class DETECT_Thread(QThread):
def __init__(self):
super().__init__()
self.detector = FaceDet(register=True)
self.running = True
def run(self):
global im, text
while True:
if not self.running:
return
if not im is None:
if not text is None:
self.detector.regist(im,text)
text=None
class DETECT_Thread(QThread):
def __init__(self):
super().__init__()
self.task = None
self.detector = FaceDet()
self.running = True
def run(self):
global im, result
while True:
if not self.running:
return
if not im is None:
if self.task == 'rec':
result = self.detector.detect_and_recognition(im)
elif self.task == 'det':
result = self.detector.detect_only(im)
else:
result = None
sleep(0.2)
def __init__(self):
super().__init__()
self.detector = FaceDet(register=True)
self.running = True
import numpy as np
import argparse
import sys
import cv2
import os
from func.facenet import FaceDet
if __name__ == '__main__':
cap = cv2.VideoCapture('./src.flv')
det = FaceDet()
video_width = int(cap.get(3))
video_height = int(cap.get(4))
fps = int(cap.get(5))
# fps = 15
print(fps)
fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') #opencv3.0
videoWriter = cv2.VideoWriter('dst.mp4', fourcc, fps, (533, 300))
while True:
_, frame = cap.read()
if frame is None:
break
# frame = det.detect_and_recognition(frame)
frame = det.detect_and_recognition(frame)
cv2.imshow('a', frame)
videoWriter.write(frame)
if cv2.waitKey(10) & 0xFF == ord('q'):
def __init__(self):
super().__init__()
self.task = None
self.detector = FaceDet()
self.running = True