I have read that YOLO, Retina with Resnet, SSD, etc can do Object Detection.
Now I struggle Implementing these from scratch, so I wonder if it is possible to re train some implementation of these from Pytorch, but with a new dataset not included in the pre-trained classes.
I am looking for some NNs that would run in not so powerful devices, so light ones.
But I am trying to find a small model like tiny yolo or any ssd mobile net that does object detection, is this feasible as well? I dont really see anything similar in the docs, after days reading the all other websites as well. @ptrblck
I believe it was planned and discussed here but it seems the author is busy with other work:
The only bad news for us is that I transferd to a new work group and my new leader only allow me to share only a half day per week to complete this job. So it might takes me more time than expected.