分类 默认 下的文章

    Some chunks are larger than 500 kB after minification. Consider:
- Using dynamic import() to code-split the application
- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks
- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.

出现以上报错：
vite.config.ts

增加

   build: {
    chunkSizeWarningLimit: 1600,
  },

完整代码如下

import react from '@vitejs/plugin-react'
import path from "node:path"
import UnoCSS from 'unocss/vite'
import { defineConfig } from 'vite'

// https://vite.dev/config/
export default defineConfig({
  plugins: [react(), UnoCSS(),],
  resolve: {
    alias: {
      "@": path.resolve(__dirname, "./src"),
    },
  },
   build: {
    chunkSizeWarningLimit: 1600,
  },
})

完美解决！！！

代码如下

import cv2
import numpy as np
from datetime import datetime
import time
import os
# 禁用opencv的硬件加速
cv2.setNumThreads(0)
cv2.ocl.setUseOpenCL(False)
# RTSP URL，格式通常是 rtsp://username:password@ip_address:port/stream_path
rtsp_url = 'rtsp://admin:h2331172@192.168.12.82/doc/page/preview.asp'
# 使用cv2.VideoCapture打开RTSP流
cap = cv2.VideoCapture(rtsp_url)
# 增加缓冲区大小
cap.set(cv2.CAP_PROP_BUFFERSIZE, 10)
qrCodeDetector =cv2.QRCodeDetector()
# 视频信息获取
fps = cap.get(cv2.CAP_PROP_FPS)
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# 获取当前工作目录
current_dir = os.getcwd().replace(os.sep, '/')
print('current_dir:',current_dir)
# 使用os.path.join构建保存路径和文件名
save_directory = current_dir + '/images/'
print('save_directory:',save_directory)
if not os.path.exists(save_directory):
    os.makedirs(save_directory)
#当前时间
start_time = time.time()
if not cap.isOpened():
    print("Error: Cannot open video source")
    exit()
while True:
    ret, frame = cap.read()
    if not ret:
        print("Error: Cannot receive frame")
        break
    # ①显示帧 cv2.imread支持读取静态图片
    #show_image=cv2.imshow('IP Camera', frame)
    # ②对帧进行处理，例如转换为灰度图
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    show_image=cv2.imshow('Frame', gray_frame)
    #③ 对帧进行图片存储
    # 获取当前日期和时间
    now = datetime.now()
    # 格式化日期和时间
    formatted_time = now.strftime('%Y%m%d%H%M%S')
    (frameState, frame) = cap.read()                # 记录每帧及获取状态
    fileName =str(formatted_time)+'.jpg'   # 存储路径
    save_path = os.path.join(save_directory, fileName)
    if frameState == True:
        cv2.imwrite(save_path,frame,[cv2.IMWRITE_JPEG_QUALITY,100])
        print(fileName+" successfully write in "+save_path) # 输出存储状态
    # 按'q'退出
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
        
# 释放资源和关闭窗口
cap.release()
cv2.destroyAllWindows()
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