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コードを追記しました．
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@@ -29,3 +29,131 @@
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何かこの問題を解決するためのアイデア等があるかた，よろしくお願いします．
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追加情報が必要な方は，返信しますのでコメントをお願いします．
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```python
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#準備
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model = load_model('cnn_model.h5')
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print(model.summary())
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data = img_to_array(load_img('./input/cat10007.jpg', target_size=(480,640)))
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#backend動作
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layer_name = 'max_pooling3d_4'
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last_conv = model.get_layer(layer_name)
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data_output = model.output[:,0]
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grads = K.gradients(data_output, last_conv.output)[0]
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pooled_grads = K.mean(grads, axis=(0,1,2)
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iterate = K.function([model.input],
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[pooled_grads, last_conv.output[0]])
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#Main
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pooled_grads_val,conv_output_val = iterate([data])
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for i in range(pooled_grads_val.shape[0]):
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conv_output_val[:,:,i] *= pooled_grads_val[i]
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heatmap = np.mean(conv_output_val,axis=-1)
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print(heatmap.shape) #(46,64)
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#ヒートマップの後処理
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heatmap = np.maximum(heatmap,0)
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heatmap /= np.max(heatmap)
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#####################
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heatmap = cv2.resize(heatmap,(640,480))
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heatmap = np.uint8(255 * heatmap)
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#動画にヒートマップを適用していく．
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image0 = cv2.applyColorMap(heatmap,cv2.COLORMAP_JET)
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plt.imshow(image0)
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plt.show()
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frame = '元のイメージ' #入力画像
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superimposed_img = frame + 0.6*image0
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#superimposed_img = cv2.addWeighted(frame,0.7, image0, 0.3, 0)
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plt.imshow(superimposed_img)
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plt.imshow(image0)
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plt.show()
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```
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