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load_weights.py
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load_weights.py
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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/yolov3.weights', 'path to weights file')
flags.DEFINE_string('output', 'weights/yolov3.tf', 'path to output')
flags.DEFINE_boolean('tiny', False, 'yolov3 or yolov3-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=FLAGS.num_classes)
yolo.summary()
logging.info('model created')
load_darknet_weights(yolo, FLAGS.weights, FLAGS.tiny)
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(FLAGS.output)
logging.info('weights saved')
if __name__ == '__main__':
try:
app.run(main)
except SystemExit:
pass