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README.md

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@@ -11,7 +11,11 @@ The initial objectives:
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- [x] Low level blocks / helpers (SeparableConv, create_pool2d (same padding), etc)
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- [x] PyTorch implementation of BiFPN, BoxNet, ClassNet modules and related submodules
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- [x] Port Tensorflow checkpoints to PyTorch -- initial D1 checkpoint converted, state_dict loaded, on to validation....
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- [ ] Basic MS COCO validation script
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- [x] Basic MS COCO validation script
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- [x] Temporary (hacky) COCO dataset and transform
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- [x] Port reference TF anchor and object detection code
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- [x] Verify model output sanity (definitely signs of life with some valid predictions, has issues, likely alignment/padding/missed activation)
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- [ ] Integrate MSCOCO eval metric calcs
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- [ ] Lots of cleanup, testing
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Possible future directions:

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