在我的数据中,代码已经分隔了文件名(string和number/cat.1500)。因此,在给出图片编号后,代码将自动区分狗或猫
我有1500张猫的图片,范围从(猫1到猫12294)
img_id = 3000
cat_generator = train_datagen.flow(train_imgs[img_id:img_id+1], train_labels[img_id:img_id+1],
batch_size=1)
cat = [next(cat_generator) for i in range(0,5)]
fig, ax = plt.subplots(1,5, figsize=(16, 6)
print('Labels:', [item[1][0] for item in cat])
l = [ax[i].imshow(cat[i][0][0]) for i in range(0,5)]
上面的代码只适用于2999以下的数字。 当我得到下面的错误时,我应该如何得到上面的3000:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-229-dc867a5e35bd> in <module>
5 cat = [next(cat_generator) for i in range(0,6)]
6 fig, ax = plt.subplots(1,5, figsize=(16, 6))
----> 7 print('Labels:', [item[1][0] for item in cat])
8 l = [ax[i].imshow(cat[i][0][0]) for i in range(0,6)]
9
<ipython-input-229-dc867a5e35bd> in <listcomp>(.0)
5 cat = [next(cat_generator) for i in range(0,6)]
6 fig, ax = plt.subplots(1,5, figsize=(16, 6))
----> 7 print('Labels:', [item[1][0] for item in cat])
8 l = [ax[i].imshow(cat[i][0][0]) for i in range(0,6)]
9
IndexError: index 0 is out of bounds for axis 0 with size 0
目前没有回答
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