Yolov5-Flask-VUE:基于Flask开发后端、VUE开发前端框架,在WEB端部署YOLOv5目标检测模型-源码

上传者: 42116805 | 上传时间: 2021-09-23 14:55:53 | 文件大小: 39.76MB | 文件类型: ZIP
1. 效果: 视频链接: 最终效果: 源码已经上传 Github: 2. YOLOv5模型训练: 训练自己的数据集可以看我这篇博客: 这里演示的话我就用官方训练好的 yolov5m.pt 模型。 3. YOLOv5模型预测: 预测接口: import torch import numpy as np from models.experimental import attempt_load from utils.general import non_max_suppression, scale_coords, letterbox from utils.torch_utils import select_device import cv2 from random import randint class Detector(object): def __init__(self):

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