how to predict with .meta and checkpoint files in tensorflow?

Question

I\'m learning about MobileNet thesedays and i\'m new to tensorflow. After training with ssd-mobilenet model,i got checkpoint file , .meta file , graph.pbtxt file and so on.

Answer 1

Just for those who have the problem like wu ruize and CoupDeMistral:

But I got this error: "The name 'image_tensor:0' refers to a Tensor which does not exist. The operation, 'image_tensor', does not exist in the graph."

You need to name your tensor first before using detection_graph.get_tensor_by_name.

For example, something like this:

accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32),name='accuracy')

Notice that the tensor above has been named as 'accuracy'.

After that you can enjoy the restore operation by:

detection_graph.get_tensor_by_name('accuracy:0')

Have fun now :P!