HI, I am trying to do the bounding box classifier as a regression problem the way Jeremy did in Part 2 of the 2018 course.
I am stuck at the point where we can pass the four coordinates as the output of the network. In Jeremy’s method he used
continuous = True in
md = ImageClassifierData.from_csv(PATH, JPEGS, BB_CSV, tfms=tfms, continuous=True, bs=4)
which kept the output BB coordinates as continuous variables. But I am not able to find a similar way in fastai v1. I think it automatically applies one hot encoding on the string containing 4 numbers separated by spaces. I am not able to get how the encoding is happening or how to avoid that.
Can anyone help me know how to avoid the one hot encoding that is being done on those numbers?