# 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()
]
