From f045ecf21331cf841e30fa82e103f293fce1cc62 Mon Sep 17 00:00:00 2001 From: wanghonglie Date: Thu, 3 Nov 2022 17:14:32 +0800 Subject: [PATCH] [Feature] Add YOLOv6 metafile (#227) * add v6 meta file * update v6s --- configs/yolov6/README.md | 2 +- configs/yolov6/metafile.yml | 38 +++++++++++++++++++++++++++++++++++++ 2 files changed, 39 insertions(+), 1 deletion(-) diff --git a/configs/yolov6/README.md b/configs/yolov6/README.md index c59cb5ee..7ae40526 100644 --- a/configs/yolov6/README.md +++ b/configs/yolov6/README.md @@ -20,7 +20,7 @@ For years, YOLO series have been de facto industry-level standard for efficient | :------: | :--: | :--: | :----: | :-: | :------: | :----: | :---------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | | YOLOv6-n | P5 | 640 | Yes | Yes | 6.04 | 36.2 | [config](../yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco.py) | [model](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco/yolov6_n_syncbn_fast_8xb32-400e_coco_20221030_202726-d99b2e82.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco/yolov6_n_syncbn_fast_8xb32-400e_coco_20221030_202726.log.json) | | YOLOv6-t | P5 | 640 | Yes | Yes | 8.13 | 41.0 | [config](../yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco.py) | [model](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco/yolov6_t_syncbn_fast_8xb32-400e_coco_20221030_143755-cf0d278f.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco/yolov6_t_syncbn_fast_8xb32-400e_coco_20221030_143755.log.json) | -| YOLOv6-s | P5 | 640 | Yes | Yes | 8.88 | 43.7 | [config](../yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py) | [model](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221030_202704-2ba343db.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221030_202704.log.json) | +| YOLOv6-s | P5 | 640 | Yes | Yes | 8.88 | 44.0 | [config](../yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py) | [model](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221102_203035-932e1d91.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221102_203035.log.json) | **Note**: diff --git a/configs/yolov6/metafile.yml b/configs/yolov6/metafile.yml index 24240127..95a17093 100644 --- a/configs/yolov6/metafile.yml +++ b/configs/yolov6/metafile.yml @@ -19,3 +19,41 @@ Collections: Code: URL: https://github.com/open-mmlab/mmyolo/blob/v0.0.1/mmyolo/models/detectors/yolo_detector.py#L12 Version: v0.0.1 + +Models: + - Name: yolov6_s_syncbn_fast_8xb32-400e_coco + In Collection: YOLOv6 + Config: configs/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py + Metadata: + Training Memory (GB): 8.88 + Epochs: 400 + Results: + - Task: Object Detection + Dataset: COCO + Metrics: + box AP: 44.0 + Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221102_203035-932e1d91.pth + - Name: yolov6_n_syncbn_fast_8xb32-400e_coco + In Collection: YOLOv6 + Config: configs/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco.py + Metadata: + Training Memory (GB): 6.04 + Epochs: 400 + Results: + - Task: Object Detection + Dataset: COCO + Metrics: + box AP: 36.2 + Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco/yolov6_n_syncbn_fast_8xb32-400e_coco_20221030_202726-d99b2e82.pth + - Name: yolov6_t_syncbn_fast_8xb32-400e_coco + In Collection: YOLOv6 + Config: configs/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco.py + Metadata: + Training Memory (GB): 8.13 + Epochs: 400 + Results: + - Task: Object Detection + Dataset: COCO + Metrics: + box AP: 41.0 + Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco/yolov6_t_syncbn_fast_8xb32-400e_coco_20221030_143755-cf0d278f.pth