InvalidArgumentError: slice index 5 of dimension 0 out of bounds. [Op:StridedSlice] name: strided_slice/

Question

我正在做一个关于图像分类的项目。这里我有 30 张图像，当我尝试绘制这些图像时，出现以下错误，

InvalidArgumentError: slice index 5 of dimension 0 out of bounds.
[Op:StridedSlice] name: strided_slice/

下面是我的代码：

BATCH_SIZE = 5
IMAGE_SIZE = 256
CHANNELS=3  
EPOCHS=10

train_ds = tf.keras.utils.image_dataset_from_directory(
path_to_data,
validation_split=0.2,
subset="training",
seed=123,
image_size=(IMAGE_SIZE, IMAGE_SIZE),
batch_size=BATCH_SIZE)

val_ds = tf.keras.utils.image_dataset_from_directory(
path_to_data,
validation_split=0.2,
subset="validation",
seed=123,
image_size=(IMAGE_SIZE, IMAGE_SIZE),
batch_size=BATCH_SIZE)

for image_batch, labels_batch in train_ds:
print(image_batch.shape)
print(labels_batch.shape)
break

plt.figure(figsize=(10, 10))
for images, labels in train_ds.take(1):
   for i in range(9):
       ax = plt.subplot(3, 3, i + 1)
       plt.imshow(images[i].numpy().astype('uint8'))
       plt.title(class_names[labels[i]])
       plt.axis("off")

错误：

InvalidArgumentError: slice index 5 of dimension 0 out of bounds. [Op:StridedSlice] 
name: strided_slice/

回溯：

InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-74-385157730873> in <module>()
  5   for i in range(9):
  6     ax = plt.subplot(3, 3, i + 1)
----> 7     plt.imshow(images[i].numpy().astype('uint8'))
  8     plt.title(class_names[labels[i]])
  9     plt.axis("off")

Answer 1

问题是您正在使用 train_ds.take(1) 从您的数据集中取出一批，其中有 BATCH_SIZE = 5。如果您想在 3x3 图中显示 9 张图像，只需将 BATCH_SIZE 更改为 9。或者，您可以像这样调整要创建的 subplots 的数量：

BATCH_SIZE = 5
plt.figure(figsize=(10, 10))
for images, labels in train_ds.take(1):
   for i in range(BATCH_SIZE):
       ax = plt.subplot(1, 5, i + 1)
       plt.imshow(images[i].numpy().astype('uint8'))
       plt.title(class_names[labels[i]])
       plt.axis("off")

InvalidArgumentError: slice index 5 of dimension 0 out of bounds. [Op:StridedSlice] name: strided_slice/

InvalidArgumentError: slice index 5 of dimension 0 out of bounds. [Op:StridedSlice] name: strided_slice/

python-3.x

keras

tensorflow

tensorflow-datasets

tensorflow2.0