回答編集履歴
2
指摘を受けて修正
answer
CHANGED
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@@ -40,7 +40,7 @@
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40
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x = numpy.array(img, dtype=numpy.float32)
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x = x / 255.
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x = x[None, ...]
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-
print(
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+
print(x.shape)
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# (1, 28, 28, 3)
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# RGBScaleで読み込んだためchannelが3になっていますね
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x = numpy.reshape(x, [28,28,1])
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@@ -54,9 +54,9 @@
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filepath = "/Users/atg/work/python/tensorflow/jupyter/mnist_test_data/img_1.jpg"
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img = Image.open(filepath).convert('L') ## Gray->L, RGB->RGB
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x = numpy.array(img, dtype=numpy.float32)
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-
x =
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+
x = x.reshape((28, 28, 1))
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x = x / 255.
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x = x[None, ...]
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-
print(
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+
print(x.shape)
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# (1, 28, 28, 1)
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```
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1
日本語がおかしい部分を修正
answer
CHANGED
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@@ -29,7 +29,7 @@
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input_shape=input_shape))
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```
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32
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-
予測時
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32
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+
予測時の画像の前処理のコードにコメントをつけてみました。
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```python
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# predict
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filepath = "/Users/atg/work/python/tensorflow/jupyter/mnist_test_data/img_1.jpg"
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