deep-vision
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Hourglass demo: fix MPII record generation
Also set a default of 5 for epochs as it crashed otherwise.
I'm not sure how the hourglass demo ran previously, but these were needed for me to have valid tfrecords with all the data needed. This is using TF 2.3.1.
I have not run a model for a long time to confirm it converges to a good value, though. What are the units on the loss and what I should expect?
Thanks for the PR. I didn't have time to fully test this part, and i do remember I added these extra values like scale
in my other MPII implementation so I think this is indeed a necessary change.
i don't really remember the scale of a good loss tbh, but you could rely on a PCKh metrics to understand how good your model is. The loss can't reflect the real accuracy of pose estimation.