Comments (3)
不错效果,这是用无人机拍的,看来DOTA的场景也适合无人机影像,比其它基于DOTA的项目效果好多了。我前面都是基于UCAS_AOD数据集测试的
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对的。opencv版本必须小于4.5,4.5以上版本的cv2.minAeraRect()生成的最小外接矩形框θ的所属范围已经变了,所以不适用当前项目的代码。目前我已经将requirements.txt更新
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给作者大大的赞,写的很详细,这份代码pytorch1.6, cv<4.5就能跑了。谢谢作者
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Related Issues (20)
- ModuleNotFoundError: No module named 'DOTA_devkit' HOT 1
- 为什么验证时速度很慢呀
- 运行pip install -v -e .时出现了以下错误 HOT 1
- 已按照解决办法替换了文件,执行python setup.py develop还是报错,请问各位大佬该怎么解决 HOT 2
- How to submit to DOTA official website HOT 1
- fatal error C1189 with nms_rotated/setuo.py HOT 1
- box损失问题 HOT 7
- 如何保存预测结果为jason格式???????
- ImportError: cannot import name 'nms_rotated_ext' from partially initialized module 'utils.nms_rotated' (most likely due to a circular import) HOT 5
- INTERNAL ASSERT FAILED got size:5 HOT 3
- error: command C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\bin\\nvcc.exe failed with exit code 1
- 出错 HOT 1
- hukaixuan19970627/yolov5_obb这个模型可以在cpu下运行吗? HOT 1
- PR曲线全部汇集右下角,绘制PR曲线部分的代码是否存在问题
- 换了OTALoss,训练报了错(i changed to use OTALoss, and when starting training, the errors occur)
- ModuleNotFoundError: No module named 'shapely'
- ValueError: zero-size array to reduction operation maximum which has no identity HOT 2
- RuntimeError: result type Float can't be cast to the desired output type long int HOT 3
- KeyError: '100000668'
- Trying to use A100, the cuda memory is not released correctly
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