From d4823258187e315eead5a1271907dcc9251cc080 Mon Sep 17 00:00:00 2001 From: DefTruth <31974251+DefTruth@users.noreply.github.com> Date: Mon, 15 Aug 2022 14:21:06 +0800 Subject: [PATCH 01/14] update (#21) * [feature][docs] add prebuilt windows python whl and cpp libs (#113) [feature][docs] add windows python whl and cpp libs * Add ernie ie task (#100) * Modify API Result Docs (#112) * first commit for yolov7 * pybind for yolov7 * CPP README.md * CPP README.md * modified yolov7.cc * README.md * python file modify * delete license in fastdeploy/ * repush the conflict part * README.md modified * README.md modified * file path modified * file path modified * file path modified * file path modified * file path modified * README modified * README modified * move some helpers to private * add examples for yolov7 * api.md modified * api.md modified * api.md modified * YOLOv7 * yolov7 release link * yolov7 release link * yolov7 release link * copyright * change some helpers to private * change variables to const and fix documents. * gitignore * Transfer some funtions to private member of class * Transfer some funtions to private member of class * Merge from develop (#9) * Fix compile problem in different python version (#26) * fix some usage problem in linux * Fix compile problem Co-authored-by: root * Add PaddleDetetion/PPYOLOE model support (#22) * add ppdet/ppyoloe * Add demo code and documents * add convert processor to vision (#27) * update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary * Fix bug while the inference result is empty with YOLOv5 (#29) * Add multi-label function for yolov5 * Update README.md Update doc * Update fastdeploy_runtime.cc fix variable option.trt_max_shape wrong name * Update runtime_option.md Update resnet model dynamic shape setting name from images to x * Fix bug when inference result boxes are empty * Delete detection.py Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> * first commit for yolor * for merge * Develop (#11) * Fix compile problem in different python version (#26) * fix some usage problem in linux * Fix compile problem Co-authored-by: root * Add PaddleDetetion/PPYOLOE model support (#22) * add ppdet/ppyoloe * Add demo code and documents * add convert processor to vision (#27) * update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary * Fix bug while the inference result is empty with YOLOv5 (#29) * Add multi-label function for yolov5 * Update README.md Update doc * Update fastdeploy_runtime.cc fix variable option.trt_max_shape wrong name * Update runtime_option.md Update resnet model dynamic shape setting name from images to x * Fix bug when inference result boxes are empty * Delete detection.py Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> * Yolor (#16) * Develop (#11) (#12) * Fix compile problem in different python version (#26) * fix some usage problem in linux * Fix compile problem Co-authored-by: root * Add PaddleDetetion/PPYOLOE model support (#22) * add ppdet/ppyoloe * Add demo code and documents * add convert processor to vision (#27) * update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary * Fix bug while the inference result is empty with YOLOv5 (#29) * Add multi-label function for yolov5 * Update README.md Update doc * Update fastdeploy_runtime.cc fix variable option.trt_max_shape wrong name * Update runtime_option.md Update resnet model dynamic shape setting name from images to x * Fix bug when inference result boxes are empty * Delete detection.py Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> * Develop (#13) * Fix compile problem in different python version (#26) * fix some usage problem in linux * Fix compile problem Co-authored-by: root * Add PaddleDetetion/PPYOLOE model support (#22) * add ppdet/ppyoloe * Add demo code and documents * add convert processor to vision (#27) * update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary * Fix bug while the inference result is empty with YOLOv5 (#29) * Add multi-label function for yolov5 * Update README.md Update doc * Update fastdeploy_runtime.cc fix variable option.trt_max_shape wrong name * Update runtime_option.md Update resnet model dynamic shape setting name from images to x * Fix bug when inference result boxes are empty * Delete detection.py Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> * documents * documents * documents * documents * documents * documents * documents * documents * documents * documents * documents * documents * Develop (#14) * Fix compile problem in different python version (#26) * fix some usage problem in linux * Fix compile problem Co-authored-by: root * Add PaddleDetetion/PPYOLOE model support (#22) * add ppdet/ppyoloe * Add demo code and documents * add convert processor to vision (#27) * update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary * Fix bug while the inference result is empty with YOLOv5 (#29) * Add multi-label function for yolov5 * Update README.md Update doc * Update fastdeploy_runtime.cc fix variable option.trt_max_shape wrong name * Update runtime_option.md Update resnet model dynamic shape setting name from images to x * Fix bug when inference result boxes are empty * Delete detection.py Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> Co-authored-by: Jason <928090362@qq.com> * add is_dynamic for YOLO series (#22) * first commit test photo * yolov7 doc * yolov7 doc * yolov7 doc * yolov7 doc * add yolov5 docs * modify yolov5 doc * first commit for retinaface * first commit for retinaface * firt commit for ultraface * firt commit for ultraface * firt commit for yolov5face * firt commit for modnet and arcface * firt commit for modnet and arcface * first commit for partial_fc * first commit for partial_fc * first commit for yolox * first commit for yolov6 * first commit for nano_det * first commit for scrfd * first commit for scrfd * first commit for retinaface * first commit for ultraface * first commit for yolov5face * first commit for yolox yolov6 nano * rm jpg * first commit for modnet and modify nano * yolor scaledyolov4 v5lite * first commit for insightface * first commit for insightface * first commit for insightface * docs * docs * docs * docs * docs * add print for detect and modify docs * docs * docs * docs * docs test for insightface * docs test for insightface again * docs test for insightface * modify all wrong expressions in docs * modify all wrong expressions in docs * modify all wrong expressions in docs * modify all wrong expressions in docs * modify docs expressions * fix expression of detection part * fix expression of detection part * fix expression of detection part * add face recognition result doc * modify result docs * modify result docs * modify result docs Co-authored-by: Jason Co-authored-by: root Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: huangjianhui <852142024@qq.com> Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jack Zhou Co-authored-by: ziqi-jin <67993288+ziqi-jin@users.noreply.github.com> Co-authored-by: Jason Co-authored-by: root Co-authored-by: huangjianhui <852142024@qq.com> Co-authored-by: Jason <928090362@qq.com> --- FastDeploy.cmake.in | 4 + csrc/fastdeploy/core/config.h.in | 8 + docs/api/vision_results/README.md | 5 +- .../vision_results/classification_result.md | 4 +- docs/api/vision_results/detection_result.md | 6 +- .../vision_results/face_detection_result.md | 8 +- .../vision_results/face_recognition_result.md | 24 +++ docs/api/vision_results/matting_result.md | 10 +- docs/compile/prebuilt_libraries.md | 10 +- docs/compile/prebuilt_wheels.md | 11 +- .../ernie/cpp/CMakeLists.txt | 25 +++ .../information_extraction/ernie/cpp/infer.cc | 182 ++++++++++++++++++ examples/vision/README.md | 1 + 13 files changed, 274 insertions(+), 24 deletions(-) create mode 100644 docs/api/vision_results/face_recognition_result.md create mode 100644 examples/text/information_extraction/ernie/cpp/CMakeLists.txt create mode 100644 examples/text/information_extraction/ernie/cpp/infer.cc diff --git a/FastDeploy.cmake.in b/FastDeploy.cmake.in index 082fa30f30b..ccd1039be29 100644 --- a/FastDeploy.cmake.in +++ b/FastDeploy.cmake.in @@ -95,6 +95,10 @@ endif() if (ENABLE_TEXT) # Add dependency libs later + find_library(FASTER_TOKENIZER_LIB core_tokenizers ${CMAKE_CURRENT_LIST_DIR}/third_libs/install/faster_tokenizer/lib NO_DEFAULT_PATH) + list(APPEND FASTDEPLOY_LIBS ${FASTER_TOKENIZER_LIB}) + list(APPEND FASTDEPLOY_INCS ${CMAKE_CURRENT_LIST_DIR}/third_libs/install/faster_tokenizer/include) + list(APPEND FASTDEPLOY_INCS ${CMAKE_CURRENT_LIST_DIR}/third_libs/install/faster_tokenizer/third_party/include) endif() if(ENABLE_PADDLE_FRONTEND) diff --git a/csrc/fastdeploy/core/config.h.in b/csrc/fastdeploy/core/config.h.in index 7713925867a..b29113f1fdb 100644 --- a/csrc/fastdeploy/core/config.h.in +++ b/csrc/fastdeploy/core/config.h.in @@ -45,6 +45,10 @@ #cmakedefine ENABLE_VISION #endif +#ifndef ENABLE_TEXT +#cmakedefine ENABLE_TEXT +#endif + #ifndef ENABLE_OPENCV_CUDA #cmakedefine ENABLE_OPENCV_CUDA #endif @@ -52,3 +56,7 @@ #ifndef ENABLE_VISION_VISUALIZE #cmakedefine ENABLE_VISION_VISUALIZE #endif + +#ifndef ENABLE_FDTENSOR_FUNC +#cmakedefine ENABLE_FDTENSOR_FUNC +#endif diff --git a/docs/api/vision_results/README.md b/docs/api/vision_results/README.md index 844388cca86..64ea4fc671b 100644 --- a/docs/api/vision_results/README.md +++ b/docs/api/vision_results/README.md @@ -6,5 +6,6 @@ FastDeploy根据视觉模型的任务类型，定义了不同的结构体(`csrcs | :----- | :--- | :---- | :------- | | ClassificationResult | [C++/Python文档](./classification_result.md) | 图像分类返回结果 | ResNet50、MobileNetV3等 | | DetectionResult | [C++/Python文档](./detection_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 | -| FaceDetectionResult | [C++/Python文档](./face_detection_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 | -| MattingResult | [C++/Python文档](./matting_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 | +| FaceDetectionResult | [C++/Python文档](./face_detection_result.md) | 目标检测返回结果 | SCRFD、RetinaFace系列模型等 | +| FaceRecognitionResult | [C++/Python文档](./face_recognition_result.md) | 目标检测返回结果 | ArcFace、CosFace系列模型等 | +| MattingResult | [C++/Python文档](./matting_result.md) | 目标检测返回结果 | MODNet系列模型等 | diff --git a/docs/api/vision_results/classification_result.md b/docs/api/vision_results/classification_result.md index 113db39608a..bf94d0ff159 100644 --- a/docs/api/vision_results/classification_result.md +++ b/docs/api/vision_results/classification_result.md @@ -2,7 +2,7 @@ ClassifyResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像的分类结果和置信度。 -## C++ 结构体 +## C++ 定义 `fastdeploy::vision::ClassifyResult` @@ -20,7 +20,7 @@ struct ClassifyResult { - **Clear()**: 成员函数，用于清除结构体中存储的结果 - **Str()**: 成员函数，将结构体中的信息以字符串形式输出（用于Debug） -## Python结构体 +## Python 定义 `fastdeploy.vision.ClassifyResult` diff --git a/docs/api/vision_results/detection_result.md b/docs/api/vision_results/detection_result.md index e44a27b34c3..a702d49899f 100644 --- a/docs/api/vision_results/detection_result.md +++ b/docs/api/vision_results/detection_result.md @@ -2,7 +2,7 @@ DetectionResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像检测出来的目标框、目标类别和目标置信度。 -## C++ 结构体 +## C++ 定义 `fastdeploy::vision::DetectionResult` @@ -22,10 +22,10 @@ struct DetectionResult { - **Clear()**: 成员函数，用于清除结构体中存储的结果 - **Str()**: 成员函数，将结构体中的信息以字符串形式输出（用于Debug） -## Python结构体 +## Python 定义 `fastdeploy.vision.DetectionResult` - **boxes**(list of list(float)): 成员变量，表示单张图片检测出来的所有目标框坐标。boxes是一个list，其每个元素为一个长度为4的list， 表示为一个框，每个框以4个float数值依次表示xmin, ymin, xmax, ymax， 即左上角和右下角坐标 - **scores**(list of float): 成员变量，表示单张图片检测出来的所有目标置信度 -- **label_ids(list of int): 成员变量，表示单张图片检测出来的所有目标类别 +- **label_ids**(list of int): 成员变量，表示单张图片检测出来的所有目标类别 diff --git a/docs/api/vision_results/face_detection_result.md b/docs/api/vision_results/face_detection_result.md index 6c9c09f0073..000b42a6be0 100644 --- a/docs/api/vision_results/face_detection_result.md +++ b/docs/api/vision_results/face_detection_result.md @@ -1,8 +1,8 @@ # FaceDetectionResult 人脸检测结果 -FaceDetectionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像检测出来的目标框、目标类别和目标置信度。 +FaceDetectionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明人脸检测出来的目标框、人脸landmarks，目标置信度和每张人脸的landmark数量。 -## C++ 结构体 +## C++ 定义 `fastdeploy::vision::FaceDetectionResult` @@ -11,7 +11,6 @@ struct FaceDetectionResult { std::vector> boxes; std::vector> landmarks; std::vector scores; - ResultType type = ResultType::FACE_DETECTION; int landmarks_per_face; void Clear(); std::string Str(); @@ -25,10 +24,11 @@ struct FaceDetectionResult { - **Clear()**: 成员函数，用于清除结构体中存储的结果 - **Str()**: 成员函数，将结构体中的信息以字符串形式输出（用于Debug） -## Python结构体 +## Python 定义 `fastdeploy.vision.FaceDetectionResult` - **boxes**(list of list(float)): 成员变量，表示单张图片检测出来的所有目标框坐标。boxes是一个list，其每个元素为一个长度为4的list， 表示为一个框，每个框以4个float数值依次表示xmin, ymin, xmax, ymax， 即左上角和右下角坐标 - **scores**(list of float): 成员变量，表示单张图片检测出来的所有目标置信度 - **landmarks**: 成员变量，表示单张图片检测出来的所有人脸的关键点 +- **landmarks_per_face**: 成员变量，表示每个人脸框中的关键点的数量。 diff --git a/docs/api/vision_results/face_recognition_result.md b/docs/api/vision_results/face_recognition_result.md new file mode 100644 index 00000000000..83160561843 --- /dev/null +++ b/docs/api/vision_results/face_recognition_result.md @@ -0,0 +1,24 @@ +# FaceRecognitionResult 人脸识别结果 + +FaceRecognitionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明人脸识别模型对图像特征的embedding。 +## C++ 定义 + +`fastdeploy::vision::FaceRecognitionResult` + +``` +struct FaceRecognitionResult { + std::vector embedding; + void Clear(); + std::string Str(); +}; +``` + +- **embedding**: 成员变量，表示人脸识别模型最终的提取的特征embedding，可以用来计算人脸之间的特征相似度。 +- **Clear()**: 成员函数，用于清除结构体中存储的结果 +- **Str()**: 成员函数，将结构体中的信息以字符串形式输出（用于Debug） + +## Python 定义 + +`fastdeploy.vision.FaceRecognitionResult` + +- **embedding**: 成员变量，表示人脸识别模型最终提取的特征embedding，可以用来计算人脸之间的特征相似度。 diff --git a/docs/api/vision_results/matting_result.md b/docs/api/vision_results/matting_result.md index 3418400ecaa..67bcbc79d21 100644 --- a/docs/api/vision_results/matting_result.md +++ b/docs/api/vision_results/matting_result.md @@ -1,15 +1,15 @@ # MattingResult 抠图结果 -MattingResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像检测出来的目标框、目标类别和目标置信度。 +MattingResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明模型预测的alpha透明度的值，预测的前景等。 -## C++ 结构体 +## C++ 定义 `fastdeploy::vision::MattingResult` ``` struct MattingResult { - std::vector alpha; // h x w - std::vector foreground; // h x w x c (c=3 default) + std::vector alpha; + std::vector foreground; std::vector shape; bool contain_foreground = false; void Clear(); @@ -25,7 +25,7 @@ struct MattingResult { - **Str()**: 成员函数，将结构体中的信息以字符串形式输出（用于Debug） -## Python结构体 +## Python 定义 `fastdeploy.vision.MattingResult` diff --git a/docs/compile/prebuilt_libraries.md b/docs/compile/prebuilt_libraries.md index 6cec3721acd..bd58fc4b0b8 100644 --- a/docs/compile/prebuilt_libraries.md +++ b/docs/compile/prebuilt_libraries.md @@ -19,17 +19,17 @@ FastDeploy提供了在Windows/Linux/Mac上的预先编译CPP部署库，开发 ### Windows 10 x64平台 -| 部署库下载地址 | 硬件 | -| :------------- | :--- | -| [comming...] | CPU | -| [comming...] | CPU/GPU | +| 部署库下载地址 | 硬件 | 说明 | +| :------------- | :--- | :--- | +| [fastdeploy-win-x64-0.2.0](https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-win-x64-0.2.0.zip) | CPU | Visual Studio 16 2019 编译产出 | +| [fastdeploy-win-x64-gpu-0.2.0](https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-win-x64-gpu-0.2.0.zip) | CPU/GPU | Visual Studio 16 2019，cuda 11.2, cudnn 8.2编译产出 | ### Linux aarch64平台 | 安装包 | 硬件 | | :---- | :-- | | [comming...] | CPU | -| [comming...] | Jetson | +| [comming...] | Jetson | ### Mac OSX平台 diff --git a/docs/compile/prebuilt_wheels.md b/docs/compile/prebuilt_wheels.md index 14ba7d40044..e3ada892e11 100644 --- a/docs/compile/prebuilt_wheels.md +++ b/docs/compile/prebuilt_wheels.md @@ -38,15 +38,20 @@ python -m pip install fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl | CPU 安装包 | 硬件 | Python版本 | | :---- | :-- | :------ | -| [comming...] | CPU | 3.8 | -| [comming...] | CPU | 3.9 | +| [fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl) | CPU | 3.8 | +| [fastdeploy_python-0.2.0-cp39-cp39-win_amd64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp39-cp39-win_amd64.whl) | CPU | 3.9 | + +| GPU 安装包 | 硬件 | Python版本 | +| :---- | :-- | :------ | +| [fastdeploy_gpu_python-0.2.0-cp38-cp38-win_amd64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp38-cp38-win_amd64.whl) | CPU/GPU | 3.8 | +| [fastdeploy_gpu_python-0.2.0-cp39-cp39-win_amd64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp39-cp39-win_amd64.whl) | CPU/GPU | 3.9 | ### Linux aarch64平台 | 安装包 | 硬件 | Python版本 | | :---- | :-- | :------ | | [comming...] | CPU | 3.7 | -| [comming...] | CPU | 3.8 | +| [comming...] | CPU | 3.8 | | [comming...] | CPU | 3.9 | ### Mac OSX平台 diff --git a/examples/text/information_extraction/ernie/cpp/CMakeLists.txt b/examples/text/information_extraction/ernie/cpp/CMakeLists.txt new file mode 100644 index 00000000000..1189820cb79 --- /dev/null +++ b/examples/text/information_extraction/ernie/cpp/CMakeLists.txt @@ -0,0 +1,25 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +PROJECT(infer_demo C CXX) +CMAKE_MINIMUM_REQUIRED (VERSION 3.12) + +option(FASTDEPLOY_INSTALL_DIR "Path of downloaded fastdeploy sdk.") + +include(${FASTDEPLOY_INSTALL_DIR}/FastDeploy.cmake) + +include_directories(${FASTDEPLOY_INCS}) + +add_executable(infer_ernie_demo ${PROJECT_SOURCE_DIR}/infer.cc) +target_link_libraries(infer_ernie_demo ${FASTDEPLOY_LIBS}) diff --git a/examples/text/information_extraction/ernie/cpp/infer.cc b/examples/text/information_extraction/ernie/cpp/infer.cc new file mode 100644 index 00000000000..7f3b9318664 --- /dev/null +++ b/examples/text/information_extraction/ernie/cpp/infer.cc @@ -0,0 +1,182 @@ +// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#include +#include + +#include "fastdeploy/function/reduce.h" +#include "fastdeploy/function/softmax.h" +#include "fastdeploy/text.h" +#include "tokenizers/ernie_faster_tokenizer.h" + +using namespace paddlenlp; + +void LoadTransitionFromFile(const std::string& file, + std::vector* transitions, int* num_tags) { + std::ifstream fin(file); + std::string curr_transition; + float transition; + int i = 0; + while (fin) { + std::getline(fin, curr_transition); + std::istringstream iss(curr_transition); + while (iss) { + iss >> transition; + transitions->push_back(transition); + } + if (curr_transition != "") { + ++i; + } + } + *num_tags = i; +} + +template +void ViterbiDecode(const fastdeploy::FDTensor& slot_logits, + const fastdeploy::FDTensor& trans, + fastdeploy::FDTensor* best_path) { + int batch_size = slot_logits.shape[0]; + int seq_len = slot_logits.shape[1]; + int num_tags = slot_logits.shape[2]; + best_path->Allocate({batch_size, seq_len}, fastdeploy::FDDataType::INT64); + + const T* slot_logits_ptr = reinterpret_cast(slot_logits.Data()); + const T* trans_ptr = reinterpret_cast(trans.Data()); + int64_t* best_path_ptr = reinterpret_cast(best_path->Data()); + std::vector scores(num_tags); + std::copy(slot_logits_ptr, slot_logits_ptr + num_tags, scores.begin()); + std::vector> M(num_tags, std::vector(num_tags)); + for (int b = 0; b < batch_size; ++b) { + std::vector> paths; + const T* curr_slot_logits_ptr = slot_logits_ptr + b * seq_len * num_tags; + int64_t* curr_best_path_ptr = best_path_ptr + b * seq_len; + for (int t = 1; t < seq_len; t++) { + for (size_t i = 0; i < num_tags; i++) { + for (size_t j = 0; j < num_tags; j++) { + auto trans_idx = i * num_tags * num_tags + j * num_tags; + auto slot_logit_idx = t * num_tags + j; + M[i][j] = scores[i] + trans_ptr[trans_idx] + + curr_slot_logits_ptr[slot_logit_idx]; + } + } + std::vector idxs; + for (size_t i = 0; i < num_tags; i++) { + T max = 0.0f; + int idx = 0; + for (size_t j = 0; j < num_tags; j++) { + if (M[j][i] > max) { + max = M[j][i]; + idx = j; + } + } + scores[i] = max; + idxs.push_back(idx); + } + paths.push_back(idxs); + } + int scores_max_index = 0; + float scores_max = 0.0f; + for (size_t i = 0; i < scores.size(); i++) { + if (scores[i] > scores_max) { + scores_max = scores[i]; + scores_max_index = i; + } + } + curr_best_path_ptr[seq_len - 1] = scores_max_index; + for (int i = seq_len - 2; i >= 0; i--) { + int index = curr_best_path_ptr[i + 1]; + curr_best_path_ptr[i] = paths[i][index]; + } + } +} + +int main() { + // 1. Define a ernie faster tokenizer + faster_tokenizer::tokenizers_impl::ErnieFasterTokenizer tokenizer( + "ernie_vocab.txt"); + std::vector strings_list = { + "导航去科技园二号楼", "屏幕亮度为我减小一点吧"}; + std::vector encodings; + tokenizer.EncodeBatchStrings(strings_list, &encodings); + size_t batch_size = strings_list.size(); + size_t seq_len = encodings[0].GetLen(); + for (auto&& encoding : encodings) { + std::cout << encoding.DebugString() << std::endl; + } + // 2. Initialize runtime + fastdeploy::RuntimeOption runtime_option; + runtime_option.SetModelPath("nano_static/model.pdmodel", + "nano_static/model.pdiparams"); + fastdeploy::Runtime runtime; + runtime.Init(runtime_option); + + // 3. Construct input vector + // 3.1 Convert encodings to input_ids, token_type_ids + std::vector input_ids, token_type_ids; + for (int i = 0; i < encodings.size(); ++i) { + auto&& curr_input_ids = encodings[i].GetIds(); + auto&& curr_type_ids = encodings[i].GetTypeIds(); + input_ids.insert(input_ids.end(), curr_input_ids.begin(), + curr_input_ids.end()); + token_type_ids.insert(token_type_ids.end(), curr_type_ids.begin(), + curr_type_ids.end()); + } + // 3.2 Set data to input vector + std::vector inputs(runtime.NumInputs()); + void* inputs_ptrs[] = {input_ids.data(), token_type_ids.data()}; + for (int i = 0; i < runtime.NumInputs(); ++i) { + inputs[i].SetExternalData({batch_size, seq_len}, + fastdeploy::FDDataType::INT64, inputs_ptrs[i]); + inputs[i].name = runtime.GetInputInfo(i).name; + } + + // 4. Infer + std::vector outputs(runtime.NumOutputs()); + runtime.Infer(inputs, &outputs); + + // 5. Postprocess + fastdeploy::FDTensor domain_probs, intent_probs; + fastdeploy::Softmax(outputs[0], &domain_probs); + fastdeploy::Softmax(outputs[1], &intent_probs); + + fastdeploy::FDTensor domain_max_probs, intent_max_probs; + fastdeploy::Max(domain_probs, &domain_max_probs, {-1}, true); + fastdeploy::Max(intent_probs, &intent_max_probs, {-1}, true); + + std::vector transition; + int num_tags; + LoadTransitionFromFile("joint_transition.txt", &transition, &num_tags); + fastdeploy::FDTensor trans; + trans.SetExternalData({num_tags, num_tags}, fastdeploy::FDDataType::FP32, + transition.data()); + + fastdeploy::FDTensor best_path; + ViterbiDecode(outputs[2], trans, &best_path); + // 6. Print result + domain_max_probs.PrintInfo(); + intent_max_probs.PrintInfo(); + + batch_size = best_path.shape[0]; + seq_len = best_path.shape[1]; + const int64_t* best_path_ptr = + reinterpret_cast(best_path.Data()); + for (int i = 0; i < batch_size; ++i) { + std::cout << "best_path[" << i << "] = "; + for (int j = 0; j < seq_len; ++j) { + std::cout << best_path_ptr[i * seq_len + j] << ", "; + } + std::cout << std::endl; + } + best_path.PrintInfo(); + return 0; +} diff --git a/examples/vision/README.md b/examples/vision/README.md index 9f05d2d7f6d..d95a315d798 100644 --- a/examples/vision/README.md +++ b/examples/vision/README.md @@ -8,6 +8,7 @@ | Segmentation | 语义分割，输入图像，给出图像中每个像素的分类及置信度 | [SegmentationResult](../../docs/api/vision_results/segmentation_result.md) | | Classification | 图像分类，输入图像，给出图像的分类结果和置信度 | [ClassifyResult](../../docs/api/vision_results/classification_result.md) | | FaceDetection | 人脸检测，输入图像，检测图像中人脸位置，并返回检测框坐标及人脸关键点 | [FaceDetectionResult](../../docs/api/vision_results/face_detection_result.md) | +| FaceRecognition | 人脸识别，输入图像，返回可用于相似度计算的人脸特征的embedding | [FaceRecognitionResult](../../docs/api/vision_results/face_recognition_result.md) | | Matting | 抠图，输入图像，返回图片的前景每个像素点的Alpha值 | [MattingResult](../../docs/api/vision_results/matting_result.md) | ## FastDeploy API设计 From 8d3e7d4d1929a9e23f70f7bc546be8b3fa1b753c Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 08:51:26 +0000 Subject: [PATCH 02/14] [feature][docs] update README.md and logo --- README.md | 261 ++++++++++++++++++----------- docs/compile/prebuilt_libraries.md | 2 +- docs/logo/fastdeploy-logo.png | Bin 0 -> 133793 bytes 3 files changed, 167 insertions(+), 96 deletions(-) create mode 100644 docs/logo/fastdeploy-logo.png diff --git a/README.md b/README.md index 5619db16009..77256586273 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,7 @@ -# ⚡️FastDeploy +![⚡️FastDeploy](docs/logo/fastdeploy-logo.png)

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@@ -18,75 +16,142 @@ **⚡️FastDeploy**是一款**简单易用**的推理部署工具箱。覆盖业界主流**优质预训练模型**并提供**开箱即用**的开发体验，包括图像分类、目标检测、图像分割、人脸检测、人体关键点识别、文字识别等多任务，满足开发者**多场景**，**多硬件**、**多平台**的快速部署需求。 -## 发版历史 +## 0. 发版历史 - [v0.2.0] 2022.08.18 全面开源服务端部署代码，支持40+视觉模型在CPU/GPU，以及通过GPU TensorRT加速部署 -## 服务端模型 - -| 任务场景 | 模型 | CPU | NVIDIA GPU | TensorRT | -| -------- | ------------------------------------------------------------ | ------- | ---------- | ------------------- | -| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | √ | √ | √ | -| | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | √ | √ | √ | -| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | √ | √ | √ | -| | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | √ | √ | √ | -| | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | √ | √ | √ | -| | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | √ | √ | √ | -| | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | √ | √ | - | -| | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | √ | √ | - | -| | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | √ | √ | - | -| | [WongKinYiu/YOLOv7](./examples/vision/detection/yolov7) | √ | √ | √ | - -## 快速开始 - -#### 安装FastDeploy Python - +## 1. 内容目录 +* [服务端模型列表](#fastdeploy-server-models) +* [服务端快速开始](#fastdeploy-quick-start) + * [Python预测示例](#fastdeploy-quick-start-python) + * [C++预测示例](#fastdeploy-quick-start-cpp) +* [更多服务端部署示例](#fastdeploy-server-cases) +* [轻量化SDK快速实现端侧AI推理部署](#fastdeploy-edge-sdk) + * [边缘侧部署](#fastdeploy-edge-sdk-arm-linux) + * [移动端部署](#fastdeploy-edge-sdk-ios-android) + * [自定义模型部署](#fastdeploy-edge-sdk-custom) +* [社区交流](#fastdeploy-community) +* [Acknowledge](#fastdeploy-acknowledge) +* [License](#fastdeploy-license) +## 2. 服务端模型列表 + +

+ +符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 +| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle Inference | TensorRT | ORT | +| -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| +| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PP-HGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | √ | √ | ? |√ | √ | +| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/YOLOv5-Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/NanoDet-Plus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | √ | √ | ? | √ | √ | +| 图像/人像分割 | [PaddleSeg/PP-LiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | +| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Lite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | +| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Lite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 图像/人像分割 | [PaddleSeg/HRNet-w18](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | ? | +| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Server](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 图像/人像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 图像/人像分割 | [PaddleSeg/Deeplabv3-ResNet50](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | √ | √ | ? | √ | √ | +| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | √ | √ | ? |√ | √ | +| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | √ | √ | ? |√ | √ | +| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | √ | √ | ? | √ | √ | +| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | √ | √ | ? | √ | √ | + + +## 3. 服务端快速开始 +
+ +
+💡 安装FastDeploy Python/C++ 用户根据开发环境选择安装版本，更多安装环境参考[安装文档](docs/quick_start/install.md). -``` +```bash pip install https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl ``` - -准备目标检测模型和测试图片 +或获取C++预编译库，更多可用的预编译库请参考[C++预编译库下载](docs/compile/prebuilt_libraries.md) +```bash +wget https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-0.2.0.tgz ``` +准备目标检测模型和测试图片 +```bash wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz tar xvf ppyoloe_crn_l_300e_coco.tgz wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg ``` +
-加载模型预测 -``` -import fastdeploy.vision as vis +### 3.1 Python预测示例 +
+ +```python import cv2 +import fastdeploy.vision as vision -model = vis.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", - "ppyoloe_crn_l_300e_coco/model.pdiparams", - "ppyoloe_crn_l_300e_coco/infer_cfg.yml") +model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", + "ppyoloe_crn_l_300e_coco/model.pdiparams", + "ppyoloe_crn_l_300e_coco/infer_cfg.yml") im = cv2.imread("000000014439.jpg") result = model.predict(im.copy()) print(result) -vis_im = fd.vision.vis_detection(im, result, score_threshold=0.5) +vis_im = vision.vis_detection(im, result, score_threshold=0.5) cv2.imwrite("vis_image.jpg", vis_im) ``` +### 3.2 C++预测示例 +
-预测完成，可视化结果保存至`vis_image.jpg`，同时输出检测结果如下 -``` -DetectionResult: [xmin, ymin, xmax, ymax, score, label_id] -415.047363,89.311523, 506.009613, 283.863129, 0.950423, 0 -163.665710,81.914894, 198.585342, 166.760880, 0.896433, 0 -581.788635,113.027596, 612.623474, 198.521713, 0.842597, 0 -267.217224,89.777321, 298.796051, 169.361496, 0.837951, 0 -104.465599,45.482410, 127.688835, 93.533875, 0.773348, 0 -... +```C++ +#include "fastdeploy/vision.h" + +int main(int argc, char* argv[]) { + namespce vision = fastdeploy::vision; + auto model_file = "ppyoloe_crn_l_300e_coco/model.pdmodel"; + auto params_file = "ppyoloe_crn_l_300e_coco/model.pdiparams"; + auto config_file = "ppyoloe_crn_l_300e_coco/infer_cfg.yml"; + auto model = vision::detection::PPYOLOE(model_file, params_file, config_file); + + auto im = cv::imread(image_file); + auto im_bak = im.clone(); + + vision::DetectionResult res; + model.Predict(&im, &res) + + auto vis_im = vision::Visualize::VisDetection(im_bak, res, 0.5); + cv::imwrite("vis_result.jpg", vis_im); + std::cout << "Visualized result saved in ./vis_image.jpg" << std::endl; +} ``` -## 更多服务端部署示例 +## 4. 更多服务端部署示例 +
FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、GPU以及TensorRT的部署 @@ -99,67 +164,71 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G - [人脸检测模型部署](examples/vision/facedet) - [更多视觉模型部署示例...](examples/vision) -### 📱轻量化SDK快速实现端侧AI推理部署 +## 5. 📱轻量化SDK快速实现端侧AI推理部署 +
| 任务场景 | 模型 | 大小(MB) | 边缘端 | 移动端 | 移动端 | | ------------------ | ---------------------------- | --------------------- | --------------------- | ---------------------- | --------------------- | -| ---- | --- | --- | Linux | Android | iOS | -| ----- | ---- | --- | ARM CPU | ARM CPU | ARM CPU | -| Classfication | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | -| | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ | -| | EfficientNet | 31.4 | ✅ | ✅ | ✅ | -| | GhostNet | 20.8 | ✅ | ✅ | ✅ | -| | MobileNetV1 | 17 | ✅ | ✅ | ✅ | -| | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ | -| | MobileNetV3 | 22 | ✅ | ✅ | ✅ | -| | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ | -| | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ | -| | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ | -| | PP-HGNet | 59 | ✅ | ✅ | ✅ | -| | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ | -| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ | -| | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ | -| | CenterNet | 4.8 | ✅ | ✅ | ✅ | -| | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ | -| | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ | -| | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ | -| | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ | -| | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ | -| | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ | -| | YOLOv5s | 29.3 | ✅ | ✅ | ✅ | -| Face Detection | BlazeFace | 1.5 | ✅ | ✅ | ✅ | -| Face Localisation | RetinaFace | 1.7 | ✅ | ❌ | ❌ | -| Keypoint Detection | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | -| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | -| | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | -| | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | -| | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | -| | Unet | 53.7 | ❌ | ✅ | ❌ | -| OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ | -| | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ | -| | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | -| | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ | - - -#### 边缘侧部署 - -- ARM Linux 系统 +| --- | --- | --- | Linux | Android | iOS | +| --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | +| 图像分类 | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | +| 图像分类 | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ | +| 图像分类 | EfficientNet | 31.4 | ✅ | ✅ | ✅ | +| 图像分类 | GhostNet | 20.8 | ✅ | ✅ | ✅ | +| 图像分类 | MobileNetV1 | 17 | ✅ | ✅ | ✅ | +| 图像分类 | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ | +| 图像分类 | MobileNetV3 | 22 | ✅ | ✅ | ✅ | +| 图像分类 | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ | +| 图像分类 | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ | +| 图像分类 | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ | +| 图像分类 | PP-HGNet | 59 | ✅ | ✅ | ✅ | +| 图像分类 | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ | +| 目标检测 | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ | +| 目标检测 | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ | +| 目标检测 | CenterNet | 4.8 | ✅ | ✅ | ✅ | +| 目标检测 | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ | +| 目标检测 | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ | +| 目标检测 | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ | +| 目标检测 | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ | +| 目标检测 | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ | +| 目标检测 | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ | +| 目标检测 | YOLOv5s | 29.3 | ✅ | ✅ | ✅ | +| 人脸检测 | BlazeFace | 1.5 | ✅ | ✅ | ✅ | +| 人脸检测 | RetinaFace | 1.7 | ✅ | ❌ | ❌ | +| 人体关键点检测 | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | +| 图像/人像分割 | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | +| 图像/人像分割 | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | +| 图像/人像分割 | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | +| 图像/人像分割 | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | +| 图像/人像分割 | Unet | 53.7 | ❌ | ✅ | ❌ | +| OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ | +| OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ | +| OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | +| OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ | + +### 5.1 边缘侧部署 +
+ +- ARM Linux 系统 - [C++ Inference部署（含视频流）](./docs/ARM-Linux-CPP-SDK-Inference.md) - [C++ 服务化部署](./docs/ARM-Linux-CPP-SDK-Serving.md) - [Python Inference部署](./docs/ARM-Linux-Python-SDK-Inference.md) - [Python 服务化部署](./docs/ARM-Linux-Python-SDK-Serving.md) -#### 移动端部署 +### 5.2 移动端部署 +
- [iOS 系统部署](./docs/iOS-SDK.md) - [Android 系统部署](./docs/Android-SDK.md) -#### 自定义模型部署 +### 5.3 自定义模型部署 +
- [快速实现个性化模型替换](./docs/Replace-Model-With-Anther-One.md) -## 社区交流 +## 6. 社区交流 +
- **加入社区👬：** 微信扫描二维码后，填写问卷加入交流群，与开发者共同讨论推理部署痛点问题 @@ -167,11 +236,13 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G -## Acknowledge +## 7. Acknowledge +
本项目中SDK生成和下载使用了[EasyEdge](https://ai.baidu.com/easyedge/app/openSource)中的免费开放能力，再次表示感谢。 -## License +## 8. License +
FastDeploy遵循[Apache-2.0开源协议](./LICENSE)。 diff --git a/docs/compile/prebuilt_libraries.md b/docs/compile/prebuilt_libraries.md index bd58fc4b0b8..f960b105ba0 100644 --- a/docs/compile/prebuilt_libraries.md +++ b/docs/compile/prebuilt_libraries.md @@ -1,4 +1,4 @@ -# FastDeploy 预编编译Python Wheel包 +# FastDeploy 预编编译 C++ 库 FastDeploy提供了在Windows/Linux/Mac上的预先编译CPP部署库，开发者可以直接下载后使用，也可以自行编译代码。 diff --git a/docs/logo/fastdeploy-logo.png b/docs/logo/fastdeploy-logo.png new file mode 100644 index 0000000000000000000000000000000000000000..fe94ed2f5d781c19546bf05bc7b3643486ffd618 GIT binary patch literal 133793 zcmeFZXFQyJ)HTW&41yrh1yQ5-UWO>qi9|`15mBO-=yf6@q9sJHi6GHybVi8YqIaW5 zAH8!1ahK;gAI|&U`Eq{0e2NUNxn}RZ)?Rz<|0PgeRUQ|c92*4%1y|vo%zYFTf?^aD z)J_lv@)ZLQAr|C6sE+sLrBQM_DHl;tXiyYnq#n2$tc>Fp&zb0RBG%8^$xK~wG3yE* z25w~DMkO5ZuPCu%V{fUjh|Ai<;O52qFz|5MLinAcEBdTS3|U&$_04JZrT!J%jdY!7 z=;$#}*Lpqd)Neze_V!rEPRBtX550Ha^3RUM96N{2e3D8`adDCs_I#4MP8WyGYCX?X zt^t6c>oj0r6x84Gg}PMA7xlYXzvEJW-O_caK-_P-y~}H6f?*!rX z&$ns1)3H-;|4t;*bj#uYo(Nvv75FA9RNx`$P1@g?9jJi&?*t+64@Lf-68b}tzlkpX zP~>l-i$4_ko5=hRMgF14|I~B;sL0=h#6K$X_aG6eOaG|I-x10`gZ6I{D}N~R4@Lf8 zJ63-N?f)cC{*Jr)A20Iv@Yx?P@;AArf4s=wV`u-N$UhYM-yr#CUGsa8_-9@7n~?bb z!*$Jws5Q^kS%Ck(4*TOv{*Dp;&vyIwNM7Xp`e$|Xn?m_#b@Q9tkUtdpha&%z-1y^5 z{w5^;S>5~|B>q|5{HAjze^xiYNv!;#$UhYM_X^?vu&Dm{lK)Ab{2li{tDC=L@qbu@ z|86LMRyY66C;m(3{8`=n9>e&5P~RY>2lgB$407M4>&q?@VaE2OaFMXz$qOG5tTF-<)%{wsOF0Qq8Haf88Ke%xTe_hy*p2Kv}tmrt@ zb6fBk%b6qGoH^S~MOt+5=Q`;*t+W;lC|CVzPxA;v{6@2q$gAE+)iWzsB}La3sHdALuao7a4DxTkeg3HxPM|7wN*uV0X& zB11%npb@={_vbt6UuVl>n_np}G>g6e#MiQ~!^7Q=Q>4&47WZW{qGM_7@m7V!U)TzM z2~%Tu=0`BfsUkkIzeQgwvW1@c4#oc7#l3N*fR9eQmgw`89jw9y`qHTkl^u-3&)&^u zp$&Zf^^r1Rt@KQcZX?QlXNkOZS!V*7G@aGV=vwp#)%0c()6T?UV&)X4TaEM-W~VOs z%mkEg{uhrxJ_GUYZDz*~+TbT0==~5htYyFJ6fRpe?4XO+qNCaoUYu7V$;}Y3eR|rM zyqi4QWb?S^2=ANV>HA~ZB7x*b4Q!!uR|z=hXIV}pgZ_|gz`J+x>Jrxb<;^kWg>dDC zm=*JStHyAqwP-Q1*yE$lr?rfgE}^v+i*e)80xDIg>S5j*+AQ%!d^5U9Eh|=9W_uqc zvg?0E%Y$&ggq~zus+hH;PFcRohaoCqq;7uB7b*Cr{bU!M;Wz!T3%ggcJ$%Q%k0#9Hl7H7w`V8b zs%^V{a`N8jWK?+0GY9!}2ah5SLsBUN`OCKs(oH#0Z_!s65oO%rwNc%?d!o!2a8V7x zDKO0Ngo&o|(aE|nrOgA0`M66;meYkV(R2Dx`tIToG%>}JnlPJDyF*Kv4tDS|bRuUP z@wQYL{x{y$HR0{_>+T6JL?aSt`qCMXk}M-#=4(w^^3)=zV-K=jbAry+O;y&@*)jeV z^=t2t&sEa8=UYWyl4}51A?{d1wevx)ii3puAkf~XIFCYaGnpHPq13oYXJa&#M$8Cw`lGz^Y^q&*fLB-_CB>7 z@kX+DR1_Q5@Pn@FhyfP5#yV=+0+S+U(>ZY3FM~iwgZN1QSR`RfEkdle-cu8c4I5f0 z+@-uZ_C8xNf{F1!Cr+jkm#LD%nXM$#*Z zTCL0|c$b}D;$O9N5tcr}{Umx9dg1)A7t||TuV}p9^UM_hTjzu&jD>AEYtKAwiWqG- zng8{RFa+`$YOe!xlACVNLXjl`5U_UYVdi-MYh&5?t{o_54ZL||f@ zMA^wQX0F6GzhSkDfxyzoM0C>$p`nD?S^AkUX2jfky|?Lmv?p};-KY4~)OfdCHeYs< z#K)tX%;#<#cHI9!&hmZZms@aQ&+6 z3oFI(WNuM&ekshQ82DP}(qG7m2F1uulNwJ5j=wLA#F*%sa#s<<}(?s#V*e0SN- zxFa_(aIUs&B{-mzUWJ0?37Z|VsFvM7@V6AA*YpqDtm8b}gzg4$m2>*^XRpihkO4vG zKf=wa5FvSwlgBzN_0w!ucvZD-d_3`ffmIj^R2=76Dco4(wto2R!(S2iMz(++?-*;7 zaG&@C^--<>^5WXP#Ms##g_EA?pnU9zdum@VSrpOI* z+v1%mB>$}5O|k04(R9ya{X{-a-miG zmuH(B^r^dgh>7=AqBG?m4|F)b(fYbl z#%GdMd-x;9Khg1&3%z_bt3+D9qh%Mpgmr`7XBGN5&#vF!EDnwL=4we-o_k@czqVX9 zuq{u(9Pj9@XfTM`nappwStT(aD-E&5K7J66?_34rjTrl3AF>D}egU(LFc{Jq-0)Jc zS*~dIyplryDEXr6=98GVw)eOOJ~ZYrmS-c$h+00ys+E(mnu6qOX;WfbL9T8@+rs9H z+)JHyRpov-!6VTzn9+sd7a0qF3ofVSyyu`0N0~IPkRCx<#U_04`sw$&7N#}j)5()+ zwjG}8r=tyPXx_#Ltfwc5bTWL!^6bmJNs;CJE%tXkUJu)PvZ&;?uO*BoBzASxBwzzU zeT2->3o*fSQK-`Fr^YxcHcBmz9Sy(oEqh4TA^$?gtGf{Ga4!*?of8G`^viG~bO4gc zpH8Zs&&02LakStw9rV2A`f7F{6TXX+9ws;fDR`)GI={hqxQ_D(o=qAcmQX__ z2dO5OE(Hh8CjN9H9T32}Y~eBHP&1ao>9c>=G}kAn#6)w%H)S{d&eleCgQ3O1Y^KJhv(`To zc&!NLc|0xDZm@evV#L+R3`iy|>P0cin_4ionIY4DXU`sFCiyua+3iXSyqJS*dMt?d16iGoeu-~h=X@s*!;tfjJ zR*ST_b;Nmoz2EWfj;6reJbi|<5CTp29g`qui%bB2I^pL#b{gT@E^PaB3a6RpS!V-6 z1?kdW(o_BNT6yg3N z{c1>lMevS-cSak)ky;;F{S*wUyK%F}@Jg0{Kn7TW11es$F-5<4O{W+z zcX;gD=wPoHx`>>XQcoUj@MiJS4vq^?o|(aay%k3*X{>=OVc9RC{%LiGW5O z*}is#2MR`T6%5AC0S>ypuLX^W@Dyv=#N%6Fbkhtt*y1k1#WC;d-x2q9Qs77q!>u&E z2|dBM_PBzpB~N=8dK*X_1J+G05WBON*76~;bU?z#%T{q>B)fwu(vq{)!Nf5teH$

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符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 -| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle Inference | TensorRT | ORT | +| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle Inference | TensorRT | ONNXRuntime | | -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| | 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | | 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | From fddc42ebb04cfac82a72ed2ccbfbaf0d0315a3f9 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 08:59:39 +0000 Subject: [PATCH 04/14] [feature][docs] update README.md and logo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bcaceb3b6f6..0997920d225 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@
符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 -| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle Inference | TensorRT | ONNXRuntime | +| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle | TRT | ORT | | -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| | 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | | 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | From b6b7fef08450236b1e7c28ba943121e87375dced Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 09:12:10 +0000 Subject: [PATCH 05/14] [feature][docs] update README.md and logo --- README.md | 99 +++++++++++++++++++++++++++---------------------------- 1 file changed, 49 insertions(+), 50 deletions(-) diff --git a/README.md b/README.md index 0997920d225..5c195d772c4 100644 --- a/README.md +++ b/README.md @@ -37,52 +37,51 @@
符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 -| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle | TRT | ORT | +| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle | TRT | ORT | | -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| -| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PP-HGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | √ | √ | ? |√ | √ | -| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/YOLOv5-Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/NanoDet-Plus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | √ | √ | ? | √ | √ | -| 图像/人像分割 | [PaddleSeg/PP-LiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | -| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Lite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | -| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Lite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 图像/人像分割 | [PaddleSeg/HRNet-w18](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | ? | -| 图像/人像分割 | [PaddleSeg/PP-HumanSeg-Server](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 图像/人像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 图像/人像分割 | [PaddleSeg/Deeplabv3-ResNet50](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | √ | √ | ? | √ | √ | -| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | √ | √ | ? |√ | √ | -| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | √ | √ | ? |√ | √ | -| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | √ | √ | ? | √ | √ | -| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | √ | √ | ? | √ | √ | +| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | +| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | +| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | √ | √ | ? | √ |√ | +| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | √ | √ | ? |√ | √ | +| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | √ | √ | ? | √ | √ | +| 目标检测 | [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | √ | √ | ? | √ | √ | +| 图像分割 | [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | +| 图像分割 | [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | +| 图像分割 | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | ? | +| 图像分割 | [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 图像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 图像分割 | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | +| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | √ | √ | ? | √ | √ | +| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [ Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | √ | √ | ? |√ | √ | +| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | √ | √ | ? |√ | √ | +| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | √ | √ | ? | √ | √ | +| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | +| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | √ | √ | ? | √ | √ | ## 3. 服务端快速开始 @@ -197,11 +196,11 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G | 人脸检测 | BlazeFace | 1.5 | ✅ | ✅ | ✅ | | 人脸检测 | RetinaFace | 1.7 | ✅ | ❌ | ❌ | | 人体关键点检测 | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | -| 图像/人像分割 | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | -| 图像/人像分割 | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | -| 图像/人像分割 | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | -| 图像/人像分割 | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | -| 图像/人像分割 | Unet | 53.7 | ❌ | ✅ | ❌ | +| 图像分割 | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | +| 图像分割 | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | +| 图像分割 | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | +| 图像分割 | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | +| 图像分割 | Unet | 53.7 | ❌ | ✅ | ❌ | | OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ | | OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ | | OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | From c314a20994218608ea74dca5d792a099e692be37 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 09:13:21 +0000 Subject: [PATCH 06/14] [feature][docs] update README.md and logo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5c195d772c4..6958979613c 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@
符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 -| 任务场景 | 模型 | API | CPU | NVIDIA GPU | Paddle | TRT | ORT | +| 任务场景 | 模型 | API | CPU | GPU | Paddle | TRT | ORT | | -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| | 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | | 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | From e51d99dbe7103770fda38325a0ffc5b7edb333dc Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 09:15:28 +0000 Subject: [PATCH 07/14] [feature][docs] update README.md and logo --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6958979613c..f5f5f7eeee4 100644 --- a/README.md +++ b/README.md @@ -89,7 +89,8 @@
💡 安装FastDeploy Python/C++ -用户根据开发环境选择安装版本，更多安装环境参考[安装文档](docs/quick_start/install.md). + +用户根据开发环境选择安装版本，更多安装环境参考 [安装文档](docs/quick_start/install.md) . ```bash pip install https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl From da942463cedbbf7f640c57d2e17f186edd278ea9 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 09:19:44 +0000 Subject: [PATCH 08/14] [feature][docs] update README.md and logo --- README.md | 17 +++++------------ 1 file changed, 5 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index f5f5f7eeee4..3329cc0f6dd 100644 --- a/README.md +++ b/README.md @@ -114,10 +114,8 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000 import cv2 import fastdeploy.vision as vision -model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", - "ppyoloe_crn_l_300e_coco/model.pdiparams", - "ppyoloe_crn_l_300e_coco/infer_cfg.yml") - +model = vision.detection.PPYOLOE( + "model.pdmodel", "model.pdiparams", "infer_cfg.yml") im = cv2.imread("000000014439.jpg") result = model.predict(im.copy()) print(result) @@ -133,20 +131,15 @@ cv2.imwrite("vis_image.jpg", vis_im) int main(int argc, char* argv[]) { namespce vision = fastdeploy::vision; - auto model_file = "ppyoloe_crn_l_300e_coco/model.pdmodel"; - auto params_file = "ppyoloe_crn_l_300e_coco/model.pdiparams"; - auto config_file = "ppyoloe_crn_l_300e_coco/infer_cfg.yml"; - auto model = vision::detection::PPYOLOE(model_file, params_file, config_file); - + auto model = vision::detection::PPYOLOE( + "model.pdmodel", "model.pdiparams", "infer_cfg.yml"); auto im = cv::imread(image_file); - auto im_bak = im.clone(); vision::DetectionResult res; model.Predict(&im, &res) - auto vis_im = vision::Visualize::VisDetection(im_bak, res, 0.5); + auto vis_im = vision::Visualize::VisDetection(im, res, 0.5); cv::imwrite("vis_result.jpg", vis_im); - std::cout << "Visualized result saved in ./vis_image.jpg" << std::endl; } ``` From 3eacb3aa3c513306f8439885eef3d2ffa61ef2bf Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 09:58:20 +0000 Subject: [PATCH 09/14] feature][docs] update README.md and logo --- README.md | 125 ++++++++++++++++++++++++------------------------------ 1 file changed, 56 insertions(+), 69 deletions(-) diff --git a/README.md b/README.md index 3329cc0f6dd..d96b0704ebe 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,6 @@ * [服务端快速开始](#fastdeploy-quick-start) * [Python预测示例](#fastdeploy-quick-start-python) * [C++预测示例](#fastdeploy-quick-start-cpp) -* [更多服务端部署示例](#fastdeploy-server-cases) * [轻量化SDK快速实现端侧AI推理部署](#fastdeploy-edge-sdk) * [边缘侧部署](#fastdeploy-edge-sdk-arm-linux) * [移动端部署](#fastdeploy-edge-sdk-ios-android) @@ -36,53 +35,54 @@
-符号说明: (1) √: 已经支持, (2) ?: 待详细测试, (3) -: 暂不支持, (4) contrib: 非飞桨生态模型 -| 任务场景 | 模型 | API | CPU | GPU | Paddle | TRT | ORT | -| -------- | ------------------------------------------------------------ | ------- | ------- | ---------- | ---------| ---------| ---------| -| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | √ | ? | -| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | √ | √ | √ | - | ? | -| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | √ | √ | ? | √ |√ | -| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | √ | √ | ? |√ | √ | -| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | √ | √ | ? | √ | √ | -| 目标检测 | [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | √ | √ | ? | √ | √ | -| 图像分割 | [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | -| 图像分割 | [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ | √ | ? | -| 图像分割 | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | ? | -| 图像分割 | [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 图像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 图像分割 | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | √ | √ | √ |√ | ? | -| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | √ | √ | ? | √ | √ | -| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [ Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | √ | √ | ? |√ | √ | -| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | √ | √ | ? |√ | √ | -| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | √ | √ | ? | √ | √ | -| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | √ | √ | ? |√ | √ | -| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | √ | √ | ? | √ | √ | - +符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型 +| 任务场景 | 模型 | API | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | +| -------------------- | ------------------ | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | +| --- | --- | --- | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | +| --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson GPU | +| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 目标检测 | [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 图像分割 | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [ Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | ## 3. 服务端快速开始
@@ -142,22 +142,9 @@ int main(int argc, char* argv[]) { cv::imwrite("vis_result.jpg", vis_im); } ``` +更多部署案例请参考[视觉模型部署示例...](examples/vision) . -## 4. 更多服务端部署示例 -
- -FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、GPU以及TensorRT的部署 - -- [PaddleDetection模型部署](examples/vision/detection/paddledetection) -- [PaddleClas模型部署](examples/vision/classification/paddleclas) -- [PaddleSeg模型部署](examples/vision/segmentation/paddleseg) -- [YOLOv7部署](examples/vision/detection/yolov7) -- [YOLOv6部署](examples/vision/detection/yolov6) -- [YOLOv5部署](examples/vision/detection/yolov5) -- [人脸检测模型部署](examples/vision/facedet) -- [更多视觉模型部署示例...](examples/vision) - -## 5. 📱轻量化SDK快速实现端侧AI推理部署 +## 4. 📱轻量化SDK快速实现端侧AI推理部署
@@ -200,7 +187,7 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G | OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | | OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ | -### 5.1 边缘侧部署 +### 4.1 边缘侧部署
- ARM Linux 系统 @@ -209,18 +196,18 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G - [Python Inference部署](./docs/ARM-Linux-Python-SDK-Inference.md) - [Python 服务化部署](./docs/ARM-Linux-Python-SDK-Serving.md) -### 5.2 移动端部署 +### 4.2 移动端部署
- [iOS 系统部署](./docs/iOS-SDK.md) - [Android 系统部署](./docs/Android-SDK.md) -### 5.3 自定义模型部署 +### 4.3 自定义模型部署
- [快速实现个性化模型替换](./docs/Replace-Model-With-Anther-One.md) -## 6. 社区交流 +## 5. 社区交流
- **加入社区👬：** 微信扫描二维码后，填写问卷加入交流群，与开发者共同讨论推理部署痛点问题 @@ -229,13 +216,13 @@ FastDeploy提供了大量部署示例供开发者参考，支持模型在CPU、G -## 7. Acknowledge +## 6. Acknowledge
本项目中SDK生成和下载使用了[EasyEdge](https://ai.baidu.com/easyedge/app/openSource)中的免费开放能力，再次表示感谢。 -## 8. License +## 7. License
FastDeploy遵循[Apache-2.0开源协议](./LICENSE)。 From 79624f9d12c2a192adc0648f77fd4dc4f9d245cc Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 10:01:21 +0000 Subject: [PATCH 10/14] feature][docs] update README.md and logo --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d96b0704ebe..d8714b276fa 100644 --- a/README.md +++ b/README.md @@ -36,8 +36,8 @@
符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型 -| 任务场景 | 模型 | API | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | -| -------------------- | ------------------ | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | +| 任务场景 | 模型 | API | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | +| -------------------- | ------------------ | ----------------- | ----------------- | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | | --- | --- | --- | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | | --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson GPU | | 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | From bfde0288d4d7891e30089095ec96d90ac5a808e6 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 10:24:37 +0000 Subject: [PATCH 11/14] feature][docs] update README.md and logo --- README.md | 175 +++++++++++++++++++++++++++--------------------------- 1 file changed, 86 insertions(+), 89 deletions(-) diff --git a/README.md b/README.md index d8714b276fa..a1f1aaaf486 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ **⚡️FastDeploy**是一款**简单易用**的推理部署工具箱。覆盖业界主流**优质预训练模型**并提供**开箱即用**的开发体验，包括图像分类、目标检测、图像分割、人脸检测、人体关键点识别、文字识别等多任务，满足开发者**多场景**，**多硬件**、**多平台**的快速部署需求。 ## 0. 发版历史 -- [v0.2.0] 2022.08.18 全面开源服务端部署代码，支持40+视觉模型在CPU/GPU，以及通过GPU TensorRT加速部署 +- [v0.2.0] 2022.08.18 全面开源服务端部署代码，支持40+视觉模型在CPU/GPU，以及通过TensorRT加速部署 ## 1. 内容目录 * [服务端模型列表](#fastdeploy-server-models) @@ -31,58 +31,58 @@ * [社区交流](#fastdeploy-community) * [Acknowledge](#fastdeploy-acknowledge) * [License](#fastdeploy-license) -## 2. 服务端模型列表 +## 2. 服务端模型列表 🔥🔥🔥
符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型 -| 任务场景 | 模型 | API | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | 平台/硬件 | -| -------------------- | ------------------ | ----------------- | ----------------- | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | -| --- | --- | --- | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | -| --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson GPU | -| 图像分类 | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分类 | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 目标检测 | [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 图像分割 | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸检测 | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸检测 | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [ Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸检测 | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸检测 | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸识别 | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸识别 | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸识别 | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人脸识别 | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -| 人像抠图 | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| 任务场景 | 模型 | API | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | +| -------------------- | ------------------ | ----------------- | ----------------- | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | +| --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson | +| Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Classification | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Detection | [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Segmentation | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceDetection | [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceDetection | [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [ Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceDetection | [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceDetection | [Contrib/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceRecognition | [Contrib/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceRecognition | [Contrib/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceRecognition | [Contrib/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| FaceRecognition | [Contrib/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | +| Matting | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | + ## 3. 服务端快速开始
@@ -114,8 +114,7 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000 import cv2 import fastdeploy.vision as vision -model = vision.detection.PPYOLOE( - "model.pdmodel", "model.pdiparams", "infer_cfg.yml") +model = vision.detection.PPYOLOE("model.pdmodel", "model.pdiparams", "infer_cfg.yml") im = cv2.imread("000000014439.jpg") result = model.predict(im.copy()) print(result) @@ -130,58 +129,56 @@ cv2.imwrite("vis_image.jpg", vis_im) #include "fastdeploy/vision.h" int main(int argc, char* argv[]) { - namespce vision = fastdeploy::vision; - auto model = vision::detection::PPYOLOE( - "model.pdmodel", "model.pdiparams", "infer_cfg.yml"); - auto im = cv::imread(image_file); + namespace vision = fastdeploy::vision; + auto model = vision::detection::PPYOLOE("model.pdmodel", "model.pdiparams", "infer_cfg.yml"); + auto im = cv::imread("000000014439.jpg"); vision::DetectionResult res; model.Predict(&im, &res) auto vis_im = vision::Visualize::VisDetection(im, res, 0.5); - cv::imwrite("vis_result.jpg", vis_im); + cv::imwrite("vis_image.jpg", vis_im); } ``` -更多部署案例请参考[视觉模型部署示例...](examples/vision) . +更多部署案例请参考[视觉模型部署示例](examples/vision) . -## 4. 📱轻量化SDK快速实现端侧AI推理部署 +## 4. 轻量化SDK快速实现端侧AI推理部署 📱
- | 任务场景 | 模型 | 大小(MB) | 边缘端 | 移动端 | 移动端 | | ------------------ | ---------------------------- | --------------------- | --------------------- | ---------------------- | --------------------- | | --- | --- | --- | Linux | Android | iOS | | --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | -| 图像分类 | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | -| 图像分类 | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ | -| 图像分类 | EfficientNet | 31.4 | ✅ | ✅ | ✅ | -| 图像分类 | GhostNet | 20.8 | ✅ | ✅ | ✅ | -| 图像分类 | MobileNetV1 | 17 | ✅ | ✅ | ✅ | -| 图像分类 | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ | -| 图像分类 | MobileNetV3 | 22 | ✅ | ✅ | ✅ | -| 图像分类 | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ | -| 图像分类 | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ | -| 图像分类 | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ | -| 图像分类 | PP-HGNet | 59 | ✅ | ✅ | ✅ | -| 图像分类 | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ | -| 目标检测 | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ | -| 目标检测 | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ | -| 目标检测 | CenterNet | 4.8 | ✅ | ✅ | ✅ | -| 目标检测 | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ | -| 目标检测 | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ | -| 目标检测 | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ | -| 目标检测 | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ | -| 目标检测 | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ | -| 目标检测 | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ | -| 目标检测 | YOLOv5s | 29.3 | ✅ | ✅ | ✅ | -| 人脸检测 | BlazeFace | 1.5 | ✅ | ✅ | ✅ | -| 人脸检测 | RetinaFace | 1.7 | ✅ | ❌ | ❌ | -| 人体关键点检测 | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | -| 图像分割 | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | -| 图像分割 | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | -| 图像分割 | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | -| 图像分割 | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | -| 图像分割 | Unet | 53.7 | ❌ | ✅ | ❌ | +| Classification | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | +| Classification | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ | +| Classification | EfficientNet | 31.4 | ✅ | ✅ | ✅ | +| Classification | GhostNet | 20.8 | ✅ | ✅ | ✅ | +| Classification | MobileNetV1 | 17 | ✅ | ✅ | ✅ | +| Classification | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ | +| Classification | MobileNetV3 | 22 | ✅ | ✅ | ✅ | +| Classification | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ | +| Classification | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ | +| Classification | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ | +| Classification | PP-HGNet | 59 | ✅ | ✅ | ✅ | +| Classification | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ | +| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ | +| Detection | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ | +| Detection | CenterNet | 4.8 | ✅ | ✅ | ✅ | +| Detection | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ | +| Detection | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ | +| Detection | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ | +| Detection | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ | +| Detection | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ | +| Detection | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ | +| Detection | YOLOv5s | 29.3 | ✅ | ✅ | ✅ | +| FaceDetection | BlazeFace | 1.5 | ✅ | ✅ | ✅ | +| FaceDetection | RetinaFace | 1.7 | ✅ | ❌ | ❌ | +| KeypointsDetection | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | +| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | +| Segmentation | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | +| Segmentation | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | +| Segmentation | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | +| Segmentation | Unet | 53.7 | ❌ | ✅ | ❌ | | OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ | | OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ | | OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | From 062ea2fbda8268d46fc0cb37abd4ae0cc9fe8501 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 10:34:05 +0000 Subject: [PATCH 12/14] [feature][docs] update README.md and logo --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index a1f1aaaf486..68f9a737502 100644 --- a/README.md +++ b/README.md @@ -37,8 +37,8 @@ 符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型 | 任务场景 | 模型 | API | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | -| -------------------- | ------------------ | ----------------- | ----------------- | ----------------- | ----------------- | ------------------------ | --------------------- | ------------------ | ------------------ | -| --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson | +| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | +| --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson | | Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Classification | [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Classification | [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | @@ -146,7 +146,7 @@ int main(int argc, char* argv[]) {
| 任务场景 | 模型 | 大小(MB) | 边缘端 | 移动端 | 移动端 | -| ------------------ | ---------------------------- | --------------------- | --------------------- | ---------------------- | --------------------- | +| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | | --- | --- | --- | Linux | Android | iOS | | --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | | Classification | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | From a1a96283f20515ce34fa5102746248a076749677 Mon Sep 17 00:00:00 2001 From: DefTruth Date: Mon, 15 Aug 2022 11:26:48 +0000 Subject: [PATCH 13/14] [feature][docs] update README.md and logo --- README.md | 37 +++++++++--------- docs/logo/fastdeploy-opaque.png | Bin 0 -> 147535 bytes ...y-logo.png => fastdeploy-transparency.png} | Bin 3 files changed, 19 insertions(+), 18 deletions(-) create mode 100644 docs/logo/fastdeploy-opaque.png rename docs/logo/{fastdeploy-logo.png => fastdeploy-transparency.png} (100%) diff --git a/README.md b/README.md index 68f9a737502..8046fe0cba9 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ -![⚡️FastDeploy](docs/logo/fastdeploy-logo.png) +![⚡️FastDeploy](docs/logo/fastdeploy-opaque.png)

@@ -16,12 +16,13 @@ **⚡️FastDeploy**是一款**简单易用**的推理部署工具箱。覆盖业界主流**优质预训练模型**并提供**开箱即用**的开发体验，包括图像分类、目标检测、图像分割、人脸检测、人体关键点识别、文字识别等多任务，满足开发者**多场景**，**多硬件**、**多平台**的快速部署需求。 -## 0. 发版历史 +## 发版历史 - [v0.2.0] 2022.08.18 全面开源服务端部署代码，支持40+视觉模型在CPU/GPU，以及通过TensorRT加速部署 -## 1. 内容目录 +## 内容目录 * [服务端模型列表](#fastdeploy-server-models) * [服务端快速开始](#fastdeploy-quick-start) + * [快速安装](#fastdeploy-quick-start) * [Python预测示例](#fastdeploy-quick-start-python) * [C++预测示例](#fastdeploy-quick-start-cpp) * [轻量化SDK快速实现端侧AI推理部署](#fastdeploy-edge-sdk) @@ -31,12 +32,12 @@ * [社区交流](#fastdeploy-community) * [Acknowledge](#fastdeploy-acknowledge) * [License](#fastdeploy-license) -## 2. 服务端模型列表 🔥🔥🔥 +## 1. 服务端模型列表 🔥🔥🔥

符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型 -| 任务场景 | 模型 | API | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | +| 任务场景 | 模型 | API | Linux | Linux | Windows | Windows | MacOS | MacOS | Linux | | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | | --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | NVIDIA Jetson | | Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | @@ -84,18 +85,18 @@ | Matting | [Contrib/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -## 3. 服务端快速开始 +## 2. 服务端快速开始
-💡 安装FastDeploy Python/C++ +💡 快速安装 FastDeploy Python/C++ 库 -用户根据开发环境选择安装版本，更多安装环境参考 [安装文档](docs/quick_start/install.md) . +用户根据自己的python版本选择安装对应的wheel包，详细的wheel目录请参考 [python安装文档](docs/compile/prebuilt_wheels.md) . ```bash pip install https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl ``` -或获取C++预编译库，更多可用的预编译库请参考[C++预编译库下载](docs/compile/prebuilt_libraries.md) +或获取C++预编译库，更多可用的预编译库请参考 [C++预编译库下载](docs/compile/prebuilt_libraries.md) ```bash wget https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-0.2.0.tgz ``` @@ -107,7 +108,7 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000 ```
-### 3.1 Python预测示例 +### 2.1 Python预测示例
```python @@ -122,7 +123,7 @@ print(result) vis_im = vision.vis_detection(im, result, score_threshold=0.5) cv2.imwrite("vis_image.jpg", vis_im) ``` -### 3.2 C++预测示例 +### 2.2 C++预测示例
```C++ @@ -142,7 +143,7 @@ int main(int argc, char* argv[]) { ``` 更多部署案例请参考[视觉模型部署示例](examples/vision) . -## 4. 轻量化SDK快速实现端侧AI推理部署 📱 +## 3. 轻量化SDK快速实现端侧AI推理部署 📱
| 任务场景 | 模型 | 大小(MB) | 边缘端 | 移动端 | 移动端 | @@ -184,7 +185,7 @@ int main(int argc, char* argv[]) { | OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | | OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ | -### 4.1 边缘侧部署 +### 3.1 边缘侧部署
- ARM Linux 系统 @@ -193,18 +194,18 @@ int main(int argc, char* argv[]) { - [Python Inference部署](./docs/ARM-Linux-Python-SDK-Inference.md) - [Python 服务化部署](./docs/ARM-Linux-Python-SDK-Serving.md) -### 4.2 移动端部署 +### 3.2 移动端部署
- [iOS 系统部署](./docs/iOS-SDK.md) - [Android 系统部署](./docs/Android-SDK.md) -### 4.3 自定义模型部署 +### 3.3 自定义模型部署
- [快速实现个性化模型替换](./docs/Replace-Model-With-Anther-One.md) -## 5. 社区交流 +## 4. 社区交流
- **加入社区👬：** 微信扫描二维码后，填写问卷加入交流群，与开发者共同讨论推理部署痛点问题 @@ -213,13 +214,13 @@ int main(int argc, char* argv[]) { -## 6. Acknowledge +## 5. Acknowledge
本项目中SDK生成和下载使用了[EasyEdge](https://ai.baidu.com/easyedge/app/openSource)中的免费开放能力，再次表示感谢。 -## 7. License +## 6. License
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a/docs/compile/prebuilt_libraries.md +++ b/docs/compile/prebuilt_libraries.md @@ -1,4 +1,4 @@ -# FastDeploy 预编编译 C++ 库 +# FastDeploy 预编译 C++ 库 FastDeploy提供了在Windows/Linux/Mac上的预先编译CPP部署库，开发者可以直接下载后使用，也可以自行编译代码。 diff --git a/docs/logo/fastdeploy-transparency.png b/docs/logo/fastdeploy-transparency.png deleted file mode 100644 index fe94ed2f5d781c19546bf05bc7b3643486ffd618..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 133793 zcmeFZXFQyJ)HTW&41yrh1yQ5-UWO>qi9|`15mBO-=yf6@q9sJHi6GHybVi8YqIaW5 zAH8!1ahK;gAI|&U`Eq{0e2NUNxn}RZ)?Rz<|0PgeRUQ|c92*4%1y|vo%zYFTf?^aD z)J_lv@)ZLQAr|C6sE+sLrBQM_DHl;tXiyYnq#n2$tc>Fp&zb0RBG%8^$xK~wG3yE* z25w~DMkO5ZuPCu%V{fUjh|Ai<;O52qFz|5MLinAcEBdTS3|U&$_04JZrT!J%jdY!7 z=;$#}*Lpqd)Neze_V!rEPRBtX550Ha^3RUM96N{2e3D8`adDCs_I#4MP8WyGYCX?X zt^t6c>oj0r6x84Gg}PMA7xlYXzvEJW-O_caK-_P-y~}H6f?*!rX z&$ns1)3H-;|4t;*bj#uYo(Nvv75FA9RNx`$P1@g?9jJi&?*t+64@Lf-68b}tzlkpX zP~>l-i$4_ko5=hRMgF14|I~B;sL0=h#6K$X_aG6eOaG|I-x10`gZ6I{D}N~R4@Lf8 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