def main_loop():
frame, face_data = acquire_frame(detector, embedder, vs, recognizer, le,
0.5, 0.65)
for item in face_data:
frame = draw_frame(frame, item)
show_frame(frame)
def main_core(detector, embedder, recognizer, le, frame_queue, pframe_queue):
print('[INFO] Starting:', mp.current_process().name)
# time.sleep(1.0)
# initialize the video stream, then allow the camera sensor to warm up
## Set Threding to start filming
video_getter = VideoGet(frame_queue=frame_queue,
src=0,
name='Video Getter')
time.sleep(1.0)
# print('[INFO] Starting VideoGet...')
video_getter.start()
time.sleep(1.0)
cpt = 0
exitbool = False
fps_count = FPS(2).start()
while True:
frame = video_getter.frame.copy()
fps_count.istime(
) # Calculate if enough time has passed for process the frame
if fps_count.boolFrames:
fps_count.updateactualtime() # Update the comparison time
face_data = acquire_frame(detector, embedder, frame, recognizer,
le, 0.5, 0.65) #,fa)
pframe_queue.put(face_data)
for item in face_data:
# print(item[2:])
frame = draw_frame(frame, item)
fps_count.update()
# cpt +=1
exitbool = show_frame(frame)
if exitbool or cpt == 80:
#
fps_count.stop()
print("[INFO] elasped time fps processed: {:.2f}".format(
fps_count.elapsed()))
print("[INFO] approx. processed FPS: {:.2f}".format(
fps_count.fps()))
time.sleep(1)
video_getter.stop()
time.sleep(2)
print('[INFO] Exiting :', mp.current_process().name)
break
## Set ffmeg instance
pathIn= './videorecordings/'
# pathIn = './videorecordings/' + str(datetime.datetime.now().hour) + '/'
## REVISAR SI HAY UN FORMATO QUE SEA MAS COMPRIMIMDO
pathOut = '/video_v1.avi'
fps = 25
SV = SaveVideo(name='VideoWriter', vg=video_getter, pathIn=pathIn, pathOut=pathOut, fps=fps, encode_quality=95)
print('[INFO] Starting saving Video...')
SV.start()
cpt=0;
fps_count = FPS().start()
while True:
frame = video_getter.frame.copy()
time.sleep(1)
fps_count.update()
exitbool = show_frame(frame)
# cpt += 1
if exitbool or cpt > 100:
SV.stop()
fps_count.stop()
print("[INFO] elasped time fps processed: {:.2f}".format(fps_count.elapsed()))
print("[INFO] approx. processed FPS: {:.2f}".format(fps_count.fps()))
time.sleep(1)
video_getter.stop()
# db_client.close()
break
print('Prepare imagen')
input('Presione cualquier boton')
for j in range(4):
for i in range(frames_per_person):
frame = video_getter.frame.copy()
#frame = imutils.resize(frame, width=500)
detections = get_faces(detector, embedder, sp, frame,
confianza_dec, fa)
#[(face,vector,coordenada,imagen_completa)]
face_data = [(*face,
*recognize(face[1], recognizer, le, confianza_recon))
for face in detections]
#[(face,vector,coordenada,imagen_completa, nombre, prob)]
for item in face_data:
print(item[4])
if item[4] == name:
Coincidencias += 1
Caras += 1
show_frame(frame)
fps_count.update()
input('Cambio de foto')
calculos[name] = (Coincidencias, Caras)
print(calculos)
fps_count.stop()
print("[INFO] elasped time fps processed: {:.2f}".format(fps_count.elapsed()))
print("[INFO] approx. processed FPS: {:.2f}".format(fps_count.fps()))
time.sleep(1)
video_getter.stop()
