Maziar Entezar

you have to consider your actual classes `+ 1` for `background`. So, in your case, `num_classes` is `2`. Background annotation is not needed in ssd as of negative samples do...

you cannot, as of different channel dimension: `1` for grayscale and `3` for color (rgb/bgr). It's better to train two different models, otherwise you can convert you grayscale images to...

there is also a parameter inside the `transform_param` section of train prototxt. So you can pass grayscale image to SSD network (it automatically converts your grayscale image to color propagating...

make a copy of `train.sh` and rename like `train_resume.sh`. change: `-weights="mobilenet_iter_73000.caffemodel" \` to: `-snapshot="snapshot/mobilenet_iter_XXXX.solverstate" \` where `XXXX` is the iteration number where you stopped previous training. If you don't know...