Hello, do you have the unaccelerated version of yolov5_JDE Python? Could you please give me your contact information for some details about JDE.

首先，感谢您共享了代码。 关于CSTrack算法，我比较感兴趣转码后的处理速度如何。 这个算法，我最初也打算用TRT加速推理。只是在CCN模块遇到硬伤AdaptiveAveragePooling2D无法转成onnx。因此，我将这个模型转成JIT script，并用libtorch去推理，包括后处理部分卡尔曼滤波等这些都是直接用libtorch去做矩阵计算。 遗憾的是算...

There is a "while" section in the function "void solve(Matrix &m)", In some situations, the function "int step2()" never return 0, so the "while" is caught in dead loop. Thanks!

您好！ 这里想友好探讨一下： 我这边跑了一下您的项目，检测效果很好。 但是当遇到遮挡或者两个人擦身而过，就容易跟丢，虽然使用了CStracker,但是跟踪效果没有达到fairmot的跟踪效果。 不知道您这边的跟踪效果怎么样？

hello, your project is helpful! thanks a lot! however, I use TensorRT >= 7.1 with CUDA 10.2, and your project could not run, because the version not match. could you provide a docker image for your project, it will help a lot!

如题，百度云下载的wts文件转化为yolov5l_int8.engine模型后，程序能顺利跑起来，但是识别不到人，请问是模型有问题吗？

I'd like to know about the difference between your jde model and the official model in which the 3 * (5 + classes_num) + embedding dimensions feature directly from the last same convolution simultaneously.