357 lines
21 KiB
Python
357 lines
21 KiB
Python
# -*- coding: utf-8 -*-
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from concurrent.futures import ThreadPoolExecutor
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from multiprocessing import Process
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from os import getpid
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from os.path import join
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from time import time, sleep
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from traceback import format_exc
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import cv2
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import numpy as np
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import psutil
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from loguru import logger
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from enums.ExceptionEnum import ExceptionType
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from exception.CustomerException import ServiceException
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from util import ImageUtils
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from util.Cv2Utils import video_conjuncing, write_or_video, write_ai_video, push_video_stream, close_all_p
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from util.ImageUtils import url2Array, add_water_pic
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from util.LogUtils import init_log
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from util.PlotsUtils import draw_painting_joint, filterBox, xywh2xyxy2
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from util.QueUtil import get_no_block_queue, put_queue, clear_queue
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class PushStreamProcess2(Process):
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__slots__ = ("_msg", "_push_queue", "_image_queue", '_push_ex_queue', '_hb_queue', "_context")
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def __init__(self, *args):
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super().__init__()
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# 传参
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self._msg, self._push_queue, self._image_queue, self._push_ex_queue, self._hb_queue, self._context = args
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def build_logo_url(self):
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logo = None
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if self._context["video"]["video_add_water"]:
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logo = self._msg.get("logo_url")
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if logo:
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logo = url2Array(logo, enable_ex=False)
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if logo is None:
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logo = cv2.imread(join(self._context['base_dir'], "image/logo.png"), -1)
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self._context["logo"] = logo
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class OnPushStreamProcess2(PushStreamProcess2):
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__slots__ = ()
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def run(self):
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msg, context = self._msg, self._context
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self.build_logo_url()
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request_id = msg["request_id"]
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base_dir, env = context["base_dir"], context['env']
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push_queue, image_queue, push_ex_queue, hb_queue = self._push_queue, self._image_queue, self._push_ex_queue, \
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self._hb_queue
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orFilePath, aiFilePath, logo = context["orFilePath"], context["aiFilePath"], context["logo"]
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or_video_file, ai_video_file, push_p, push_url = None, None, None, msg["push_url"]
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service_timeout = int(context["service"]["timeout"]) + 120
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frame_score = context["service"]["filter"]["frame_score"]
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ex = None
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ex_status = True
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try:
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init_log(base_dir, env)
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logger.info("开始启动推流进程！requestId:{}", request_id)
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with ThreadPoolExecutor(max_workers=3) as t:
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# 定义三种推流、写原视频流、写ai视频流策略
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# 第一个参数时间, 第二个参数重试次数
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p_push_status, or_write_status, ai_write_status = [0, 0], [0, 0], [0, 0]
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start_time = time()
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minID = 0
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maxID = 0
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while True:
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# 检测推流执行超时时间
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if time() - start_time > service_timeout:
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logger.error("推流超时, requestId: {}", request_id)
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raise ServiceException(ExceptionType.PUSH_STREAM_TIMEOUT_EXCEPTION.value[0],
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ExceptionType.PUSH_STREAM_TIMEOUT_EXCEPTION.value[1])
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# 系统由于各种问题可能会杀死内存使用多的进程, 自己杀掉自己
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if psutil.Process(getpid()).ppid() == 1:
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ex_status = False
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logger.info("推流进程检测到父进程异常停止, 自动停止推流进程, requestId: {}", request_id)
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for q in [push_queue, image_queue, push_ex_queue, hb_queue]:
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clear_queue(q)
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break
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# 获取推流的视频帧
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push_r = get_no_block_queue(push_queue)
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if push_r is not None:
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# [(1, ...] 视频帧操作
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# [(2, 操作指令)] 指令操作
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if push_r[0] == 1:
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# 如果是多模型push_objs数组可能包含[模型1识别数组, 模型2识别数组, 模型3识别数组]
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frame_list, frame_index_list, all_frames, draw_config, push_objs = push_r[1]
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# 处理每一帧图片
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for i, frame in enumerate(frame_list):
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# 复制帧用来画图
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copy_frame = frame.copy()
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# 所有问题记录字典
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det_xywh, thread_p = {}, []
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det_tmp = {}
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det_xywh2 = {}
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# [模型1识别数组, 模型2识别数组, 模型3识别数组]
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for s_det_list in push_objs:
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code, det_result = s_det_list[0], s_det_list[1][i]
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if len(det_result) > 0:
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font_config, allowedList = draw_config["font_config"], draw_config[code]["allowedList"]
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rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
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for qs in det_result:
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box, score, cls = xywh2xyxy2(qs)
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if cls not in allowedList or score < frame_score:
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continue
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label_array, color = label_arrays[cls], rainbows[cls]
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rr = t.submit(draw_painting_joint, box, copy_frame, label_array, score, color, font_config)
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thread_p.append(rr)
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if det_xywh.get(code) is None:
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det_xywh[code] = {}
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cd = det_xywh[code].get(cls)
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is_new = False
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if len(qs) == 8:
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trackId = qs[7]
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elif len(qs) == 5:
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trackId = qs[4]
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if trackId > minID:
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is_new = True
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if det_tmp.get(code) is None:
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det_tmp[code] = [cls]
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else:
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if not (cls in det_tmp[code]):
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det_tmp[code].append(cls)
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qs_tmp = [cls, box, score, label_array, color, is_new]
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if trackId > maxID:
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maxID = trackId
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if cd is None:
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det_xywh[code][cls] = [qs_tmp]
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else:
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det_xywh[code][cls].append(qs_tmp)
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minID = maxID
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if logo:
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frame = add_water_pic(frame, logo, request_id)
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copy_frame = add_water_pic(copy_frame, logo, request_id)
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if len(thread_p) > 0:
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for r in thread_p:
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r.result()
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frame_merge = video_conjuncing(frame, copy_frame)
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# 写原视频到本地
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write_or_video_result = t.submit(write_or_video, frame, orFilePath, or_video_file,
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or_write_status, request_id)
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# 写识别视频到本地
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write_ai_video_result = t.submit(write_ai_video, frame_merge, aiFilePath,
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ai_video_file, ai_write_status, request_id)
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push_p_result = t.submit(push_video_stream, frame_merge, push_p, push_url,
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p_push_status,
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request_id)
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if det_xywh:
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for index, (key, value) in enumerate(det_xywh.items()):
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for k in value.keys():
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if (key in det_tmp.keys()) and (k in det_tmp[key]):
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det_xywh2[key] = {}
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det_xywh2[key][k] = det_xywh[key][k]
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if len(det_xywh2) > 0:
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put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
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push_p = push_p_result.result(timeout=60)
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ai_video_file = write_ai_video_result.result(timeout=60)
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or_video_file = write_or_video_result.result(timeout=60)
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# 接收停止指令
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if push_r[0] == 2:
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if 'stop' == push_r[1]:
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logger.info("停止推流线程, requestId: {}", request_id)
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break
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if 'stop_ex' == push_r[1]:
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logger.info("停止推流线程, requestId: {}", request_id)
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ex_status = False
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break
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del push_r
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else:
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sleep(1)
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except ServiceException as s:
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logger.error("推流进程异常:{}, requestId:{}", s.msg, request_id)
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ex = s.code, s.msg
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except Exception:
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logger.error("推流进程异常:{}, requestId:{}", format_exc(), request_id)
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ex = ExceptionType.SERVICE_INNER_EXCEPTION.value[0], ExceptionType.SERVICE_INNER_EXCEPTION.value[1]
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finally:
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# 关闭推流管, 原视频写对象, 分析视频写对象
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close_all_p(push_p, or_video_file, ai_video_file, request_id)
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if ex:
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code, msg = ex
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put_queue(push_ex_queue, (1, code, msg), timeout=2)
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else:
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if ex_status:
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# 关闭推流的时候, 等待1分钟图片队列处理完，如果1分钟内没有处理完, 清空图片队列, 丢弃没有上传的图片
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c_time = time()
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while time() - c_time < 60:
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if image_queue.qsize() == 0 or image_queue.empty():
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break
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sleep(2)
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for q in [push_queue, image_queue, hb_queue]:
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clear_queue(q)
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logger.info("推流进程停止完成！requestId:{}", request_id)
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class OffPushStreamProcess2(PushStreamProcess2):
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__slots__ = ()
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def run(self):
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self.build_logo_url()
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msg, context = self._msg, self._context
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request_id = msg["request_id"]
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base_dir, env = context["base_dir"], context['env']
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push_queue, image_queue, push_ex_queue, hb_queue = self._push_queue, self._image_queue, self._push_ex_queue, \
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self._hb_queue
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aiFilePath, logo = context["aiFilePath"], context["logo"]
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ai_video_file, push_p, push_url = None, None, msg["push_url"]
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service_timeout = int(context["service"]["timeout"]) + 120
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frame_score = context["service"]["filter"]["frame_score"]
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ex = None
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ex_status = True
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try:
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init_log(base_dir, env)
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logger.info("开始启动离线推流进程！requestId:{}", request_id)
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with ThreadPoolExecutor(max_workers=2) as t:
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# 定义三种推流、写原视频流、写ai视频流策略
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# 第一个参数时间, 第二个参数重试次数
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p_push_status, ai_write_status = [0, 0], [0, 0]
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start_time = time()
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minID = 0
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maxID = 0
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while True:
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# 检测推流执行超时时间
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if time() - start_time > service_timeout:
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logger.error("离线推流超时, requestId: {}", request_id)
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raise ServiceException(ExceptionType.PUSH_STREAM_TIMEOUT_EXCEPTION.value[0],
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ExceptionType.PUSH_STREAM_TIMEOUT_EXCEPTION.value[1])
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# 系统由于各种问题可能会杀死内存使用多的进程, 自己杀掉自己
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if psutil.Process(getpid()).ppid() == 1:
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ex_status = False
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logger.info("离线推流进程检测到父进程异常停止, 自动停止推流进程, requestId: {}", request_id)
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for q in [push_queue, image_queue, push_ex_queue, hb_queue]:
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clear_queue(q)
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break
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# 获取推流的视频帧
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push_r = get_no_block_queue(push_queue)
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if push_r is not None:
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# [(1, ...] 视频帧操作
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# [(2, 操作指令)] 指令操作
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if push_r[0] == 1:
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frame_list, frame_index_list, all_frames, draw_config, push_objs = push_r[1]
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# 处理每一帧图片
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for i, frame in enumerate(frame_list):
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if frame_index_list[i] % 300 == 0 and frame_index_list[i] <= all_frames:
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task_process = "%.2f" % (float(frame_index_list[i]) / float(all_frames))
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put_queue(hb_queue, {"hb_value": task_process}, timeout=2)
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# 复制帧用来画图
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copy_frame = frame.copy()
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# 所有问题记录字典
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det_xywh, thread_p = {}, []
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det_xywh2 = {}
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det_tmp = {}
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for s_det_list in push_objs:
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code, det_result = s_det_list[0], s_det_list[1][i]
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if len(det_result) > 0:
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font_config, allowedList = draw_config["font_config"], draw_config[code]["allowedList"]
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rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
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for qs in det_result:
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box, score, cls = xywh2xyxy2(qs)
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if cls not in allowedList or score < frame_score:
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continue
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label_array, color = label_arrays[cls], rainbows[cls]
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rr = t.submit(draw_painting_joint, box, copy_frame, label_array, score, color, font_config)
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thread_p.append(rr)
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if det_xywh.get(code) is None:
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det_xywh[code] = {}
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cd = det_xywh[code].get(cls)
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is_new = False
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if len(qs) == 8:
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trackId = qs[7]
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elif len(qs) == 5:
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trackId = qs[4]
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if trackId > minID:
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is_new = True
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if det_tmp.get(code) is None:
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det_tmp[code] = [cls]
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else:
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if not (cls in det_tmp[code]):
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det_tmp[code].append(cls)
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qs_tmp = [cls, box, score, label_array, color, is_new]
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if trackId > maxID:
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maxID = trackId
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if cd is None:
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det_xywh[code][cls] = [qs_tmp]
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else:
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det_xywh[code][cls].append(qs_tmp)
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minID = maxID
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if logo:
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frame = add_water_pic(frame, logo, request_id)
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copy_frame = add_water_pic(copy_frame, logo, request_id)
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if len(thread_p) > 0:
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for r in thread_p:
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r.result()
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frame_merge = video_conjuncing(frame, copy_frame)
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# 写识别视频到本地
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write_ai_video_result = t.submit(write_ai_video, frame_merge, aiFilePath,
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ai_video_file,
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ai_write_status, request_id)
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push_p_result = t.submit(push_video_stream, frame_merge, push_p, push_url,
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p_push_status,
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request_id)
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if det_xywh:
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for index, (key, value) in enumerate(det_xywh.items()):
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for k in value.keys():
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if (key in det_tmp.keys()) and (k in det_tmp[key]):
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det_xywh2[key] = {}
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det_xywh2[key][k] = det_xywh[key][k]
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if len(det_xywh2) > 0:
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put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
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push_p = push_p_result.result(timeout=60)
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ai_video_file = write_ai_video_result.result(timeout=60)
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# 接收停止指令
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if push_r[0] == 2:
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if 'stop' == push_r[1]:
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logger.info("停止推流线程, requestId: {}", request_id)
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break
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if 'stop_ex' == push_r[1]:
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logger.info("停止推流线程, requestId: {}", request_id)
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ex_status = False
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break
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del push_r
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else:
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sleep(1)
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except ServiceException as s:
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logger.error("推流进程异常:{}, requestId:{}", s.msg, request_id)
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ex = s.code, s.msg
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except Exception:
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logger.error("推流进程异常:{}, requestId:{}", format_exc(), request_id)
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ex = ExceptionType.SERVICE_INNER_EXCEPTION.value[0], ExceptionType.SERVICE_INNER_EXCEPTION.value[1]
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finally:
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# 关闭推流管, 分析视频写对象
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close_all_p(push_p, None, ai_video_file, request_id)
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if ex:
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code, msg = ex
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put_queue(push_ex_queue, (1, code, msg), timeout=2)
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else:
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if ex_status:
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# 关闭推流的时候, 等待1分钟图片队列处理完，如果1分钟内没有处理完, 清空图片队列, 丢弃没有上传的图片
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c_time = time()
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while time() - c_time < 60:
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if image_queue.qsize() == 0 or image_queue.empty():
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break
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sleep(2)
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for q in [push_queue, image_queue, hb_queue]:
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clear_queue(q)
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logger.info("推流进程停止完成！requestId:{}", request_id)
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