对角巷法师

> Of course, supports input the point_cloud data directly (for example: numpy array format), more details can be seen [here](https://github.com/open-mmlab/mmdetection3d/blob/ff159fe7ea2a45f9138487c1c4977d2f67676ebc/mmdet3d/apis/inference.py#L122)`inferecne_detector` Thank you very much for your answer. I read the...

I checked the 609 lines of the "transforms_3d. Py" file at the error location, and printed and viewed the data contents of "input_dict ['points']" and "rot_mat_t". The data transmitted through...

I went on to retrospectively enter the data format, and both looked the same as the definition of dict on lines 106 to 139 in the "inference.py" file: 

The "def inference_detector (model, pcd)" of the file "inference.py": the function can see that when the input data is not "str", the data is loaded using "LoadPointsFromDict": ``` if not...

I solved it. I used the code below to actively process the input point cloud numpy array format data before sending it into the network, which passed and got the...

> 是的，建议安装一下两个cuda10.2的补丁试一下 试过了，没解决掉。 一度以为是onnx版本的问题（python-3.6.9只有onnx-1.11.0），刚才换python-3.7，重装了整个环境，把onnx升级到了1.12.0 现在各软件的版本和你列出来的是一致的，有点迷惑了... 现在表现的cuda的问题，我还在猜测会不会是cuda安装方式的问题，我是装的.run，请问你是.deb装的吗，我验证一下

我尝试使用官方release的yolov7-v0.1及yolov7.pt重新生成了yolov7.onnx，出现了和之前不同的错误： ``` [10/12/2022-20:06:44] [I] [TRT] Input filename: ./yolov7.onnx [10/12/2022-20:06:44] [I] [TRT] ONNX IR version: 0.0.6 [10/12/2022-20:06:44] [I] [TRT] Opset version: 12 [10/12/2022-20:06:44] [I] [TRT] Producer name: pytorch [10/12/2022-20:06:44] [I] [TRT]...

> 建议使用压缩包方式安装cuda和tensorrt,ONNX模型可以使用QQ群的模型，看是不是onnx模型的问题。 用了QQ群的模型，还是上一楼v0.1模型的那个错误，那就把onnx排除了，我重装下cuda试试

deb装cuda有点行不通啊，deb装cuda-10.2会直接安装440驱动并且覆盖掉之前的，但是我gpu是3050，最低需要470的驱动... 卸载440的时候也会把装好的cuda一起卸载掉

https://github.com/lwplw/caffe_yolov2 你看下这个