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VGG Deep Face in python
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import caffe | |
import numpy as np | |
# http://stackoverflow.com/questions/33828582/vgg-face-descriptor-in-python-with-caffe | |
img = caffe.io.load_image( "ak.png" ) | |
img = img[:,:,::-1]*255.0 # convert RGB->BGR | |
avg = np.array([129.1863,104.7624,93.5940]) | |
img = img - avg # subtract mean (numpy takes care of dimensions :) | |
img = img.transpose((2,0,1)) | |
img = img[None,:] # add singleton dimension | |
net = caffe.Net("VGG_FACE_deploy.prototxt","VGG_FACE.caffemodel", caffe.TEST) | |
out = net.forward_all( data = img ) | |
caffe_fc8 = net.blobs['fc8'].data[0] | |
r2 = np.argmax(caffe_fc8) | |
names = open('names.txt') | |
names = names.readlines() | |
print names[r2] |
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