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03.image_classification/README.en.md

@@ -491,7 +491,13 @@ def load_image(file):
     im = Image.open(file)
     im = im.resize((32, 32), Image.ANTIALIAS)
     im = np.array(im).astype(np.float32)
+    # The storage order of the loaded image is W(widht),
+    # 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.flatten()
     im = im / 255.0

03.image_classification/README.md

@@ -483,7 +483,11 @@ def load_image(file):
     im = Image.open(file)
     im = im.resize((32, 32), Image.ANTIALIAS)
     im = np.array(im).astype(np.float32)
+    # PIL打开图片存储顺序为H(高度)，W(宽度)，C(通道)。
+    # PaddlePaddle要求数据顺序为CHW，所以需要转换顺序。
     im = im.transpose((2, 0, 1)) # CHW
+    # CIFAR训练图片通道顺序为B(蓝),G(绿),R(红),
+    # 而PIL打开图片默认通道顺序为RGB,因为需要交换通道。
     im = im[(2, 1, 0),:,:] # BGR
     im = im.flatten()
     im = im / 255.0

03.image_classification/index.en.html

@@ -533,7 +533,13 @@ def load_image(file):
     im = Image.open(file)
     im = im.resize((32, 32), Image.ANTIALIAS)
     im = np.array(im).astype(np.float32)
+    # The storage order of the loaded image is W(widht),
+    # 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.flatten()
     im = im / 255.0

03.image_classification/index.html

@@ -525,7 +525,11 @@ def load_image(file):
     im = Image.open(file)
     im = im.resize((32, 32), Image.ANTIALIAS)
     im = np.array(im).astype(np.float32)
+    # PIL打开图片存储顺序为H(高度)，W(宽度)，C(通道)。
+    # PaddlePaddle要求数据顺序为CHW，所以需要转换顺序。
     im = im.transpose((2, 0, 1)) # CHW
+    # CIFAR训练图片通道顺序为B(蓝),G(绿),R(红),
+    # 而PIL打开图片默认通道顺序为RGB,因为需要交换通道。
     im = im[(2, 1, 0),:,:] # BGR
     im = im.flatten()
     im = im / 255.0

03.image_classification/train.py

@@ -98,7 +98,13 @@ def main():
         im = Image.open(file)
         im = im.resize((32, 32), Image.ANTIALIAS)
         im = np.array(im).astype(np.float32)
+        # The storage order of the loaded image is W(widht),
+        # 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.flatten()
         im = im / 255.0