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# 文件名: py代码/camera_worker.py
# (已修复: 1. 添加了缺失的 'finished' 信号。 2. 确保在循环结束时发出信号。 3. 添加了 @pyqtSlot 装饰器。)
import cv2
import numpy as np
import time
import threading # <-- 导入 threading
from PyQt6.QtCore import QObject, pyqtSignal, QThread, pyqtSlot # <-- 导入 pyqtSlot
from PyQt6.QtGui import QImage
# --- 视频流配置 ---
FRAME_WIDTH = 480
FRAME_HEIGHT = 320
FPS_LIMIT = 10 # 限制帧率以节省带宽
JPEG_QUALITY = 50 # 图像质量 (0-100)
class CameraWorker(QObject):
"""
从电脑摄像头抓取视频帧,
并为本地显示和网络发送发出信号。
"""
# 信号: (QImage) - 用于本地实时显示
frame_ready = pyqtSignal(QImage)
# 信号: (bytes) - 用于发送到网络
jpeg_bytes_ready = pyqtSignal(bytes)
# 信号: (str) - 用于错误日志
error_occurred = pyqtSignal(str)
# --- [!! 关键修复 1 !!] ---
# 添加 'finished' 信号
finished = pyqtSignal()
# --- [!! 修复结束 1 !!] ---
def __init__(self):
super().__init__()
self.cap = None
self._running = False
self.frame_interval = 1.0 / FPS_LIMIT
self.capture_thread = None # 保持对线程的引用
@pyqtSlot() # <-- 添加装饰器
def start_streaming(self):
"""
[公共槽] 启动摄像头
"""
if self.cap and self.cap.isOpened():
self.error_occurred.emit("摄像头已在运行中")
return
try:
# 尝试打开默认摄像头 (索引 0)
self.cap = cv2.VideoCapture(0, cv2.CAP_DSHOW) # 使用 DSHOW 后端提高Windows兼容性
if not self.cap.isOpened():
raise ConnectionError("无法打开摄像头。请检查是否已连接或被其他程序占用。")
# 设置摄像头分辨率
self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, FRAME_WIDTH)
self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, FRAME_HEIGHT)
self._running = True
# 启动一个内部线程来循环读取 (避免阻塞)
self.capture_thread = threading.Thread(target=self.run_capture_loop, daemon=True)
self.capture_thread.start()
except Exception as e:
self._running = False
self.cap = None
self.error_occurred.emit(f"启动摄像头失败: {e}")
def run_capture_loop(self):
"""
在工作线程中运行的循环。
"""
last_frame_time = 0
try:
while self._running:
try:
# --- 限制帧率 ---
current_time = time.time()
if (current_time - last_frame_time) < self.frame_interval:
# 睡一小会,把CPU让给其他线程
time.sleep(0.001)
continue
last_frame_time = current_time
# --- 1. 读取帧 ---
if not self.cap:
break
ret, frame = self.cap.read()
if not ret:
self.error_occurred.emit("无法读取摄像头帧,停止。")
self._running = False
break
# (可选) 水平翻转图像,使其像镜子一样
frame = cv2.flip(frame, 1)
# --- 2. 为本地显示准备 (OpenCV BGR -> QImage RGB) ---
rgb_image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
h, w, ch = rgb_image.shape
bytes_per_line = ch * w
qt_image = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format.Format_RGB888)
self.frame_ready.emit(qt_image.copy()) # 发送 QImage (用 .copy() 确保线程安全)
# --- 3. 为网络发送准备 (编码为 JPEG) ---
encode_param = [int(cv2.IMWRITE_WEBP_QUALITY), JPEG_QUALITY]
ret, webp_buffer = cv2.imencode('.webp', frame, encode_param)
if ret:
self.jpeg_bytes_ready.emit(webp_buffer.tobytes()) # 发送 bytes
except Exception as e:
if self._running:
self.error_occurred.emit(f"摄像头捕获循环出错: {e}")
self._running = False # 出错时停止循环
finally:
# --- [!! 关键修复 2 !!] ---
# 循环结束,释放摄像头并发出 'finished' 信号
if self.cap:
try:
self.cap.release()
except Exception as e:
print(f"释放摄像头时出错: {e}")
self.cap = None
self.error_occurred.emit("摄像头已停止。")
self.finished.emit()
# --- [!! 修复结束 2 !!] ---
@pyqtSlot() # <-- 添加装饰器
def stop_streaming(self):
"""
[公共槽] 停止摄像头
"""
self._running = False