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Aftaab99 / OfflineSignatureVerification

Writer independent offline signature verification using convolutional siamese networks
MIT License
84 stars 29 forks source link

Working Implementation ? #2

Closed Pravesh001 closed 5 years ago

Pravesh001 commented 5 years ago

I’m not sure how to implement this project in working. I checked the help docs (Readme.md) and didn’t find any mentions.

Aftaab99 commented 5 years ago

The project is working, there are steps in the README with commands to download the pre-trained model and dataset, and then start the web server for the demo. I'll write the commands here again in case your having trouble.

Setting up locally

Download the dependencies(for conda users)

conda env create -f projenv.yml

They can be installed using pip via

pip install -r requirements.txt

Then download the pretrained model and dataset

python DownloadData.py

After setting the environment and downloading the pre-trained model, start the web server using

python main.py

The demo starts at port 5000. Links to upload and verification page are under the menu.

I didn't quite understand what you meant by 'in working' but if you want to use the pre-trained model for inference, you'll need to find a threshold value which gives the best accuracy and then have the model predict true or false if the Euclidean distance between the two feature vectors is greater or lesser than the threshold respectively. You can look into Test.py as to how to do all this.

Aftaab99 commented 5 years ago

Closing this issue. Reopen it if you please, in case they are any mistakes in the implementation.

Pravesh001 commented 5 years ago

Thanks for your response and help. I'm clear now.

On Wed, Apr 3, 2019, 8:00 PM Aftaab Zia notifications@github.com wrote:

Closing this issue. Reopen it if you please, in case they are any mistakes in the implementation.

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