stereolabs/zed-pytorch

train on custom dataset

SantiDiazC opened this issue · 1 comments

Hi I'm working on a deep reinforcement project using mask Rcnn algorithm. Previously I used the tensorflow object detection api example provided in the documentation to train on my custom dataset. However, I decided to move to pytorch so I wondered if there is a tutorial or documentation on how to set the mask Rcnn algorithm provided here on your custom dataset. thanks in advance.

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