gamedetect is a simple API that uses a trained neural network to identify games that are within the top 100 currently on Twitch (as of March 2019). The full list of supported games can be seen here. The network is trained using retrain.py which uses InceptionV3 as a pre-trained network. Honestly I'm still at the point where I have no idea what the hell I'm talking about so please bear with me.
Start a container with the gamedetect API running by running
docker run -e DEMO=true -p 8080:8080 s32x/gamedetect
http://localhost:8080 will provide a visual demonstration)
Then, send a POST request with a (relatively clear) game screenshot (one in the supported list) in the "image" field of a form to localhost:8080.
curl -X POST http://localhost:8080 -F image=@MY_GAME_SCREENSHOT.png
Excited yet? I sure am! gamedetect is a fun project I've been playing with in my free time to learn about Computer Vision, Neural Networks, and Tensorflow. It's sort of my own hello world app that also could potentially serve a real use-case on Twitch or any other streaming platform that requires broadcasters to categorize their stream. That being said, I'm still very much a beginner to all of this and I'm sure I'm doing a number of things wrong - feel free to let me know in the issues if you'd like.
NOTE: The public API is currently just for demonstration purposes. It's recommended to utilize the below Docker image if you're interested in higher performance on your own machine/s.
Running with Docker
To start using gamedetect via Docker, install Docker and run
docker run -p 8080:8080 s32x/gamedetect
This will retrieve the remote DockerHub image and start the service on port 8080.
The included trained graph is constantly being tweaked and retrained with new datasets as I learn more about what works and what doesn't. Your results likely won't be perfect however I'm constantly working on improving them!
The BSD 3-clause License
Copyright (c) 2019, Steven Wolfe. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of gamedetect nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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