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ModelZoo
yolov9_pytorch
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7e1526a2
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7e1526a2
authored
May 17, 2024
by
dongchy920
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Update README.md
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README.md
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7e1526a2
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@@ -115,6 +115,7 @@ python detect_dual.py --source './data/images/horses.jpg' --img 640 --device 0 -
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@@ -115,6 +115,7 @@ python detect_dual.py --source './data/images/horses.jpg' --img 640 --device 0 -
测试数据:
[
test
](
http://images.cocodataset.org/zips/test2017.zip
)
测试数据:
[
test
](
http://images.cocodataset.org/zips/test2017.zip
)
测试指标:
测试指标:
```
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.530
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.530
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.703
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.703
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.578
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.578
...
@@ -127,7 +128,7 @@ python detect_dual.py --source './data/images/horses.jpg' --img 640 --device 0 -
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@@ -127,7 +128,7 @@ python detect_dual.py --source './data/images/horses.jpg' --img 640 --device 0 -
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.539
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.539
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.759
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.759
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.847
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.847
```
## 应用场景
## 应用场景
### 算法类别
### 算法类别
目标检测、目标分割
目标检测、目标分割
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