Comments (16)
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@davisking I'm also interested if you're willing to release the dataset. In any case, I understand that it involved a lot of work.
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You can use the trillion faces or ms celeb datasets. They are already available and very large.
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Davis, is there a python API for training your own model? Thank you, sir! Dlib is amazing.
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No
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@davisking , I don't know how to train my dlib_face_recognition_resnet_model_v1 model, can you give me some methods!
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This example program goes into the details: http://dlib.net/dnn_metric_learning_on_images_ex.cpp.html
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@davisking Just to be sure, is that C++ code the one used to train this model? I'd like to transfer learn on my own dataset and want to be sure I'm starting from the right place
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Also we’re rhe input images aligned centered cropped etc or just resized to 150x150 with a crop from a face finding model? Also be helpful to know this just in terms of using the base model - I see the sample code that uses it does this so I presume it was trained that way As well
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The notes on how this model was trained are in the example program that shows how to use it: http://dlib.net/dnn_face_recognition_ex.cpp.html
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You could copy the layer parameters into a network with batch norm layers and go in and manually fill in the missing batch norm parameters with something reasonable.
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Does anyone build the dlib_face_recognition_resnet_model_v1.dat with custom dataset? If Yes, Please share the method. Thanks in Advance.
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I tried Loading a custom dataset and successfully made the resnet .dat file but I'm getting this error. ERROR: Unexpected version found while deserializing dlib::input_rgb_image_sized. Please refer to the issue link given below for more detials on this error.
davisking/dlib#2598
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Related Issues (20)
- Would you be interested in a pretrainted ResNet50? HOT 3
- Trained HOG detector, but variation(jitter and shake) in bounding box output result.
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- How to use dnn_gender_classifier_v1.dat in Python? HOT 4
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- dlib_face_recognition_resnet_model_v1.dat dataset HOT 1
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