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cdnet's Issues

Load the pre-trained file with PyTorch.

Hi @zhangzhengde,

I'm trying to download the trainet but I'm having a problem. Since I don't live in China, I can't download from Baidu Pan site - it requires a Chinese phone number (so mine doesn't work), I tried to use Pandownload but the file is too big and can't be downloaded with this site. Also, the Jbox site seems to be down (https://jbox.sjtu.edu.cn/l/Z0i6nQ).

Would it be possible that you provide a link to download the trainset on another platform such as Mega or Mediafire?
Thank you for you project :)

模型保存时是按那个指标的?

      模型保存时是按那个指标的?`fi = fitness(np.array(results).reshape(1, -1))  # fitness_i = weighted combination of [P, R, mAP, F1]`

您好,我看过你的论文,觉得你的工作非常好。其中我注意到,你的工作中只关注了F1 score这一个指标,恰好我的工作中也使用到这个指标,所以想问问你一个问题。 yolov5中保存模型会计算一个最优值,计算的是map0.5和map的加权和
fi = fitness(np.array(results).reshape(1, -1)
w = [0.0, 0.0, 0.1, 0.9] # weights for [P, R, [email protected], [email protected]:0.95]
我想请问下你的工作保存模型是以那个指标来进行保存的,我看到你的注释中写道
# weighted combination of [P, R, mAP, F1]
请问是map和F1的加权和吗,权重比例是多少,是0.1 * map+0.9 * F1吗? 还是只取最大的F1 score?

How SSVM works?

Hey!From the experimental results, we can see that SSVM greatly improves the detection accuracy,Although the flow of the algorithm is described in the text, I still do not quite understand the principle and implementation details of the algorithm.
Can you briefly describe how SSVM works? And can you recommend some reference material on SSVM?

yolo2coco.py

您好,请问能开源数据集转coco格式的代码么,或者coco格式的数据集网盘,yolo2coco.py代码好像不是完整的,import damei as dm找不到在哪

Marking error?

Is the marking of the fig error? Should it be SE-YOLOv5 + NST + SSVM?
image

image

您好,复现您的代码指标有差异

您好,按照论文中的设置训练,在testsets_1770数据集做测试,没有达到论文中的f1 score,论文中有95%,复现只有85%;fps比论文中快了很多,fps在40-55之间;请问是我忽略了什么吗

检测问题

在运行detect.py时一直遇到这个问题,cv2.error: OpenCV(4.5.4) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4051: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'没有改动过您的代码,想问一下原因,谢谢您

link down

can you please update dataset link

yolov5-v6.1 baseline model

您好,非常感谢您所做的工作!
我在我的仓库 CDNet-yolov5 正在尝试利用您的数据集训练一些常用的检测模型,这项工作现在正在进行,不知道能否融入到您的 CDNet仓库的 README.md中,这项工作是完全基于现有的Yolov5的V6.1版本。

对您在论文中写的负样本训练(NST)方法有点疑惑?

Snipaste_2023-02-22_21-15-36
您在论文中写道“在训练过程中,将同时检测人行横道和引导箭头,引导箭头将从最终的检测结果中排除。这样实际上增加了训练中导箭的损失函数。”,请问您是怎么将引导箭头将从最终的检测结果中排除的?我在您的detect.py代码中并没有看到相应操作,您能指点我一下吗?

Models Download

may you upload models to google drive, i can't register to Baidu since i dont have Chinese number

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