av-savchenko / hse_facerec_tf Goto Github PK
View Code? Open in Web Editor NEWTensorflow/Keras small models for face recognition, ag/gender prediction from images
License: Apache License 2.0
Tensorflow/Keras small models for face recognition, ag/gender prediction from images
License: Apache License 2.0
@HSE-asavchenko Can a different face detector be used instead of mtcnn?
Hello, I read your article which led me here.
Because at the repo of efficientNet they have graphic which shows their B6, B7 models as far superior to the ResNets in both inference performance and precision, I begun wondering whether this is true. Since you have FaceRec, based on both models, it is interesting how do they compare in your implementation.
I saw that ResNet50 gave you best results for Face identification accuracy, but no results in the "fast-image-recognition" repo are published. Also while I haven't read the code yet, I wonder whether the embedding feature vectors are of the same size and what size did you choose.
Thanks !
Hi,
I have been working on trying to understand the steps for training and obtaining my model for - age_gender_tf2_224_deep-03-0.13-0.97.pb
I followed a previously asked question - #2 (comment)
mentioning the two scripts - facerec_keras_train.py and age_gender_train.py. As per my understanding, the following two step training process is required :
Is my understanding correct?
Also another issue I am facing is - I haven't been able to download VGGFace2 Dataset. While I came across VGGFace2 HQ repo so I have downloaded these - https://github.com/NNNNAI/VGGFace2-HQ but would training on these give a different model backbone model?
Thank you so much in advance!!
How do I train vggface2 and get my own pre model?
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