Python中共享内存封装为类后无法正常工作的问题排查
我正在使用Python的multiprocessing.shared_memory模块在同一计算机的进程间快速传输图片。直接编写共享内存代码时一切正常,但封装为类后无法运行,报错:Process finished with exit code -1073741510 (0xC000013A: interrupted by Ctrl+C)
可正常运行的代码:
import numpy as np from multiprocessing import shared_memory import cv2 w, h = 1920, 1080 shm = shared_memory.SharedMemory(create=True, name="SharedVideoBuffer", size=w*h*3) im = np.ndarray((h, w, 3), dtype=np.uint8, buffer=shm.buf) image = cv2.imread("19201080.jpg") while True: im[:] = image
报错的封装代码:
import numpy as np from multiprocessing import shared_memory import cv2 w, h = 1920, 1080 class SharedMemImagePub: def __init__(self): shm = shared_memory.SharedMemory(create=True, name="SharedVideoBuffer", size=w * h * 3) self.im = np.ndarray((h, w, 3), dtype=np.uint8, buffer=shm.buf) def publish_image(self, cv_image): self.im[:] = cv_image if __name__ == '__main__': shmem_image_pub = SharedMemImagePub() image = cv2.imread("19201080.jpg") while True: shmem_image_pub.publish_image(image)
问题原因
核心是SharedMemory对象的生命周期管理问题:
- 非封装代码中,
shm是全局变量,始终保持引用,不会被Python垃圾回收机制销毁,共享内存资源一直有效。 - 封装后的代码里,
__init__方法中的shm是局部变量,初始化完成后就失去了引用,Python的垃圾回收会自动关闭这个共享内存对象。后续操作self.im(依赖共享内存的buffer)时,由于底层资源已被释放,会触发进程异常退出,表现为类似Ctrl+C中断的错误码。
修复后的代码
将shm保存为类的实例属性,维持对SharedMemory对象的引用,避免被垃圾回收:
import numpy as np from multiprocessing import shared_memory import cv2 w, h = 1920, 1080 class SharedMemImagePub: def __init__(self): # 将shm保存为实例属性,维持引用 self.shm = shared_memory.SharedMemory(create=True, name="SharedVideoBuffer", size=w * h * 3) self.im = np.ndarray((h, w, 3), dtype=np.uint8, buffer=self.shm.buf) def publish_image(self, cv_image): self.im[:] = cv_image def close(self): # 可选:添加关闭方法,退出时手动释放共享内存 self.shm.close() self.shm.unlink() if __name__ == '__main__': shmem_image_pub = SharedMemImagePub() image = cv2.imread("19201080.jpg") try: while True: shmem_image_pub.publish_image(image) except KeyboardInterrupt: # 捕获Ctrl+C,手动释放资源 shmem_image_pub.close()
内容的提问来源于stack exchange,提问作者kevinlinxc
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