tensorflow处理图片时的维度不匹配问题，如下是报错信息
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape must be rank 4 but is rank 3 for 'Conv2D' (op: 'Conv2D') with input shapes: [1,1,3], [5,5,3,32].
源码如下所示:
train_data_node=tf.placeholder(tf.float32,shape=(None,IMG_PATCH_SIZE,IMG_PATCH_SIZE,NUM_CHANNEL))
train_label_node=tf.placeholder(tf.float32,shape=(BATCH_SIZE,NUM_LABEL))
train_all_data_node=tf.constant(train_data)
def extract_data():
imgs=[]
data_list=[]
training_size, img_train_array,img_train_map_array= read_train_from_txt_file(train_txt_filename)
for i in range(0,training_size):
image_filename = img_train_array[i]
if os.path.isfile(image_filename):
print('Loading:'+ image_filename)
img_file = cv.imread(image_filename)
img_file=np.array(img_file)
imgs.append(img_file)
else:
print('File' + image_filename + 'does not exist!')
num_img = len(imgs)
for j in range(num_img):
img_patches = img_crop(imgs[j])
for k in range(len(img_patches)):
for m in range(len(img_patches[k])):
data=img_patches[k][m]
data_list.append(data)
data_list=np.asarray(data_list)
data_list=np.float32(data_list)
# return np.asarray(data)
return data_list
新手一个，求帮助!!!!!
