s shape should be conf.batch_size x conf.max_n_animals x conf.n_classes x 2. The size of the aug_img will conf.batch_size x int(conf.imsz[0]/conf.rescale) x int(conf.imsz[1]/conf.rescale) x conf.img_dim. Shape of aug_locs is same as locs. Labeled locs that are missing annotations should have values either np.nan or -100000 (very large negative value).
              # Networks can implement their augmentation methods. The augmentation parameters set by user are availabel in self.conf.
              
        