Update:
I trained another model, using images of size: 960x540. (And changed my spec files as well)
This model also generates good results when running tlt-infer on my test images, but in this case it’s detecting nothing in the video when converted and deployed in the Jetson. (I have tried with different videos and the same result)
So everything keeps pointing to the size of the training images, or the network, but still can´t find what it is.
Is there a relationship or limits I should know about?
Please note that the full app contains other functionalities like saving images to AWS, save in a Database, but all tests and aids that you’ve given me have been tested apart to discard the error is related to them.
Also, executing .py script as it is, will lead to errors, since AWS credentials have been deleted in the repository.
If you need any further explanation on any step, feel free to ask away!
Please, has anyone take a look at this?
I had to change strategy it’s been months since I heard from anyone. Any ideas? Is it a bug or am I doing something wrong?