
Get the repo and install what’s required:

git clone https://github.com/ultralytics/yolov5
cd yolov5
pip install -r requirements.txt


Run python3 detect.py, which by default uses the PyTorch yolov5s.pt model. You should see something like:

detect: weights=yolov5s.pt, source=data/images, 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
YOLOv5 🚀 v5.0-499-g48b00db torch 1.9.0 CUDA:0 (NVIDIA Tegra X1, 3956.1015625MB)

Fusing layers... 
Model Summary: 224 layers, 7266973 parameters, 0 gradients
image 1/5 /home/jeff/repos/yolov5-new/yolov5/data/images/bus.jpg: 640x480 4 persons, 1 bus, 1 fire hydrant, Done. (0.142s)
...
