facenet模型转换

sunkai 发表于 2021-4-2 14:08
论坛上关于facenet转换的帖子太少，只好发帖求助了

from rknn.api import RKNN

INPUT_SIZE = 160

if __name__ == '__main__':
    # Create RKNN object
    rknn = RKNN(verbose=False, verbose_file='./test1.log')

    # Config for Model Input PreProcess
    rknn.config(channel_mean_value='0 0 0 1', reorder_channel='0 1 2',target_platform=['rv1126'])
    print('config done')

    # load tensorflow model
    print('--> Loading model')
    rknn.load_tensorflow(tf_pb='./pretrainedmodel/20180402-114759/20180402-114759.pb',
                         # inputs=['input', 'phase_train'],
                         inputs=['input'],
                         outputs=['InceptionResnetV1/Bottleneck/BatchNorm/Reshape_1'],
                         input_size_list=[[INPUT_SIZE, INPUT_SIZE, 3]])
    print('done')

    # Build Model
    print('--> Building model')
    # rknn.build(do_quantization=False,do_quantization=True, dataset='dataset.txt')
    rknn.build(do_quantization=False)
    print('done')

    # Export RKNN Model
    rknn.export_rknn('./facenet_Reshape_1.rknn')

    rknn.release()


我这个成功了