How to use GCP vision trained model in Object Detection API
You need to save the model in the local drive from the cloud and load this model into the object detection api, the function load_model usually downloads pre-trained model from URL, you need to give the path of the local saved model here. The API that you are looking for is tf.saved_model.load, also update the path for labels correctly in PATH_TO_LABELS.
I trained a object detection model through vision in GCP, How can i use that model in normal tensorflow object detection api provided by google in GitHub?
It gives 3 options for exporting the model which one to use & how?