Merge pull request #73 from zhanghuiyao/master

Add yolov5x weight
mindspore-lab · Apr 28, 2023 · 29cb29f · 29cb29f
2 parents cc63156 + 087982d
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diff --git a/MODEL_ZOO.md b/MODEL_ZOO.md
@@ -9,6 +9,7 @@
 | YOLOv5 | S         | D910x8-G | 640       | MS COCO 2017 | 37.6        | 7.2M    | 16.5G  | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5s.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5s_300e_mAP376-860bcf3b.ckpt)          |
 | YOLOv5 | M         | D910x8-G | 640       | MS COCO 2017 | 44.9        | 21.2M   | 49.0G  | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5m.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5m_300e_mAP449-e7bbf695.ckpt)          |
 | YOLOv5 | L         | D910x8-G | 640       | MS COCO 2017 | 48.5        | 46.5M   | 109.1G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5l.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5l_300e_mAP485-a28bce73.ckpt)          |
+| YOLOv5 | X         | D910x8-G | 640       | MS COCO 2017 | 50.5        | 86.7M   | 205.7G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5x.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5x_300e_mAP505-97d36ddc.ckpt)          |
 | YOLOv3 | Darknet53 | D910x8-G | 640       | MS COCO 2017 | 45.5        | 61.9M   | 156.4G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov3/yolov3.yaml)      | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-adfb27af.ckpt) |
 
 <br>

diff --git a/configs/yolov5/README.md b/configs/yolov5/README.md
@@ -16,6 +16,7 @@ YOLOv5 is a family of object detection architectures and models pretrained on th
 | YOLOv5 | S     | P5       | D910x8-G | 640       | MS COCO 2017 | 37.6        | 7.2M   | 16.5G  | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5s.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5s_300e_mAP376-860bcf3b.ckpt)         |
 | YOLOv5 | M     | P5       | D910x8-G | 640       | MS COCO 2017 | 44.9        | 21.2M  | 49.0G  | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5m.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5m_300e_mAP449-e7bbf695.ckpt)         |
 | YOLOv5 | L     | P5       | D910x8-G | 640       | MS COCO 2017 | 48.5        | 46.5M  | 109.1G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5l.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5l_300e_mAP485-a28bce73.ckpt)         |
+| YOLOv5 | X     | P5       | D910x8-G | 640       | MS COCO 2017 | 50.5        | 86.7M  | 205.7G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5x.yaml)     | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5x_300e_mAP505-97d36ddc.ckpt)         |
 
 </div>
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