- 运行测试命令
(yolov5) D:\ptwork\git\yolov5>python detect.py
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
Parse error at "'-i https'": Expected W:(abcd...)
YOLOv5 v6.1-207-g5774a15 Python-3.9.0 torch-1.11.0 CUDA:0 (NVIDIA GeForce MX350, 2048MiB)
Downloading https://github.com/ultralytics/yolov5/releases/download/v6.1/yolov5s.pt to yolov5s.pt...
第一次运行会下载yolov5s.pt文件，下载可能会很慢，可以自行下载，放置在 yolov5/文件夹下即可，也可以创建一个权重文件夹, yolov5/weights/yolov5s.pt（git上还有其他预训练好的模型，可以自行下载）。 可以使用如下命令
(yolov5) D:\ptwork\git\yolov5>python detect.py --weights weights/yolov5s.pt
detect: weights=['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
Parse error at "'-i https'": Expected W:(abcd...)
YOLOv5 v6.1-207-g5774a15 Python-3.9.0 torch-1.11.0 CUDA:0 (NVIDIA GeForce MX350, 2048MiB)
Fusing layers...
YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients
image 1/2 D:\ptwork\git\yolov5\data\images\bus.jpg: 640x480 4 persons, 1 bus, Done. (0.034s)
image 2/2 D:\ptwork\git\yolov5\data\images\zidane.jpg: 384x640 2 persons, 2 ties, Done. (0.025s)
Speed: 1.5ms pre-process, 29.5ms inference, 3.5ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs\detect\exp2
运行的结果在 runs\detect\exp2中。
在这里插入图片描述
Original: https://blog.csdn.net/bbs165198646/article/details/124901156
Author: 家有一亩三分地
Title: 轻松搭建Yolov5 GPU运行环境
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