mirror of
https://github.com/open-mmlab/mmyolo.git
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48f8896e84
* Accelerate RTMDet * update * update * update * update1 * update2 * update pipeline * update lr cudnnbenchmark * revert batchsize * fix batch inference * refactor head * update box * bs=16 * update * move reduce mean * update head * per img loss * fix * fix sum * concat loss * batch dsla * sort topk * bs 32 * clean code * update readme * update ut * update checkpoint * num_class * clean code * resolve comments * fix readme * fix ut Co-authored-by: huanghaian <huanghaian@sensetime.com> Co-authored-by: hha <1286304229@qq.com>
82 lines
2.8 KiB
YAML
82 lines
2.8 KiB
YAML
Collections:
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- Name: RTMDet
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Metadata:
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Training Data: COCO
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Training Techniques:
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- AdamW
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- Flat Cosine Annealing
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Training Resources: 8x A100 GPUs
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Architecture:
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- CSPNeXt
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- CSPNeXtPAFPN
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README: configs/rtmdet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmyolo/blob/main/mmyolo/models/detectors/yolo_detector.py#L12
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Version: v0.1.1
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Models:
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- Name: rtmdet_tiny_syncbn_fast_8xb32-300e_coco
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In Collection: RTMDet
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Config: configs/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco.py
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Metadata:
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Training Memory (GB): 11.7
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Epochs: 300
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 41.0
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Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco/rtmdet_tiny_syncbn_fast_8xb32-300e_coco_20230102_140117-dbb1dc83.pth
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- Name: rtmdet_s_syncbn_fast_8xb32-300e_coco
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In Collection: RTMDet
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Config: configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py
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Metadata:
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Training Memory (GB): 15.9
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Epochs: 300
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 44.6
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Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco/rtmdet_s_syncbn_fast_8xb32-300e_coco_20221230_182329-0a8c901a.pth
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- Name: rtmdet_m_syncbn_fast_8xb32-300e_coco
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In Collection: RTMDet
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Config: configs/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco.py
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Metadata:
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Training Memory (GB): 27.8
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Epochs: 300
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 49.3
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Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco/rtmdet_m_syncbn_fast_8xb32-300e_coco_20230102_135952-40af4fe8.pth
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- Name: rtmdet_l_syncbn_fast_8xb32-300e_coco
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In Collection: RTMDet
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Config: configs/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco.py
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Metadata:
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Training Memory (GB): 43.2
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Epochs: 300
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 51.4
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Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco/rtmdet_l_syncbn_fast_8xb32-300e_coco_20230102_135928-ee3abdc4.pth
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- Name: rtmdet_x_syncbn_fast_8xb32-300e_coco
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In Collection: RTMDet
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Config: configs/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco.py
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Metadata:
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Training Memory (GB): 63.4
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Epochs: 300
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 52.8
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Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco/rtmdet_x_syncbn_fast_8xb32-300e_coco_20221231_100345-b85cd476.pth
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