DrSleep / DenseTorch

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
MIT License
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What return and combine layers for single head models? #15

Open Dheeru66k opened 1 year ago

Dheeru66k commented 1 year ago

I am looking at your documentation of your model parameters like return and combine layers for MTLRefinenet+mobilenet v2 . https://github.com/DrSleep/DenseTorch/blob/dev/docs/Models.md You have mentioned as below image

But if train a single head like "segm" alone or "depth" alone, what should be the return and combine layers for mobilenet+lwrefinenet. Looking for your support.

I also have other issue, when i load my model trained checkpoints, its says some keys are missing, should i also have to load optimizer state_dict?