Comments (1)
Hi @deeperdeeper
The idea is that we sort visible persons by area - we got this information from the annotations. We skip a person if the distance to the previous one (in this sorted list) is too small. The COCO dataset contains keypoints of persons with quite a large scale difference, which is not handled well by the model. Taking only the most significant person in the image is the easiest simplification. Of course, there is an option to upscale other persons to reduce the problem of scale difference. I didn’t explore this path yet, but the code is ready for an additional preprocessing for each person in the image.
from keras_realtime_multi-person_pose_estimation.
Related Issues (20)
- keypoints out off the crop HOT 2
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from keras_realtime_multi-person_pose_estimation.