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Not trained by me. These are the published weights from yastrebksv/TrackNet, mirrored here so a deployment can pull every weight my tennis pipeline needs from one place. All credit for the model and its training belongs to the original author.
BallTrackerNet, 10.7M parameters. A VGG-style encoder with a deconv decoder -
a CNN, not a transformer. It takes three consecutive frames stacked into 9
channels at 360x640 and outputs a per-pixel classification over 256 intensity
levels; the ball is the argmax.cv2.HoughCircles, and take the circle
nearest the previous frame's ball. That uses blob shape and the fact that a
ball cannot teleport.