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一个简单方便的目标检测框架(PyTorch环境可直接运行,不需要cuda编译),支持Faster_RCNN、Cascade_RCNN、Yolo系列、SSD等经典网络。

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請問能能否提供cascade rcnn的預訓練權重呢?另外問一下為何cascade rcnn對類別(box regression部分)不敏感,謝謝

运行命令为:python3 inference.py --config configs/faster_rcnn_voc.yml 代码中的LOAD_CHECKPOINT、INFERENCE_LIST、IMAGE_FOLDER均改为自己的数据集和权重。 错误为:File "/home/easy_detection-master/network/Faster_RCNN/Model.py", line 40, in __init__ if 'SCALE' in config.DATA: AttributeError: 'Option' object has no attribute 'DATA' 感谢!

'stty' 不是内部或外部命令,也不是可运行的程序或批处理文件。

Cascade_RCNN的model.py里面初始化没有config和kwargs参数

运行指令时候python3 train.py --config configs/faster_rcnn_voc.yml,出现了如下警告: .\easy_detection-master\network\SSD\utils\nms.py:15: UserWarning: No NMS is available. Please upgrade torchvision to 0.3.0+ or compile c++ NMS using `cd ext & python build.py build_ext develop` warnings.warn('No NMS is...

when training with yolov3, I met the problem that 'Namespace' object has no attribute 'width', while it has no problem when training with yolov2. The code is shape = (opt.width,...

我用cascade训练了voc 07,map只有66%,在voc0712上的表现只有75%

![截屏2021-10-28 上午9 50 50](https://user-images.githubusercontent.com/33695160/139172460-4be2a411-b2e3-4e9c-a1e3-e971303e2710.png) 这条结果是不是标注错误了,怎么有这么高的mAP,链接中提供的是pytorch官方的预训练集最多只能训练到36-37%之间