Add PP-ModNet and PP-HumanMatting Support #240
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| Original file line number | Diff line number | Diff line change |
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| // 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. | ||
|
|
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| #include "fastdeploy/vision/common/processors/limit_long.h" | ||
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| namespace fastdeploy { | ||
| namespace vision { | ||
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| bool LimitLong::CpuRun(Mat* mat) { | ||
| cv::Mat* im = mat->GetCpuMat(); | ||
| int origin_w = im->cols; | ||
| int origin_h = im->rows; | ||
| int im_size_max = std::max(origin_w, origin_h); | ||
| int target = im_size_max; | ||
| if (max_long_ > 0 && im_size_max > max_long_) { | ||
| target = max_long_; | ||
| } else if (min_long_ > 0 && im_size_max < min_long_) { | ||
| target = min_long_; | ||
| } | ||
| if (target != im_size_max) { | ||
| double scale = | ||
| static_cast<double>(target) / static_cast<double>(im_size_max); | ||
| cv::resize(*im, *im, cv::Size(), scale, scale, interp_); | ||
| mat->SetWidth(im->cols); | ||
| mat->SetHeight(im->rows); | ||
| } | ||
| return true; | ||
| } | ||
|
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| #ifdef ENABLE_OPENCV_CUDA | ||
| bool LimitLong::GpuRun(Mat* mat) { | ||
| cv::cuda::GpuMat* im = mat->GetGpuMat(); | ||
| int origin_w = im->cols; | ||
| int origin_h = im->rows; | ||
| im->convertTo(*im, CV_32FC(im->channels())); | ||
| int im_size_max = std::min(origin_w, origin_h); | ||
| int target = im_size_max; | ||
| if (max_long_ > 0 && im_size_max > max_long_) { | ||
| target = max_long_; | ||
| } else if (min_long_ > 0 && im_size_max < min_long_) { | ||
| target = min_long_; | ||
| } | ||
| if (target != im_size_max) { | ||
| double scale = | ||
| static_cast<double>(target) / static_cast<double>(im_size_max); | ||
| cv::cuda::resize(*im, *im, cv::Size(), scale, scale, interp_); | ||
| mat->SetWidth(im->cols); | ||
| mat->SetHeight(im->rows); | ||
| } | ||
| return true; | ||
| } | ||
| #endif | ||
|
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| bool LimitLong::Run(Mat* mat, int max_long, int min_long, ProcLib lib) { | ||
| auto l = LimitLong(max_long, min_long); | ||
| return l(mat, lib); | ||
| } | ||
| } // namespace vision | ||
| } // namespace fastdeploy | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| // 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. | ||
|
|
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| #pragma once | ||
|
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| #include "fastdeploy/vision/common/processors/base.h" | ||
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| namespace fastdeploy { | ||
| namespace vision { | ||
|
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| class LimitLong : public Processor { | ||
| public: | ||
| explicit LimitLong(int max_long = -1, int min_long = -1, int interp = 1) { | ||
| max_long_ = max_long; | ||
| min_long_ = min_long; | ||
| interp_ = interp; | ||
| } | ||
| bool CpuRun(Mat* mat); | ||
| #ifdef ENABLE_OPENCV_CUDA | ||
| bool GpuRun(Mat* mat); | ||
| #endif | ||
| std::string Name() { return "LimitLong"; } | ||
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| static bool Run(Mat* mat, int max_long = -1, int min_long = -1, | ||
| ProcLib lib = ProcLib::OPENCV_CPU); | ||
| int GetMaxLong() { return max_long_; } | ||
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| private: | ||
| int max_long_; | ||
| int min_long_; | ||
| int interp_; | ||
| }; | ||
| } // namespace vision | ||
| } // namespace fastdeploy | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| // 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. | ||
|
|
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| #include "fastdeploy/vision/common/processors/resize_by_input_shape.h" | ||
|
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| namespace fastdeploy { | ||
| namespace vision { | ||
|
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| bool ResizeByInputShape::CpuRun(Mat* mat) { | ||
|
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| if (mat->layout != Layout::HWC) { | ||
| FDERROR << "ResizeByInputShape: The format of input is not HWC." | ||
| << std::endl; | ||
| return false; | ||
| } | ||
| cv::Mat* im = mat->GetCpuMat(); | ||
| int origin_w = im->cols; | ||
| int origin_h = im->rows; | ||
| float scale_w = width_ * 1.0 / origin_w; | ||
| float scale_h = height_ * 1.0 / origin_h; | ||
| float scale = std::min(scale_w, scale_h); | ||
| cv::resize(*im, *im, cv::Size(0, 0), scale, scale, interp_); | ||
| mat->SetWidth(im->cols); | ||
| mat->SetHeight(im->rows); | ||
| return true; | ||
| } | ||
|
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| #ifdef ENABLE_OPENCV_CUDA | ||
| bool ResizeByInputShape::GpuRun(Mat* mat) { | ||
| if (mat->layout != Layout::HWC) { | ||
| FDERROR << "ResizeByInputShape: The format of input is not HWC." | ||
| << std::endl; | ||
| return false; | ||
| } | ||
| cv::cuda::GpuMat* im = mat->GetGpuMat(); | ||
| int origin_w = im->cols; | ||
| int origin_h = im->rows; | ||
| float scale_w = width_ * 1.0 / origin_w; | ||
| float scale_h = height_ * 1.0 / origin_h; | ||
| float scale = std::min(scale_w, scale_h); | ||
| cv::cuda::resize(*im, *im, cv::Size(0, 0), scale, scale, interp_); | ||
| mat->SetWidth(im->cols); | ||
| mat->SetHeight(im->rows); | ||
| return true; | ||
| } | ||
| #endif | ||
|
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| bool ResizeByInputShape::Run(Mat* mat, int width, int height, int interp, | ||
| ProcLib lib) { | ||
| if (mat->Height() == height && mat->Width() == width) { | ||
| return true; | ||
| } | ||
| auto r = ResizeByInputShape(width, height, interp); | ||
| return r(mat, lib); | ||
| } | ||
|
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| } // namespace vision | ||
| } // namespace fastdeploy | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| // 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. | ||
|
|
||
| #pragma once | ||
|
|
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| #include "fastdeploy/vision/common/processors/base.h" | ||
|
|
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| namespace fastdeploy { | ||
| namespace vision { | ||
|
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| class ResizeByInputShape : public Processor { | ||
|
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| public: | ||
| ResizeByInputShape(int width, int height, int interp = 1) { | ||
|
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| width_ = width; | ||
| height_ = height; | ||
| interp_ = interp; | ||
| } | ||
|
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| bool CpuRun(Mat* mat); | ||
| #ifdef ENABLE_OPENCV_CUDA | ||
| bool GpuRun(Mat* mat); | ||
| #endif | ||
| std::string Name() { return "ResizeByInputShape"; } | ||
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| static bool Run(Mat* mat, int width, int height, int interp = 1, | ||
| ProcLib lib = ProcLib::OPENCV_CPU); | ||
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| private: | ||
| int width_; | ||
| int height_; | ||
| int interp_ = 1; | ||
| }; | ||
| } // namespace vision | ||
| } // namespace fastdeploy | ||
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这里的逻辑和CpuRun不一致，这里用了
std::min(), 是不是用错了？