File size: 5,156 Bytes
387c3d6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | # 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 |