Integretion of YoloV5 as possible pose estimation model #4
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…not optimizing anymore
…fferently to hopefully keep gradient
…and transfered function inside patch_placement
… is NOT 'nearest'
…pted range for inital random initialization of position
…targets with each job
--edits for merge--
--edit for merge--
--edit for merge--
--edit for merge--
--edit for merge--
--edit for merge--
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Main contribution by @natalieh235.
(This PR includes #1 and #2)
Natalie's code can now be called within src/attacks.py without breaking compatibility with Frontnet.
Instead of predicting the pose of the human in the camera images with PULP-Frontnet, the same can now be achieved with YoloV5.