Glenn Jocher

@apiszcz yolov5 pip package has nothing to do with Ultralytics. To use correct code install using git clone commands in readme.

@junghyun-avikus 👋 Hello! Thanks for asking about **training speed issues**. YOLOv5 🚀 can be trained on CPU (slowest), [single-GPU](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data), or [multi-GPU](https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training) (fastest). If you would like to increase your training...

@KronbergE I think has been resolved in master a few weeks ago, can you verify you are seeing the problem in current master code? The only place I find any...

@KronbergE good news 😃! Your original issue may now be fixed ✅ in PR #8865. To receive this update: - **[Git](https://github.com/ultralytics/yolov5)** – `git pull` from within your `yolov5/` directory or...

@KronbergE yes this is expected. I would head over the pytorch issue mentioned and add your vote to the ops we need prioritized for conversion, aten::index.Tensor_out

@maverick-ai is this reproducible in current master? We used to have some float64 variables in YOLOv5 but they've all since been removed completely from the repo.

@maverick-ai can you debug and see exactly what variable is float64?

@KronbergE @maverick-ai good news 😃! Your original issue may now be fixed ✅ in PR #9188. To receive this update: - **[Git](https://github.com/ultralytics/yolov5)** – `git pull` from within your `yolov5/` directory...

@notmatthancock thanks for letting us know! This should be fixed now :)

@mark375chen detection can be run on any trained model, i.e. `python detect.py path/to/best.pt`