Abbas Khan

> Sorry, what do you mean about too accurate? You can get your jpg image as model input and prepare your ground truth mask as binarized image with either pixel...

@muratali016 can you please explain how did you manage to make the label for multi-class segmentation, thanks

@kulkarnikeerti here is the format, # default_box is going to be used if you will not draw any box on image above default_box = {'x': 68, 'y': 247, 'width': 555,...

> You can use `predict_torch` to give multiple bounding boxes as input prompts: > > ```python > input_boxes = torch.tensor([box_1, box_2], device=mask_predictor.device) > transformed_boxes = mask_predictor.transform.apply_boxes_torch(input_boxes, image.shape[:2]) > masks, iou_predictions,...

@ibro45 Hello, were you able to read the .nrrd file format? I rearranged the file names but was still unable to read them.

@tridao Is it this convolution layer only? https://github.com/state-spaces/mamba/blob/9127d1f47f367f5c9cc49c73ad73557089d02cb8/mamba_ssm/modules/mamba_simple.py#L64C8-L71C30 Or do we also need to set causal_conv1d_fn, causal_conv1d_update = None, None Thanks

I found this code from train_valid_inference_main.py ``` if(hypar["gt_encoder_model"]!=""): model_path = hypar["model_path"]+"/"+hypar["gt_encoder_model"] if torch.cuda.is_available(): net.load_state_dict(torch.load(model_path)) net.cuda() else: net.load_state_dict(torch.load(model_path,map_location="cpu")) print("gt encoder restored from the saved weights ...") return net ############ ``` Does...

Drop your email; I finally downloaded them through a friend from China who has a Baidu account.