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How to fine-tunning your pretrained cooco model? #23
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All you need to do is add |
I just saw your another post. The size match happens in the convolution layers for To prepare the model for fine-tuning on a different datasets, you can do the followings.
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Hi heilaw, class model(kp): |
The number of downsamplings in each hourglass module. |
Hi heilaw, |
How to fine tune your dataset on your trained coco model?
Could you provide the json file for fine-tunning params and update the load_pretrained_params() function in file : ./nnet/py_factory.py?
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