[Feature] Add detection distill algorithm LAD #436
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pppppM
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| | Teacher | Student | Training schedule | AP (val) | Config | Download | | ||
| | :-----: | :-----: | :---------------: | :------: | :----------: | :----------------------: | | ||
| | -- | R-50 | 1x | 40.4 | [config](<>) | [model](<>) \| [log](<>) | |
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Maybe can add the paths of config, model and log for the two baselines from MMClassification.
| | -- | R-50 | 1x | 40.4 | [config](<>) | [model](<>) \| [log](<>) | | ||
| | -- | R-101 | 1x | 42.6 | [config](<>) | [model](<>) \| [log](<>) | | ||
| | R-101 | R-50 | 1x | 41.4 | [config](<>) | [model](<>) \| [log](<>) | | ||
| | R-50 | R-101 | 1x | 43.2 | [config](<>) | [model](<>) \| [log](<>) | |
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Please add the config of this distillation (lad_ppa_r50_ppa_r101_1x_coco.py).
And contact with @pppppM to upload the files (model and log) after training.
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| _base_ = ['mmdet::paa/paa_r101_fpn_1x_coco.py'] | |||
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Backbone of the student model should be r50.
* refactor(onnx2ncnn.cpp): split it to shape_inference, pass and utils * refactor(onnx2ncnn.cpp): split it to shape_inference, pass and utils * refactor(onnx2ncnn.cpp): split code * refactor(net_module.cpp): fix build error * ci(test_onnx2ncnn.py): add generate model adn run * ci(onnx2ncnn): add ncnn backend * ci(test_onnx2ncnn): add converted onnx model` * ci(onnx2ncnn): fix ncnn tar * ci(backed-ncnn): simplify dependency install * ci(onnx2ncnn): fix apt install * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * Update backend-ncnn.yml * fix(ci): add include algorithm * Update build.yml * parent aa85760 author q.yao <streetyao@live.com> 1651287879 +0800 committer tpoisonooo <khj.application@aliyun.com> 1652169959 +0800 [Fix] Fix ci (open-mmlab#426) * fix ci * add nvidia key * remote torch * recover pytorch refactor(onnx2ncnn.cpp): split it to shape_inference, pass and utils * fix(onnx2ncnn): review * fix(onnx2ncnn): build error Co-authored-by: q.yao <streetyao@live.com>
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