Removing rotation estimation decreases accuracy #18
Comments
what do you mean "when the rotation is predicted". It's predicted in both cases. which is evident looking at the bounding boxes. |
So if you look here, you'll notice that I pick the detection with the largest bounding box. |
check out the new |
I've opened a clean new issue for this problem. |
I used the code in the current master branch to predict the bbox and joints for an image:
Works as well as expected.
Then I used the
hand_tracker2
code in the other branch, which supports multiple hands detection and joints prediction, and got this:Notice that the second hand from right (the one detected in both tests) - seems to get better joints prediction when the rotation is predicted.
I'm not sure if there is any other thing going on here, or if this is just a bad, sample size of 1 example, but should be taken into consideration.
Code:
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