Add pil backend for vision transforms by LielinJiang · Pull Request #28035 · PaddlePaddle/Paddle

LielinJiang · 2020-10-16T15:26:28Z

PR types

New features

PR changes

APIs

Describe

添加了pil处理图片的后端
添加了参数keys，便于后续将这些算子扩展到其余组件

文档地址：http://gzhxy-inf-bce36a39de.gzhxy.baidu.com:8121/documentation/docs/en/api/paddle/vision/BaseTransform_en.html

paddle-bot-old · 2020-10-16T15:26:41Z

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

saxon-zh

LGTM

saxon-zh

LGTM

qingqing01 · 2020-10-19T02:11:08Z

python/paddle/tests/test_transforms.py

@@ -18,14 +18,21 @@
 import cv2


lazy import cv2 here

感谢提醒，在functional中改为了lazy_import，这个是单测，无需lazy_import。

qingqing01 · 2020-10-19T02:18:23Z

python/paddle/vision/transforms/functional.py

-    Accordding to the code (the type of flip), flip the input image
+
+def _is_numpy_image(img):
+    return isinstance(img, np.ndarray) and (img.ndim in {2, 3})


Maybe add note, not process the 4D image

done, thanks

qingqing01 · 2020-10-19T02:21:04Z

python/paddle/vision/transforms/functional.py

-            0 : Flip vertically
-            1 : Flip horizontally
+        pic (PIL.Image|np.ndarray): Image to be converted to tensor.
+        data_format (str, optional): Data format of img, should be 'HWC' or 


the comments of data_format need more clearly for input image or returned image :

"Data format of returned image, ... "

done, thanks

qingqing01 · 2020-10-19T02:42:08Z

python/paddle/vision/transforms/transforms.py


-    def __init__(self, transforms=[]):
-        self.transforms = transforms
+    def __init__(self, keys=None, backend='pil'):


有个全局的切换接口觉得更易用，而不是每个接口都加backend, functional的实现有同样的问题

XiaoguangHu01 · 2020-10-19T02:25:42Z

python/paddle/tests/test_transforms.py

@@ -18,14 +18,21 @@
 import cv2


paddle默认不安装cv2的话，这里的cv2依赖哪个特定的版本呢？
import失败的时候，需要提示用户手动安装特定的cv2版本。

感谢提醒，在functional中改为了lazy_import，这个是单测，无需lazy_import。默认还是让用户使用最新版本的opencv。

XiaoguangHu01 · 2020-10-19T02:27:50Z

python/paddle/tests/test_transforms.py

+
+class TestTransformsCV2(unittest.TestCase):
    def setUp(self):
+        self.backend = self.set_backend()


get_backend

done, thanks

XiaoguangHu01 · 2020-10-19T02:28:06Z

python/paddle/tests/test_transforms.py

                        (400, 300, 3)) * 255).astype('uint8')
                cv2.imwrite(os.path.join(sub_dir, str(j) + '.jpg'), fake_img)

+    def set_backend(self):


get_backend

done, thanks

XiaoguangHu01 · 2020-10-19T02:40:59Z

python/paddle/tests/test_transforms.py

+
+
+class TestTransformsPIL(TestTransformsCV2):
+    def set_backend(self):


get_backend

done, thanks

XiaoguangHu01 · 2020-10-19T02:49:47Z

python/paddle/vision/transforms/functional.py


-@keepdims
-def resize(img, size, interpolation=1):
+def resize(img, size, interpolation='bilinear', backend='pil'):


这里的backend='pil'，建议增加backend状态，可以简化backend切换的过程，比如：
默认设置为backend=None，表示采用缺省设置，然后增加
transforms.set_default_backend(backend)
transforms.get_default_backend()
transforms._defaut_backend = 'pil'
这样的话，用户在可以避免大量手动切换代码，比如：
resize(..., backend=self.backend)

qingqing01

LGTM

qingqing01 · 2020-10-19T09:15:28Z

python/paddle/vision/transforms/transforms.py

+            # try:
+            data = f(data)
+            if data is None:
+                print('deubgggggggg:', f)


clean debug code

done, thanks

qingqing01 · 2020-10-19T09:31:15Z

python/paddle/vision/transforms/transforms.py

+    In the other cases, tensors are returned without scaling.
+
+    Args:
+        size (int|list|tuple): Desired output size. If size is a sequence like


to_tensor的init和call函数都没有size参数

updated, thanks

qingqing01 · 2020-10-19T09:46:52Z

python/paddle/vision/transforms/functional_pil.py

+    Pads the given PIL.Image on all sides with specified padding mode and fill value.
+
+    Args:
+        img (PIL.Image|np.array): Image to be padded.


下面实现支持np.array吗？

已经更新，functional_pil.py，functional_cv.py，functonal_tensor.pil还不暴露给用户。暂时可以先关注functional.py中的注释和示例

qingqing01 · 2020-10-19T09:47:32Z

python/paddle/vision/transforms/functional_pil.py

+            img = np.pad(img, ((pad_top, pad_bottom), (pad_left, pad_right)),
+                         padding_mode)
+
+        return Image.fromarray(img)


从实现来看，不支持np.array的输入，注意上面的comments是否正确

已经更新，functional_pil.py，functional_cv.py，functonal_tensor.pil还不暴露给用户。暂时可以先关注functional.py中的注释和示例

LielinJiang · 2020-10-19T10:28:22Z

经过讨论，backend参数实际上只起到double check的作用，如果用户传入的图片类型和backend不符就直接报错了，而且这样的check也会降低性能。最后决定去除backend参数，根据用户传入的图片类型，调用相应backend的算子。同时，在读取图片的地方，增加了set_image_backend和get_image_backend函数，来控制想要的图片类型。

qingqing01

LGTM.

utils.py may change to image.py or image_io.py

LielinJiang · 2020-10-19T16:05:30Z

LGTM.

utils.py may change to image.py or image_io.py

done, thanks

XiaoguangHu01

LGTM

saxon-zh

LGTM

jzhang533 · 2020-10-20T03:16:04Z

python/paddle/vision/image.py

+        return Image.open(path)
+    else:
+        cv2 = try_import('cv2')
+        return cv2.imread(path)


这段代码可以重新组织下，比如：

if backend == 'pil': ... elif backend == 'cv2': ... else raise ValueError

嗯嗯，这个后续修改一下。目前来看并不影响

jzhang533 · 2020-10-20T03:19:36Z

python/paddle/vision/transforms/functional.py

+def to_tensor(pic, data_format='CHW'):
+    """Converts a ``PIL.Image`` or ``numpy.ndarray`` to paddle.Tensor.
+
+    See ``ToTensor`` for more details.


最好写ToTensor的全路径

好的，文档会在下个pr优化一下

jzhang533 · 2020-10-20T03:27:02Z

python/paddle/vision/transforms/functional.py

+    if _is_pil_image(pic):
+        return F_pil.to_tensor(pic, data_format)
+    else:
+        return F_cv2.to_tensor(pic, data_format)


从np array转成tensor的功能是放在了functional_cv2.py 下呀。

是的，都是从input的数据类型来区分的

jzhang533 · 2020-10-20T03:42:16Z

python/paddle/vision/transforms/functional.py

+    if _is_pil_image(img):
+        return F_pil.pad(img, padding, fill, padding_mode)
+    else:
+        return F_cv2.pad(img, padding, fill, padding_mode)


这里的逻辑（及其他类似的对F_cv2 的调用逻辑），有些问题。
用户设置的backend是pillow的时候，传入的img是np array时，走到了lazy import cv2的分支里。

@XiaoguangHu01 @saxon-zh
麻烦看看这个问题，是否要改。

线下讨论解决

LielinJiang added 2 commits October 16, 2020 14:58

add pil backend

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update comment

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LielinJiang requested a review from qingqing01 October 16, 2020 15:26

LielinJiang added 4 commits October 17, 2020 00:57

fix errors

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add example codes

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fix py2

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fix unittest

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fix docs

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LielinJiang added 4 commits October 18, 2020 08:30

fix docs, test=document_fix

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fix docs, test=document_fix

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fix docs, test=document_fix

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fix docs, test=document_fix

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LielinJiang requested review from XiaoguangHu01 and saxon-zh October 18, 2020 10:11

fix docs, test=document_fix

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fix docs, test=document_fix

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LielinJiang dismissed saxon-zh’s stale review via 2ea1485 October 18, 2020 14:05

LielinJiang requested a review from saxon-zh October 19, 2020 01:46

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XiaoguangHu01 reviewed Oct 19, 2020

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refine code

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LielinJiang added 2 commits October 19, 2020 10:15

clean code, fix coverage

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update comment

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LielinJiang added 4 commits October 19, 2020 11:37

add set_backend get_backend

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add set_backend get_backend

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fix sample code

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add set_backend get_backend

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LielinJiang requested review from XiaoguangHu01, qingqing01 and saxon-zh October 19, 2020 12:22

LielinJiang added 3 commits October 19, 2020 13:02

fix sample code

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fix unittest

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add image load

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LielinJiang requested a review from jzhang533 October 19, 2020 15:39

change utils to image

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LielinJiang dismissed qingqing01’s stale review via 2eb23f0 October 19, 2020 16:05

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LielinJiang requested a review from raindrops2sea October 20, 2020 05:14

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LielinJiang merged commit 74c8a81 into PaddlePaddle:develop Oct 20, 2020

LielinJiang mentioned this pull request Oct 20, 2020

[cherry-pick] Add pil backend for transforms api #28132

Merged



		class TestTransformsPIL(TestTransformsCV2):
		def set_backend(self):

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LielinJiang commented Oct 19, 2020

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LielinJiang commented Oct 16, 2020 •

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