Is there any more detailed object detection tutorials about faster rcnn?

marsggbo: <p>I only find one tutorial: <a href="https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html#wrapping-up" rel="nofollow noopener">https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html#wrapping-up</a><br>
But there are many details not covered, hence I wonder is there any more detailed object detection tutorials about faster rcnn?</p>

DerekGloudemans: <p>This is not a perfect solution, but at one point I went through most of the code for Faster RCNN  from pytorch and added comments to help me figure out what was going on. You can seen them on github: <a href="https://github.com/DerekGloudemans/torchvision-detection-clone" rel="nofollow noopener">https://github.com/DerekGloudemans/torchvision-detection-clone</a>. I’d also recommend reading the NIPS paper for a better understanding of what’s going on. In general, if you’re interested in learning about object detection as a whole there are many resources, but if you are interested in learning the finer working details of FasterRCNN diving into the code is probably the way to go.</p>

PatrickB: <p>Have a look here, this introduces and explains some of the basic concepts for object detection, image classification, or image similarity / image retrieval: <a href="https://github.com/microsoft/computervision-recipes/tree/master/scenarios/detection" rel="noopener nofollow ugc">link</a></p>
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