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luizgh / sigver

Signature verification package, for learning representations from signature data, training user-dependent classifiers.
BSD 3-Clause "New" or "Revised" License
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Issue about using WD classifier and running test.py #12

Closed SafiaBahria closed 5 years ago

SafiaBahria commented 5 years ago

Hello, I am a Phd scholar and I am working on signarure verification. I am trying ti execute your code and want to see how you have computed the EER for all the runs/folds of data. When i run test.py in wd folder i get the following error. usage: test.py [-h] -m {signet,signet_thin,signet_smaller} --model-path MODEL_PATH --data-path DATA_PATH [--save-path SAVE_PATH] [--input-size INPUT_SIZE INPUT_SIZE] [--exp-users EXP_USERS EXP_USERS] [--dev-users DEV_USERS DEV_USERS] [--gen-for-test GEN_FOR_TEST] [--forg-from_exp FORG_FROM_EXP] [--forg-from_dev FORG_FROM_DEV] [--svm-type {rbf,linear}] [--svm-c SVM_C] [--svm-gamma SVM_GAMMA] [--gpu-idx GPU_IDX] [--batch-size BATCH_SIZE] [--folds FOLDS] test.py: error: the following arguments are required: -m, --model-path, --data-path An exception has occurred, use %tb to see the full traceback.

SystemExit: 2 Can you please guied me what is the solution of this. Moreover I want to use your eer_user_threshold function in my own implementation. Fot that I need to compute eer for each user and then compute overall EER for each fold/run???

luizgh commented 5 years ago

Hello @SafiaBahria . Please see the Readme (https://github.com/luizgh/sigver/blob/master/README.md) for an example of how to run the system. For the test, you need both a trained model (e.g. one of the models I trained on GPDS) and a dataset.