load_weights.py

from absl import app, flags, logging
from absl.flags import FLAGS
import numpy as np
from yolov3_tf2.models import YoloV3, YoloV3Tiny
from yolov3_tf2.utils import load_darknet_weights

# flags.DEFINE_string('weights', 'weights/yolov4.weights', 'path to weights file')
# flags.DEFINE_string('output', 'weights/yolov4.tf', 'path to output')
# flags.DEFINE_boolean('tiny', False, 'yolov4 or yolov4-tiny')
# flags.DEFINE_integer('num_classes', 80, 'number of classes in the model')


def main(_argv):
    # if FLAGS.tiny:
    #     yolo = YoloV3Tiny(classes=FLAGS.num_classes)
    # else:
    yolo = YoloV3(classes=80)
    yolo.summary()
    logging.info('model created')

    load_darknet_weights(yolo, 'weights/yolov3.weights')
    logging.info('weights loaded')

    img = np.random.random((1, 320, 320, 3)).astype(np.float32)
    output = yolo(img)
    logging.info('sanity check passed')

    yolo.save_weights('weights/yolov3.tf')
    logging.info('weights saved')

if __name__ == '__main__':
    try:
        app.run(main)
    except SystemExit:
        pass