mirror of
https://github.com/serengil/deepface.git
synced 2025-06-09 12:57:08 +00:00
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
from deepface.basemodels import VGGFace
|
|
import os
|
|
from pathlib import Path
|
|
import gdown
|
|
import numpy as np
|
|
|
|
from deepface.commons import functions
|
|
|
|
import tensorflow as tf
|
|
tf_version = int(tf.__version__.split(".")[0])
|
|
|
|
if tf_version == 1:
|
|
from keras.models import Model, Sequential
|
|
from keras.layers import Convolution2D, Flatten, Activation
|
|
elif tf_version == 2:
|
|
from tensorflow.keras.models import Model, Sequential
|
|
from tensorflow.keras.layers import Convolution2D, Flatten, Activation
|
|
|
|
#url = 'https://drive.google.com/uc?id=1wUXRVlbsni2FN9-jkS_f4UTUrm1bRLyk'
|
|
|
|
|
|
def loadModel(url = 'https://github.com/serengil/deepface_models/releases/download/v1.0/gender_model_weights.h5'):
|
|
|
|
model = VGGFace.baseModel()
|
|
|
|
#--------------------------
|
|
|
|
classes = 2
|
|
base_model_output = Sequential()
|
|
base_model_output = Convolution2D(classes, (1, 1), name='predictions')(model.layers[-4].output)
|
|
base_model_output = Flatten()(base_model_output)
|
|
base_model_output = Activation('softmax')(base_model_output)
|
|
|
|
#--------------------------
|
|
|
|
gender_model = Model(inputs=model.input, outputs=base_model_output)
|
|
|
|
#--------------------------
|
|
|
|
#load weights
|
|
|
|
home = functions.get_deepface_home()
|
|
|
|
if os.path.isfile(home+'/.deepface/weights/gender_model_weights.h5') != True:
|
|
print("gender_model_weights.h5 will be downloaded...")
|
|
|
|
output = home+'/.deepface/weights/gender_model_weights.h5'
|
|
gdown.download(url, output, quiet=False)
|
|
|
|
gender_model.load_weights(home+'/.deepface/weights/gender_model_weights.h5')
|
|
|
|
return gender_model
|
|
|
|
#--------------------------
|