Files
huojv/utils/get_image.py
2025-10-29 15:34:28 +08:00

157 lines
5.5 KiB
Python

import time
from PIL import Image
import cv2
# class GetImage:
# def __init__(self, cam_index=0, width=1920, height=1080):
# self.cap = cv2.VideoCapture(cam_index,cv2.CAP_DSHOW)
#
# if not self.cap.isOpened():
# raise RuntimeError(f"无法打开摄像头 {cam_index}")
# self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
# self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
# print(f"✅ 摄像头 {cam_index} 打开成功,分辨率 {width}x{height}")
# def get_frame(self):
# ret, im_opencv = self.cap.read()
# im_opencv = cv2.cvtColor(im_opencv, cv2.COLOR_BGR2RGB) # rgb 修改通道数并转换图像
# im_opencv = im_opencv[30:30+720, 0:1280]#裁剪尺寸
# im_PIL = Image.fromarray(im_opencv) # 图像改成对象类型
#
# return [im_opencv, im_PIL]
# def release(self):
# self.cap.release()
# cv2.destroyAllWindows()
# print("🔚 摄像头已释放")
# def __del__(self):
# # 以防忘记手动释放
# if hasattr(self, "cap") and self.cap.isOpened():
# self.release()
#
# get_image = GetImage()
#
# if __name__ == '__main__':
# while True:
# if cv2.waitKey(1) & 0xFF == ord('q'):
# break
# a=get_image.get_frame()
# cv2.imshow('image',a[0])
# print(a[0].shape)
#
#
# cv2.destroyAllWindows()
import threading
import warnings
# 抑制OpenCV的警告信息
import os
os.environ['OPENCV_LOG_LEVEL'] = 'ERROR'
cv2.setLogLevel(cv2.LOG_LEVEL_ERROR)
class GetImage:
def __init__(self, cam_index=0, width=1920, height=1080):
print(f"🔧 正在初始化采集卡 {cam_index}...")
self.cap = None
self.frame = None
self.running = True
self.cam_index = cam_index
# 尝试多种方式打开采集卡
backends_to_try = [
(cam_index, cv2.CAP_DSHOW),
(cam_index, cv2.CAP_ANY),
(cam_index, None), # 默认后端
]
for idx, backend in backends_to_try:
try:
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=UserWarning)
if backend is not None:
self.cap = cv2.VideoCapture(idx, backend)
else:
self.cap = cv2.VideoCapture(idx)
if self.cap.isOpened():
# 测试读取一帧
ret, test_frame = self.cap.read()
if ret and test_frame is not None:
print(f"✅ 采集卡 {cam_index} 打开成功")
break
else:
self.cap.release()
self.cap = None
except Exception as e:
if self.cap:
try:
self.cap.release()
except:
pass
self.cap = None
continue
if self.cap is None or not self.cap.isOpened():
print(f"❌ 无法打开采集卡 {cam_index}")
print("请检查:")
print(" 1. 采集卡是否正确连接")
print(" 2. 采集卡索引是否正确(尝试扫描采集卡)")
print(" 3. 采集卡驱动是否安装")
print(" 4. 采集卡是否被其他程序占用")
self.cap = None
return
# 设置分辨率
try:
self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
# 实际获取设置后的分辨率
actual_width = int(self.cap.get(cv2.CAP_PROP_FRAME_WIDTH))
actual_height = int(self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
print(f" 分辨率设置: {width}x{height} -> 实际: {actual_width}x{actual_height}")
except Exception as e:
print(f"⚠️ 设置分辨率失败: {e}")
# 启动更新线程
threading.Thread(target=self.update, daemon=True).start()
# 等待几帧确保采集卡正常工作
import time
time.sleep(1.0)
print(f"✅ 采集卡 {cam_index} 初始化完成")
def update(self):
while self.running and self.cap is not None:
try:
ret, frame = self.cap.read()
if ret and frame is not None:
self.frame = frame
else:
# 读取失败时不打印,避免刷屏
pass
except Exception as e:
# 只在异常时打印错误
print(f"⚠️ 采集卡 {self.cam_index} 读取异常: {e}")
import time
time.sleep(0.1) # 出错时短暂延迟
def get_frame(self):
if self.cap is None or self.frame is None:
return None
try:
im_opencv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2RGB)
im_opencv = im_opencv[30:30+720, 0:1280]
im_PIL = Image.fromarray(im_opencv)
return [im_opencv, im_PIL]
except Exception as e:
print(f"⚠️ 图像处理错误: {e}")
return None
def release(self):
self.running = False
time.sleep(0.2)
if self.cap is not None:
self.cap.release()
cv2.destroyAllWindows()
# get_image 将在main.py中初始化
get_image = None