vott标注文件csv转yolov5脚本

# vott标注文件csv转yolov5脚本 ```python import os import csv # 定义 COCO 类别编号和类别名称映射表 CLASS_MAPPING = { 'ziji': 0, 'npc': 1, 'gebulin': 2, 'rennanyao': 3, 'rennvyao': 4, 'rensiqi': 5 } # 指定一个适当的值来计算 YOLO

pytorch训练图片分类模型

# pytorch训练图片分类模型 ```python import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader import torchvision.transforms as transforms from torchvision.datasets import ImageFolder

pytorch调用已训练图片分类模型

# pytorch调用已训练图片分类模型 ```python import os import shutil import time import torch import torch.nn as nn from torchvision import transforms import torch.nn.functional as F from PIL import Image #指定被操作的文件夹绝对路径 mubiao_path =

yolov5监视应用

# yolov5监视应用 ```python import numpy as np import cv2 as cv import cv2 from mss import mss #实测比PIL库效率更高 import torch import win32gui #找窗口句柄 model = torch.hub.load('ultralytics/yolov5', 'custom', 'best.pt') #找根据父类名或窗口查