Improved metrics logging and added early stopping. Added robot vs reid project differentiation.
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Improved metrics logging and added early stopping. Added robot vs reid project differentiation.
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Developed a CLI for easier training and testing for robot detection and re-identification models. Integrated W&B for hyperparameter tuning, and automated sweeps.
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Updated configurations for training and tracking
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Made it more interactive. A triangle now follows the cursor and you can change the size with your scroll wheel.
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Using winit and softbuffer to create a window, edit the buffer, and display. Create create simple shaders, draw lines, and draw circles.
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I trained a new model with more epochs and a large YOLO model then tested it on both tracking systems
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Trained a YOLO model for robot detection using labels from roboflow. Then tested different tracking methods (bytetrack, botsort).
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