# Eliminar fondo de la imagen a color frame = FC.EliminarFondo(frame, profundidad, clipping_distance, 153) # Eliminamos fondo # Iniciar a contar tiempo para contar FPS start_time = time.time() # Convertir a float32 para TF batch_data = tf.constant(FC.PreprocessToTF(frame)) # Crear preicciones pred_bbox = infer(batch_data) # obtener configuracion de cuadros boxes, pred_conf = FC.ConfigurarCuadro(pred_bbox) boxes, scores, classes, valid_detections = tf.image.combined_non_max_suppression( boxes=tf.reshape(boxes, (tf.shape(boxes)[0], -1, 1, 4)), scores=tf.reshape( pred_conf, (tf.shape(pred_conf)[0], -1, tf.shape(pred_conf)[-1])), max_output_size_per_class=50, max_total_size=50, ) pred_bbox = [ boxes.numpy(), scores.numpy(), classes.numpy(), valid_detections.numpy() ]