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License: Apache License 2.0
That is very simple!!!
This is very similar to that of Image Classification Modules with the only difference being that module doesn’t include the final dense classification layer.
tensorflow hub and keras have image clustering:
tensorflow hub에서 제공하는 모델이 아닌, 우리가 fine tunning 시킨 inception_resnet_v2 모델에서 baseline code 중 extract_features.py 를 사용하여 feature vector를 뽑아내기 위한 문제.
input 부분에서 decodeJPEG tensor 가 필요한데 찾을 수 없음.
branch: triplet
It is base line code for using triplet loss.
ref: http://krasserm.github.io/2018/02/07/deep-face-recognition/
ref: openface
slim 의 inception _resnet_v2 모델에서 'AvgPool' layer 이전의 layer를 학습키기 위한 문제.
train 시키고자 하는 layer의 node name을 찾아서 train option으로 넣어주어야 한다.
GPU PC에서 train 시킬 때 위와 같은 오류가 발생함.
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