先看运行效果

一、技术要点：

1、用tk做软件界面；

2、用CV2完成视频采集；

注意CV2来自opencv-python，版本号与python版本要注意

我的python3.11,opencv-python4.7.0

pip install opencv-python==4.7.0

二、源码

import cv2
import tkinter as tk
from PIL import ImageTk, Image
import os
from datetime import datetime

cap = cv2.VideoCapture(0)
out = None
is_recording = False

def take_photo():
# 读取视频帧
ret, frame = cap.read()

if ret:
# 生成文件名
now = datetime.now()
timestamp = now.strftime("%Y-%m-%d_%H-%M-%S-%f")
img_name = "images/img_{}.png".format(timestamp)

# 保存照片
cv2.imwrite(img_name, frame)
log_text.insert(tk.END, "拍照成功：{}\n".format(img_name))

# 显示照片在第二个Label上
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image = Image.fromarray(image)
image = image.resize((video_label.winfo_width() // 4, video_label.winfo_height() // 4))
photo_image = ImageTk.PhotoImage(image)
photo_label.config(image=photo_image)
photo_label.image = photo_image

# 显示照片在第一个Label上
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame = Image.fromarray(frame)
frame = ImageTk.PhotoImage(frame)
video_label.config(image=frame)
video_label.image = frame

def record_video():
global out, record_btn, stop_btn,video_name
# 创建保存视频的文件夹
if not os.path.exists('movies'):
os.makedirs('movies')

# 录制视频
now = datetime.now()
timestamp = now.strftime("%Y-%m-%d_%H-%M-%S-%f")
video_name = "movies/video_{}.avi".format(timestamp)
is_recording = True
fps = 20.0
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(video_name, fourcc, fps, (640, 480))
out.write(frame)
log_text.insert(tk.END, "开始录制视频：{}\n".format(video_name))

# 更新按钮状态
record_btn.config(state=tk.DISABLED)
stop_btn.config(state=tk.NORMAL)

def stop_video():
global out, record_btn, stop_btn
# 停止录制视频
is_recording = False
out.release()
cv2.destroyAllWindows()
log_text.insert(tk.END, "录制完成\n")

# 更新按钮状态
record_btn.config(state=tk.NORMAL)
stop_btn.config(state=tk.DISABLED)

def save_log():
log_content = log_text.get("1.0", tk.END)
with open("log.txt", "a") as file:
file.write(log_content)
log_text.insert(tk.END, "日志保存成功\n")

def show_video():
global video_label, photo_label, record_btn, stop_btn, log_text,out
# 创建GUI窗口
window = tk.Tk()
window.title("摄像头监控系统")

# 创建用于显示视频的标签
video_label = tk.Label(window)
video_label.pack(padx=10, pady=10)

# 创建用于显示拍照照片的标签
photo_label = tk.Label(window)
photo_label.place(x=video_label.winfo_width() - video_label.winfo_width() // 4,
y=video_label.winfo_height() - video_label.winfo_height() // 4,
width=video_label.winfo_width() // 4, height=video_label.winfo_height() // 4)

# 创建按钮容器
btn_frame = tk.Frame(window)
btn_frame.pack(padx=10, pady=10)

# 创建拍照按钮
photo_btn = tk.Button(btn_frame, text="拍照", command=take_photo)
photo_btn.pack(side=tk.LEFT, padx=10)

# 创建录像按钮
record_btn = tk.Button(btn_frame, text="开始录像", command=record_video)
record_btn.pack(side=tk.LEFT, padx=10)

# 创建停止录像按钮
stop_btn = tk.Button(btn_frame, text="停止录像", command=stop_video, state=tk.DISABLED)
stop_btn.pack(side=tk.LEFT, padx=10)

# 创建滚动条框架
scrollbar_frame = tk.Frame(window)
scrollbar_frame.pack(padx=10, pady=10)

# 创建滚动条
scrollbar = tk.Scrollbar(scrollbar_frame)
scrollbar.pack(side=tk.RIGHT, fill=tk.Y)

# 创建日志文本框
log_text = tk.Text(scrollbar_frame, height=10, width=80)
log_text.pack(side=tk.LEFT, fill=tk.BOTH, padx=5, pady=5)

# 绑定滚动条和文本框
scrollbar.config(command=log_text.yview)
log_text.config(yscrollcommand=scrollbar.set)

# 创建保存日志按钮
save_btn = tk.Button(window, text="保存日志", command=save_log)
save_btn.pack(padx=10, pady=10)

def update_video():
# 读取视频帧
global frame
ret, frame = cap.read()

if ret:
# 将OpenCV图像转换为Tkinter图像
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image = Image.fromarray(image)
image = ImageTk.PhotoImage(image)

# 更新标签上的图像
video_label.config(image=image)
video_label.image = image
if is_recording:
# 写入视频帧到视频文件
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = 20.0
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(video_name, fourcc, fps, (width, height))
out.write(frame)


# 循环调用更新视频帧
video_label.after(10, update_video)

# 启动更新视频帧的函数
update_video()

# 运行GUI窗口
window.mainloop()

# 运行摄像头监控系统
show_video()