From 087982de4a5fa12ed521abe6f5f4eaba2c9e6d35 Mon Sep 17 00:00:00 2001 From: zhanghuiyao <1814619459@qq.com> Date: Fri, 28 Apr 2023 16:18:19 +0800 Subject: [PATCH] Add yolov5x weight --- MODEL_ZOO.md | 1 + configs/yolov5/README.md | 1 + 2 files changed, 2 insertions(+) diff --git a/MODEL_ZOO.md b/MODEL_ZOO.md index 44bd9cdc..1362e742 100644 --- 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) |
diff --git a/configs/yolov5/README.md b/configs/yolov5/README.md index 9345f2f5..8a748317 100644 --- 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) |