Glenn Jocher

@jiapei-nexera it appears you may have environment problems. Please ensure you meet all dependency requirements if you are attempting to run YOLOv5 locally. If in doubt, create a new virtual...

@jehan88 👋 Hello! Thanks for asking about **handling inference results**. YOLOv5 🚀 [PyTorch Hub](https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading) models allow for simple model loading and inference in a pure python environment without using `detect.py`....

@Ichalfians you can do anything you want if you're willing to put in the work

@Sv3n1 👋 Hello! Thanks for asking about **handling inference results**. YOLOv5 🚀 [PyTorch Hub](https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading) models allow for simple model loading and inference in a pure python environment without using `detect.py`....

@mikel-brostrom I'm not sure. In our past conversations with Google they indicated their app was only meant for Google models unfortunately.

@blackShine-2 seems like something is wrong with some of your JPEGs. We try to preprocess the dataset and indicate problem images but it seems that your images are causing errors.

@bzha5848 see https://community.ultralytics.com/t/how-to-combine-weights-to-detect-from-multiple-datasets/38/55

@git-hamza all the YOLOv5 inference methods are intended for models without NMS as they utilize torch NMS for postprocessing, i.e. for *.pb just export without the --nms flag and then...

@git-hamza --nms exports are experimental and are intended for custom use cases. If you'd like to see additional features in the output then please submit a PR to add confidence...

@datdao1998 👋 Hello! Thanks for asking about YOLOv5 🚀 **benchmarks**. YOLOv5 inference is officially supported in 11 formats, and all formats are benchmarked for identical accuracy and to compare speed...