203 lines
7.0 KiB
Python
203 lines
7.0 KiB
Python
# vision/camera.py
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import cv2
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import os
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import time
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from datetime import datetime
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import numpy as np
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import shutil # 用于检查磁盘空间
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class CameraUtil:
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"""
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海康摄像头工具类，用于初始化、设置配置、捕获图像等操作
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"""
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def __init__(self):
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self.camera = None
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self.camera_type = "ip"
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self.camera_ip = "192.168.0.234"
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self.camera_port = 554
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self.camera_username = "admin"
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self.camera_password = "ailaimiye123"
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self.camera_channel = 1
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def set_config(self, camera_type="ip", ip=None, port=None, username=None, password=None, channel=1):
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"""
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设置摄像头配置
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"""
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self.camera_type = camera_type
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if ip:
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self.camera_ip = ip
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if port:
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self.camera_port = port
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if username:
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self.camera_username = username
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if password:
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self.camera_password = password
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self.camera_channel = channel
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def setup_capture(self, camera_index=0):
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"""
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设置摄像头捕获
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"""
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try:
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rtsp_url = f"rtsp://{self.camera_username}:{self.camera_password}@{self.camera_ip}:{self.camera_port}/streaming/channels/{self.camera_channel}01"
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self.camera = cv2.VideoCapture(rtsp_url, cv2.CAP_FFMPEG)
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if not self.camera.isOpened():
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print(f"无法打开网络摄像头: {rtsp_url}")
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return False
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print(f"网络摄像头初始化成功，地址: {rtsp_url}")
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# 关键优化：设置极低的缓冲区大小
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self.camera.set(cv2.CAP_PROP_BUFFERSIZE, 1)
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# 确保设置合理的帧率
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self.camera.set(cv2.CAP_PROP_FPS, 25)
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# 设置超时参数
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self.camera.set(cv2.CAP_PROP_OPEN_TIMEOUT_MSEC, 5000) # 5秒超时
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self.camera.set(cv2.CAP_PROP_READ_TIMEOUT_MSEC, 1000) # 1秒读取超时
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return True
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except Exception as e:
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print(f"摄像头设置失败: {e}")
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return False
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def capture_frame(self):
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"""捕获当前帧并返回numpy数组，设置5秒总超时"""
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try:
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if self.camera is None:
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print("摄像头未初始化")
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return None
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# 设置总超时时间为5秒
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total_timeout = 5.0 # 5秒总超时时间
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start_time = time.time()
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# 跳20帧，获取最新图像
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frames_skipped = 0
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while frames_skipped < 20:
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# 检查总超时
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if time.time() - start_time > total_timeout:
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print("捕获图像总超时")
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return None
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self.camera.grab()
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time.sleep(0.05) # 稍微增加延迟，确保有新帧到达
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frames_skipped += 1
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# 尝试读取帧，使用同一超时计时器
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read_attempts = 0
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max_read_attempts = 3
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if self.camera.grab():
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while read_attempts < max_read_attempts:
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# 使用同一个超时计时器检查
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if time.time() - start_time > total_timeout:
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print("捕获图像总超时")
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return None
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ret, frame = self.camera.retrieve()
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if ret:
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return frame
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else:
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print(f"尝试读取图像帧失败，重试 ({read_attempts+1}/{max_read_attempts})")
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read_attempts += 1
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# 短暂延迟后重试
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time.sleep(0.05)
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print("多次尝试后仍无法捕获有效图像帧")
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return None
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except Exception as e:
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print(f"图像捕获失败: {e}")
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return None
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def release(self):
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"""释放摄像头资源"""
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if self.camera is not None:
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self.camera.release()
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self.camera = None
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print("摄像头资源已释放")
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def save_frame(self, frame, save_dir="captured_frames", filename=None):
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"""
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保存图像帧到指定目录，按日期创建子文件夹
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:param frame: 要保存的图像帧
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:param save_dir: 保存根目录
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:param filename: 保存的文件名，如果为None则使用时分秒格式
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:return: 保存的文件路径
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"""
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try:
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# 确保保存根目录存在
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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print(f"创建保存根目录: {save_dir}")
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# 检查磁盘可用空间 - 修复变量名称错误
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total, used, free = shutil.disk_usage(save_dir)
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if free < 1024 * 1024 * 20: # 小于 20MB 就停止
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print(f"❌ 磁盘空间严重不足（仅剩 {free / (1024**3):.2f} GB），停止运行。")
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return None
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# 获取当前日期，创建日期子文件夹
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current_date = datetime.now().strftime("%Y%m%d")
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date_dir = os.path.join(save_dir, current_date)
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# 确保日期子文件夹存在
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if not os.path.exists(date_dir):
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os.makedirs(date_dir)
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print(f"创建日期文件夹: {date_dir}")
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# 生成文件名（时分秒格式）
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if filename is None:
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time_str = datetime.now().strftime("%Y%m%d%H%M%S")
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filename = f"{time_str}.jpg"
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# 保存图像到日期子文件夹
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save_path = os.path.join(date_dir, filename)
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loc_status=cv2.imwrite(save_path, frame)
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if not loc_status:
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print(f"保存图像失败: {save_path}")
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return None
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print(f"图像已保存到: {save_path}")
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return save_path
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except Exception as e:
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print(f"保存图像失败: {e}")
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return None
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def save_img(self):
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"""
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保存当前帧
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:return: None
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"""
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if self.camera is None:
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self.setup_capture()
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frame = self.capture_frame()
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if frame is not None:
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self.save_frame(frame)
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self.release()
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else:
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print("无法捕获图像帧")
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return None
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def __del__(self):
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"""关闭
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"""
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self.release()
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if __name__ == "__main__":
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camera = CameraUtil()
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for i in range(10):
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camera.save_img()
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time.sleep(5)
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camera.release()
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# camera.set_config(camera_type="ip", ip="192.168.0.234", port=554, username="admin", password="ailaimiye123", channel=1)
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# camera.setup_capture()
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# for i in range(10):
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# frame = camera.capture_frame()
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# if frame is not None:
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# 保存当前帧
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# camera.save_frame(frame)
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# cv2.imshow("Camera Feed", frame)
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print('success')
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# camera.release()
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# cv2.destroyAllWindows()
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