modify: 实现视频流推理
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import sophon_chakcy.sail as sail
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import threading
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import time
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class DetectVideoStream:
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def __init__(self,
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detectors,
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video_path: str,
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max_frames: int = 0,
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frame_skip: int = 0,
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reconnect_attempts: int = 3,
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reconnect_delay: int = 5,
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is_save: bool = False):
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"""
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处理视频流(视频文件或RTSP流)
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Args:
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detector: 检测器
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video_path: 视频文件路径或 RTSP URL
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max_frames: 最大处理帧数, 0表示处理所有帧
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frame_skip: 跳帧处理, 0表示处理每一帧
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reconnect_attempts: RTSP断流重连尝试次数
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reconnect_delay: 重连延迟时间 (秒)
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Returns:
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处理的帧数, 检测到的物体总数
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"""
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self.detectors = detectors
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self.dev_id = self.detectors[0].dev_id
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self.handle = self.detectors[0].handle
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self.video_path = video_path
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self.max_frames = max_frames
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self.frame_skip = frame_skip
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if not video_path.startswith("rtsp"):
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self.reconnect_attempts = 0
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else:
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self.reconnect_attempts = reconnect_attempts
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self.reconnect_delay = reconnect_delay
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self.decoder = sail.Decoder(video_path, True, self.dev_id)
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self.stop_event = threading.Event()
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self.is_save = is_save
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if self.is_save:
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import os
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from pathlib import Path
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import shutil
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result_dir = r"results"
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# 清理旧的目录
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if os.path.exists(result_dir):
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print(f"清理旧的构建目录: {result_dir}")
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shutil.rmtree(result_dir, ignore_errors=True)
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# 创建目录
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result_dir_path = Path(result_dir)
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if not result_dir_path.exists():
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result_dir_path.mkdir(parents=True, exist_ok=True)
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enc_params = f"width=1920:height=1080:bitrate=2000:gop=32:gop_preset=2:framerate=25"
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self.encoder = sail.Encoder("results/output.mp4", self.dev_id, 'h264_bm', 'NV12', enc_params, 10)
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def run_task(self):
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if not self.decoder.is_opened():
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print(f"错误: 无法打开视频流 {self.video_path}")
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return 0, 0
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frame_shape = self.decoder.get_frame_shape()
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print(f"视频帧形状: {frame_shape}")
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frame_count = 0
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reconnect_count = 0
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try:
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while not self.stop_event.is_set():
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if self.max_frames > 0 and frame_count >= self.max_frames:
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print(f"\n达到最大帧数限制: {self.max_frames}")
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break
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# 读取一帧
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bmimg = sail.BMImage()
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ret = self.decoder.read(self.handle, bmimg)
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if ret != 0:
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print(f"读取帧失败,错误码: {ret}")
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reconnect_count += 1
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if reconnect_count > self.reconnect_attempts:
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print("视频流无法继续读取")
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break
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print(f"尝试重连 ({reconnect_count}/{self.reconnect_attempts})...")
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time.sleep(self.reconnect_delay)
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self.decoder.release()
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decoder = sail.Decoder(self.video_path, True, self.dev_id)
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if decoder.is_opened():
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reconnect_count = 0
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print("重连成功,继续处理...")
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continue
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else:
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print("重连失败")
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if self.frame_skip > 0 and frame_count % (self.frame_skip + 1) != 0:
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frame_count += 1
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if self.is_save:
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self.encoder.video_write(bmimg)
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continue
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# 开始处理当前帧
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start_time = time.time()
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frame_count += 1
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if frame_count % 10 == 0:
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print(f"处理第 {frame_count} 帧...")
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# 检测
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for detector in self.detectors:
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detections = detector.detect(bmimg)
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if len(detections) > 0:
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detections = detections[0]
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filtered_detections = []
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for det in detections:
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if len(det) >= 6:
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x1, y1, x2, y2, conf, cls_id = det[:6]
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if conf > detector.conf_thresh:
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filtered_detections.append([x1, y1, x2, y2, conf, cls_id])
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if len(filtered_detections) > 0:
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result_img = detector.draw_detections(bmimg, filtered_detections, None)
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else:
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result_img = bmimg
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else:
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result_img = bmimg
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if self.is_save:
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self.encoder.video_write(result_img)
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except KeyboardInterrupt:
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print("\n检测到键盘中断,停止处理")
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except Exception as e:
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print(f"处理视频流时发生错误: {e}")
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finally:
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# 清理资源
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self.decoder.release()
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if self.is_save:
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self.encoder.release()
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print("视频解码器已释放")
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def stop_task(self):
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print("提前关闭")
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self.stop_event.set()
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