Markerless Biomechanics

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   I managed to traina neural network to properly place markers on a horse at the walk. I trained the network on 50 different horses using different light, horse color, ages, etc and the average error rate was just 9 pixels so it was very accurate in learning where to place the markers.

Here is a video I took of the Breeders Cup winner Accelerate on the left with the markers placed by the algorithm on the right.

And here is one that I downloaded from Twitter of Zoustar and had the algorithm mark up.

Markerless Biomechanics

Pretraining boosts out-of-domain robustness for pose estimation - https://arxiv.org/abs/1909.11229

Pretraining boosts out-of-domain robustness for pose estimation - https://arxiv.org/abs/1909.11229