# Send frame to global
write_frame_list[worker_id] = frame_process
# Expect next worker to write frame
Global.write_num = next_id(Global.write_num)
if __name__ == '__main__':
# Global variables
Global = Manager().Namespace()
Global.buff_num = 1
Global.read_num = 1
Global.write_num = 1
Global.frame_delay = 0
Global.is_exit = False
read_frame_list = Manager().dict()
write_frame_list = Manager().dict()
# Number of workers (subprocess use to process frames)
worker_num = cpu_count()
# Subprocess list
p = []
# Create a subprocess to capture frames
video_src = 0
p.append(Process(target=capture, args=(read_frame_list, video_src)))
p[0].start()
def realtime_facial_recognize():
#Apparently this fixes something on macOS? I'm not sure why
#but the Face Recognition source code knows more than I do.
if platform.system() == 'Darwin':
set_start_method('forkserver')
#print("Declaring Globals")
#Globals
Global = Manager().Namespace()
Global.buff_num = 1
Global.read_num = 1
Global.write_num = 1
Global.frame_delay = 0
Global.exited = False
read_frame_list = Manager().dict()
write_frame_list = Manager().dict()
#if more than 2, use one to cap frames
if cpu_count() > 2:
w_num = cpu_count() - 1
else:
w_num = 2
#list of subprocesses
p = []
#print("Appending Thread Capture")
p.append(
threading.Thread(target=capture,
args=(read_frame_list, Global, w_num)))
p[0].start()
#print("Appended")
tdogg_image = face_recognition.load_image_file("tdogg.jpg")
tdogg_enc = face_recognition.face_encodings(tdogg_image)[0]
aryan_image = face_recognition.load_image_file("aryan.jpg")
aryan_enc = face_recognition.face_encodings(aryan_image)[0]
ryan_image = face_recognition.load_image_file("ryan.jpg")
ryan_enc = face_recognition.face_encodings(ryan_image)[0]
Global.known_face_encodings = [tdogg_enc, aryan_enc, ryan_enc]
Global.known_face_names = ["T-Dogg", "Aryan Chaudhary", "Ryan Meliti"]
print("Registering Worker Threads")
#register worker threads
for w_id in range(1, w_num + 1):
p.append(
Process(target=process,
args=(w_id, read_frame_list, write_frame_list, Global,
w_num)))
p[w_id].start()
print("Worker Threads Registered")
#show video
last_num = 1
fps_list = []
temp = time.time() #start time
print("starting show")
while not Global.exited:
while Global.write_num != last_num:
last_num = int(Global.write_num)
print("Calc FPS")
#calc fps
delay = time.time() - temp
temp = time.time()
fps_list.append(delay)
if len(fps_list) > 5 * w_num:
fps_list.pop(0)
fps = len(fps_list) / numpy.sum(fps_list)
print("fps: %.2f" % fps)
#Frame delay based on values in facerec_from_webcam_multiprocessing.py
if fps < 6:
Global.frame_delay = (1 / fps) * 0.75
elif fps < 20:
Global.frame_delay = (1 / fps) * 0.5
elif fps < 30:
Global.frame_delay = (1 / fps) * 0.25
else:
Global.frame_delay = 0
#print("Loading Video")
#finally, display the result
cv2.imshow('Video',
write_frame_list[prev_id(Global.write_num, w_num)])
if cv2.waitKey(1) & 0xFF == ord('q'):
Global.exited = True
break
time.sleep(0.01)
v_capture.release()
cv2.destroyAllWindows()