Return logits in BaseTracker.track

[RunsenXu]

Hi,

Thanks for your great work! In BaseTracker.track function, the returned results are mask, logit, painted_iamge. But currently, the code returns final_mask two times as below:

    @torch.no_grad()
    def track(self, frame, first_frame_annotation=None):
        """
        Input: 
        frames: numpy arrays (H, W, 3)
        logit: numpy array (H, W), logit

        Output:
        mask: numpy arrays (H, W)
        logit: numpy arrays, probability map (H, W)
        painted_image: numpy array (H, W, 3)
        """

        if first_frame_annotation is not None:   # first frame mask
            # initialisation
            mask, labels = self.mapper.convert_mask(first_frame_annotation)
            mask = torch.Tensor(mask).to(self.device)
            self.tracker.set_all_labels(list(self.mapper.remappings.values()))
        else:
            mask = None
            labels = None
        # prepare inputs
        frame_tensor = self.im_transform(frame).to(self.device)
        # track one frame
        probs, _ = self.tracker.step(frame_tensor, mask, labels)   # logits 2 (bg fg) H W
        # # refine
        # if first_frame_annotation is None:
        #     out_mask = self.sam_refinement(frame, logits[1], ti)    

        # convert to mask
        out_mask = torch.argmax(probs, dim=0)
        out_mask = (out_mask.detach().cpu().numpy()).astype(np.uint8)

        final_mask = np.zeros_like(out_mask)

        # map back
        for k, v in self.mapper.remappings.items():
            final_mask[out_mask == v] = k

        num_objs = final_mask.max()
        painted_image = frame
        for obj in range(1, num_objs+1):
            if np.max(final_mask==obj) == 0:
                continue
            painted_image = mask_painter(painted_image, (final_mask==obj).astype('uint8'), mask_color=obj+1)

        # print(f'max memory allocated: {torch.cuda.max_memory_allocated()/(2**20)} MB')

        return final_mask, final_mask, painted_image

Should it be return final_mask, probs, painted_image?