@Tamuel Hi,Tamuel, I try to run the code but something went wrong.
Just like the title , the Spyder positioned it in the following :
logits = segmentation.network(inputs=input_image, is_training=False) --prediction.py
decoded = slim_decoder(... output_depth=256) --lane_segmentator.segmentation.network
net = depthwise_conv2d_layer(inputs, 3) --tf_module.slim_decoder
output = depthwise_conv2d(inputs, kernel, bias, strides, padding, dilations, to_batch_norm, batch_norm_decay,is_training, activation_fn, name='conv') --tf_util.depthwise_conv2d_layer
output = tf.nn.depthwise_conv2d(
input=inputs,
filter=filters,
strides=strides,
padding=padding,
rate=dilations,
name=name
) --tf_util.depthwise_conv2d

I convert each frame of the original video into an image.The datafile is：

I did this for the first time.Could you please tell me what I missed?