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main_optimized.py
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main_optimized.py
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from time import sleep, time
from multiprocessing import Process, Queue
import hydra
from tqdm import tqdm
from nodes.VideoReader import VideoReader
from nodes.ShowNode import ShowNode
from nodes.VideoSaverNode import VideoSaverNode
from nodes.DetectionTrackingNodes import DetectionTrackingNodes
from nodes.TrackerInfoUpdateNode import TrackerInfoUpdateNode
from nodes.CalcStatisticsNode import CalcStatisticsNode
from nodes.SendInfoDBNode import SendInfoDBNode
from nodes.FlaskServerVideoNode import VideoServer
from elements.VideoEndBreakElement import VideoEndBreakElement
PRINT_PROFILE_INFO = False
def proc_frame_reader_and_detection(queue_out: Queue, config: dict, time_sleep_start: int):
sleep_message = f"Система разогревается.. sleep({time_sleep_start})"
for _ in tqdm(range(time_sleep_start), desc=sleep_message):
sleep(1)
video_reader = VideoReader(config["video_reader"])
detection_node = DetectionTrackingNodes(config)
for frame_element in video_reader.process():
ts0 = time()
frame_element = detection_node.process(frame_element)
ts1 = time()
queue_out.put(frame_element)
if PRINT_PROFILE_INFO:
print(
f"PROC_FRAME_READER_AND_DETECTION: {(time()-ts0) * 1000:.0f} ms: "
+ f"detection_node {(ts1-ts0) * 1000:.0f} | "
+ f"put {(time()-ts1) * 1000:.0f}"
)
if isinstance(frame_element, VideoEndBreakElement):
break
def proc_tracker_update_and_calc(queue_in: Queue, queue_out: Queue, config: dict):
tracker_info_update_node = TrackerInfoUpdateNode(config)
calc_statistics_node = CalcStatisticsNode(config)
send_info_db = config["pipeline"]["send_info_db"]
if send_info_db:
send_info_db_node = SendInfoDBNode(config)
while True:
ts0 = time()
frame_element = queue_in.get()
ts1 = time()
frame_element = tracker_info_update_node.process(frame_element)
frame_element = calc_statistics_node.process(frame_element)
if send_info_db:
frame_element = send_info_db_node.process(frame_element)
ts2 = time()
queue_out.put(frame_element)
if PRINT_PROFILE_INFO:
print(
f"PROC_TRACKER_UPDATE_AND_CALC: {(time()-ts0) * 1000:.0f} ms: "
+ f"get {(ts1-ts0) * 1000:.0f} | "
+ f"nodes_inference {(ts2-ts1) * 1000:.0f} | "
+ f"put {(time()-ts2) * 1000:.0f}"
)
if isinstance(frame_element, VideoEndBreakElement):
break
def proc_show_node(queue_in: Queue, config: dict):
show_node = ShowNode(config)
save_video = config["pipeline"]["save_video"]
show_in_web = config["pipeline"]["show_in_web"]
if save_video:
video_saver_node = VideoSaverNode(config["video_saver_node"])
if show_in_web:
video_server_node = VideoServer(config)
while True:
ts0 = time()
frame_element = queue_in.get()
ts1 = time()
frame_element = show_node.process(frame_element)
if save_video:
video_saver_node.process(frame_element)
if show_in_web:
if isinstance(frame_element, VideoEndBreakElement):
break
video_server_node.update_image(frame_element.frame_result)
ts2 = time()
if PRINT_PROFILE_INFO:
print(
f"PROC_SHOW_NODE: {(time()-ts0) * 1000:.0f} ms: "
+ f"get {(ts1-ts0) * 1000:.0f} | "
+ f"show_node {(ts2-ts1) * 1000:.0f} | "
+ f"put {(time()-ts2) * 1000:.0f}"
)
if isinstance(frame_element, VideoEndBreakElement):
break
@hydra.main(version_base=None, config_path="configs", config_name="app_config")
def main(config) -> None:
time_sleep_start = 5
queue_frame_reader_and_detect_out = Queue(maxsize=50)
queue_track_update_out = Queue(maxsize=50)
processes = [
Process(
target=proc_frame_reader_and_detection,
args=(queue_frame_reader_and_detect_out, config, time_sleep_start),
name="proc_frame_reader_and_detection",
),
Process(
target=proc_tracker_update_and_calc,
args=(queue_frame_reader_and_detect_out, queue_track_update_out, config),
name="proc_tracker_update_and_calc",
),
Process(
target=proc_show_node,
args=(queue_track_update_out, config),
name="proc_show_node",
),
]
for p in processes:
p.daemon = True
p.start()
# Ждем, пока последний процесс завершится
processes[-1].join()
if __name__ == "__main__":
ts = time()
main()
print(f"\n total time: {(time()-ts) / 60:.2} minute")