remove the part we need to change the color channel order

03.image_classification/README.cn.md

@@ -480,10 +480,6 @@ def load_image(file):
     # H(height), C(channel). PaddlePaddle requires
     # the CHW order, so transpose them.
     im = im.transpose((2, 0, 1))  # CHW
-    # In the training phase, the channel order of CIFAR
-    # image is B(Blue), G(green), R(Red). But PIL open
-    # image in RGB mode. It must swap the channel order.
-    im = im[(2, 1, 0), :, :]  # BGR
     im = im / 255.0
 
     # Add one dimension to mimic the list format.

03.image_classification/README.md

@@ -494,10 +494,6 @@ def load_image(file):
     # H(height), C(channel). PaddlePaddle requires
     # the CHW order, so transpose them.
     im = im.transpose((2, 0, 1))  # CHW
-    # In the training phase, the channel order of CIFAR
-    # image is B(Blue), G(green), R(Red). But PIL open
-    # image in RGB mode. It must swap the channel order.
-    im = im[(2, 1, 0), :, :]  # BGR
     im = im / 255.0
 
     # Add one dimension to mimic the list format.

03.image_classification/index.cn.html

@@ -522,10 +522,6 @@ def load_image(file):
     # H(height), C(channel). PaddlePaddle requires
     # the CHW order, so transpose them.
     im = im.transpose((2, 0, 1))  # CHW
-    # In the training phase, the channel order of CIFAR
-    # image is B(Blue), G(green), R(Red). But PIL open
-    # image in RGB mode. It must swap the channel order.
-    im = im[(2, 1, 0), :, :]  # BGR
     im = im / 255.0
 
     # Add one dimension to mimic the list format.

03.image_classification/index.html

@@ -536,10 +536,6 @@ def load_image(file):
     # H(height), C(channel). PaddlePaddle requires
     # the CHW order, so transpose them.
     im = im.transpose((2, 0, 1))  # CHW
-    # In the training phase, the channel order of CIFAR
-    # image is B(Blue), G(green), R(Red). But PIL open
-    # image in RGB mode. It must swap the channel order.
-    im = im[(2, 1, 0), :, :]  # BGR
     im = im / 255.0
 
     # Add one dimension to mimic the list format.

03.image_classification/train.py

@@ -106,10 +106,6 @@ def infer(use_cuda, inference_program, params_dirname=None):
         # H(height), C(channel). PaddlePaddle requires
         # the CHW order, so transpose them.
         im = im.transpose((2, 0, 1))  # CHW
-        # In the training phase, the channel order of CIFAR
-        # image is B(Blue), G(green), R(Red). But PIL open
-        # image in RGB mode. It must swap the channel order.
-        im = im[(2, 1, 0), :, :]  # BGR
         im = im / 255.0
 
         # Add one dimension to mimic the list format.