mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-14 12:17:55 +00:00
40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
from scipy import misc
|
|
import sys
|
|
import os
|
|
import argparse
|
|
import tensorflow as tf
|
|
import numpy as np
|
|
import mxnet as mx
|
|
import random
|
|
import cv2
|
|
import sklearn
|
|
from sklearn.decomposition import PCA
|
|
from time import sleep
|
|
from easydict import EasyDict as edict
|
|
|
|
parser = argparse.ArgumentParser(description='face model slim')
|
|
# general
|
|
parser.add_argument('--model', default='../models/model-r34-amf/model,60', help='path to load model.')
|
|
args = parser.parse_args()
|
|
|
|
_vec = args.model.split(',')
|
|
assert len(_vec)==2
|
|
prefix = _vec[0]
|
|
epoch = int(_vec[1])
|
|
print('loading',prefix, epoch)
|
|
sym, arg_params, aux_params = mx.model.load_checkpoint(prefix, epoch)
|
|
all_layers = sym.get_internals()
|
|
sym = all_layers['fc1_output']
|
|
dellist = []
|
|
for k,v in arg_params.iteritems():
|
|
if k.startswith('fc7'):
|
|
dellist.append(k)
|
|
for d in dellist:
|
|
del arg_params[d]
|
|
mx.model.save_checkpoint(prefix, 0, sym, arg_params, aux_params)
|
|
|