En los ejemplos que nos muestra para implementar un modelo de deteccion de objetos en python, ¿A cuantos fotogramas (fps) esta configurado por defecto?
#!/usr/bin/env python
import device_patches # Device specific patches for Jetson Nano (needs to be before importing cv2)
import cv2
import os
import sys, getopt
import signal
import time
from edge_impulse_linux.image import ImageImpulseRunner
runner = None
# if you don't want to see a camera preview, set this to False
show_camera = True
if (sys.platform == 'linux' and not os.environ.get('DISPLAY')):
show_camera = False
def now():
return round(time.time() * 1000)
show original
louis
July 15, 2022, 8:06am
#2
Hola @Blechon ,
Limitamos el número de FPS a 10 pero puedes cambiar eso aquí:
print('Found %d bounding boxes (%d ms.)' % (len(res["result"]["bounding_boxes"]), res['timing']['dsp'] + res['timing']['classification']))
for bb in res["result"]["bounding_boxes"]:
print('\t%s (%.2f): x=%d y=%d w=%d h=%d' % (bb['label'], bb['value'], bb['x'], bb['y'], bb['width'], bb['height']))
img = cv2.rectangle(img, (bb['x'], bb['y']), (bb['x'] + bb['width'], bb['y'] + bb['height']), (255, 0, 0), 1)
if (show_camera):
cv2.imshow('edgeimpulse', cv2.cvtColor(img, cv2.COLOR_RGB2BGR))
if cv2.waitKey(1) == ord('q'):
break
next_frame = now() + 100
finally:
if (runner):
runner.stop()
if __name__ == "__main__":
main(sys.argv[1:])
Saludos,
Louis