zfs1993

question about the model size,why the size of model i trained is 240m,but the pretrained model is only 93m?

1

i follow the guide https://github.com/davidsandberg/facenet/wiki/Classifier-training-of-inception-resnet-v1 nohup /opt/app/anaconda3/bin/python -u src/train_softmax.py --logs_base_dir ./logs/facenet/ --models_base_dir /opt/app/OCR/face_mobile/facenet-master/models/facenet --data_dir /opt/app/OCR/face-for-test/celeb_clean_align_mtcnn_182 --image_size 160 --batch_size 90 --model_def models.inception_resnet_v1 --lfw_dir /opt/app/OCR/face-for-test/lfw_mtcnnpy_160 --lfw_pairs /opt/app/OCR/face_mobile/facenet-master/data/pairs.txt --optimizer ADAM --learning_rate -1 --max_nrof_epochs...

i add these code to set the gpu fraction, the yolo part (yolo.py) class YOLO(object): def __init__(self): self.model_path = 'model_data/yolo.h5' #self.model_path = 'model_data/yolo_tiny.h5' self.anchors_path = 'model_data/yolo_anchors.txt' self.classes_path = 'model_data/coco_classes.txt' self.score...

i transfer it to pb,when i run it in java it encouter problems. i try the model facenet with pb file and success.so i am confused that weather docface model...

problem on changing the model to inception_resnet_v2

2

i change the model to inception_resnet_v2,and didnt change any other thing ,used the default parameters,it gets divergent