Thanks for that.
This is exactly the problem. I have tried mo_tf.py before, and it yells that:
Cannot load input model: TensorFlow cannot read the model file: "saved_model.pb" is incorrect TensorFlow model file.
The file should contain one of the following TensorFlow graphs:
1. frozen graph in text or binary format
2. inference graph for freezing with checkpoint (--input_checkpoint) in text or binary format
3. meta graph
I am looking for a reliable guide to create frozen graph from TF2 model. Do you think it's worth opening a new thread with "Converting TF2 model to frozen graph" will help draw attention of someone know knows?
While I'm trying to make that example to work with my set of images, I cannot ignore, that training MobileNetV2, from scratch, in TF2 takes roughly 7 times less time (same GPU), than following the steps from the example about (ie using pre-trained model) and the end results (detection confidence) is higher as well.
I must mention that I run stuff on my local PC, as the data I'm using is classified company information, so I have no permission to upload it.
Additionally, I fully acknowledge the limited amount of experience with AI stuff I've got, and I simply can't find good info online. That's why I need some help over here.