Used tensorflowjs to detect a goal formed by the player's hands. #1
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The software will evaluate every object in the scene and determine which ones are goals. After that, it will pick only one based on probability (getting most likely to be a goal) and will render a square outline on it. file: public/model_web/group1-shard1of2.bin --binary file containing the trained model file: public/model_web/group1-shard2of2.bin --binary file containing the trained model file: public/model_web/model.json -- json file containing the trained model
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The software will evaluate every object in the scene and determine which ones are goals.
After that, it will pick only one based on probability (getting most likely to be a goal) and will render a square outline on it.
file: public/model_web/group1-shard1of2.bin --binary file containing the trained model
file: public/model_web/group1-shard2of2.bin --binary file containing the trained model
file: public/model_web/model.json -- json file containing the trained model