Elin

Close this issuse due to unknow reasons

Same Error as below: ```bash pydantic.v1.error_wrappers.ValidationError: 1 validation error for JsonSpec dict_ value is not a valid dict (type=type_error.dict) ```

And then just seperate the module initailize and state_dict() loading.

> @RosterMouch I also encountered the same problem. The solution is to use E:\Anaconda\envs\YOLOV5\Lib\site-packages\torch\lib\cublas64_11.dll in the annconda virtual environment replace E:\CUDA\NVIDIA GPU Computing Toolkit\CUDA11.1\bin\cublas64_11.dll in cuda environment 并不是，我换了一种比较笨的思路：那就是让Pytorch、cuDNN还有TRT都运行同一个CUDA依赖 比如我说我现在的conda环境里就是： -...

> me too,u should check cuda/v11.4/bin cublas64_11.dll is same with anaconda/envs/lib/site-packages,u should check it Yeah i using a way that kind been nut,but it`s really working: Let cuDNN,TensorRT and Pytorch...

> I noticed in the discussion above that it was prompted to have the same CUDA version, but I had the same issue with the same CUDA version. > >...

Same so,after using yoloV8 detection,the framerate on my apps were just 4-10FPS...

> @ElinLiu0 : Are you sure, that this low framerate is caused by the streamlit-webrtc part? > If you use YOLOv8 only on CPU or with PyTorch framework, this may...

> requests.exceptions.ConnectTimeout: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /charactr/vocos-encodec-24khz/resolve/main/config.yaml (Caused by ConnectTimeoutError(, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 6b522bed-e944-4168-b636-7b4c165b3ec5)') 该如何解决这个问题呢 如何过网络条件允许，可以先使用git lfs把这个模型克隆下来，再对应的放到你的huggingface hub的缓存目录，通常Linux下应该是在：$HOME/.cache/huggingface/hub，Windows没用过所以不是很清楚。

> I found some limitations in [here](https://github.com/CVCUDA/CV-CUDA/blob/release_v0.4.x/src/cvcuda/include/cvcuda/OpNonMaximumSuppression.h#L62) > > I think you need to convert the input tensor to **int16** thanks,but i still have some trouble need to deal with:because...