tutor.cards needs input
Posted: 07 May 2017, 11:28
Hi everyone.
I'm the developer who made the tutor.cards website and the API for visual card search that MTG Familiar android app uses.
I'm thing about releasing a docker image of the API so developers can use visual search out of the box to create their own apps.
If you're not familiar with the service it's basically this: image in -> most likely card info out.
Currently a traditional computer vision methods for fast image search in a large database is used. That equals about 8GB of total memory used. That's a lot for a normal user. Fortunately I'm working on a convolutional neural network based solution that will drastically reduce the memory needed. It's not there yet but soon (Accuracy is still low).
What features would you expect?
I'm the developer who made the tutor.cards website and the API for visual card search that MTG Familiar android app uses.
I'm thing about releasing a docker image of the API so developers can use visual search out of the box to create their own apps.
If you're not familiar with the service it's basically this: image in -> most likely card info out.
Currently a traditional computer vision methods for fast image search in a large database is used. That equals about 8GB of total memory used. That's a lot for a normal user. Fortunately I'm working on a convolutional neural network based solution that will drastically reduce the memory needed. It's not there yet but soon (Accuracy is still low).
What features would you expect?