Doesn’t handle the stream

[krolaper]

At the moment, it does not process the stream. There is a launch of everything as planned, but in response to endless processing without the result and without errors.
The code was not changed. Example link: https://youtu.be/X3Iwe_d5AVk

Log:

detect: weights=yolov5s.pt, source=data/images, data=data/coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLOv5 🚀 detect_model Python-3.10.6 torch-1.13.0+cu117 CUDA:0 (NVIDIA GeForce MX130, 2004MiB)
Fusing layers... 
YOLOv5m summary: 290 layers, 22323858 parameters, 0 gradients

is there a problem with some library on the server?

[glenn-jocher]

@krolaper works for me in our Colab notebook. You might just have some environment issues.

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide