detect.py 文件源码

def main():
    model = config.get('config', 'model')
    yolo = importlib.import_module('model.' + model)
    width = config.getint(model, 'width')
    height = config.getint(model, 'height')
    with tf.Session() as sess:
        image = tf.placeholder(tf.float32, [1, height, width, 3], name='image')
        builder = yolo.Builder(args, config)
        builder(image)
        global_step = tf.contrib.framework.get_or_create_global_step()
        model_path = tf.train.latest_checkpoint(utils.get_logdir(config))
        tf.logging.info('load ' + model_path)
        slim.assign_from_checkpoint_fn(model_path, tf.global_variables())(sess)
        tf.logging.info('global_step=%d' % sess.run(global_step))
        path = os.path.expanduser(os.path.expandvars(args.path))
        if os.path.isfile(path):
            detect(sess, builder.model, builder.names, image, path)
            plt.show()
        else:
            for dirpath, _, filenames in os.walk(path):
                for filename in filenames:
                    if os.path.splitext(filename)[-1].lower() in args.exts:
                        _path = os.path.join(dirpath, filename)
                        print(_path)
                        detect(sess, builder.model, builder.names, image, _path)
                        plt.show()