HQ-SAM predictor issue

[georgeYanch]

Hi, there's a problem when I try to use HQ-SAM-Light-VIT-T model

In sam_pt.yaml I set - sam@sam_predictor.sam_model: samhq_light_vit_tiny

and when running demo I get

Traceback (most recent call last):
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\demo\demo.py", line 55, in main
    logits, trajectories, visibilities, scores = run_inference(model, rgbs, query_points, target_hw)
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\demo\demo.py", line 131, in run_inference
    outputs = model(video)
  File "C:\Users\Alina\anaconda3\envs\sam-pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\sam_pt\modeling\sam_pt.py", line 176, in forward
    query_masks = self.extract_query_masks(images, query_points)
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\sam_pt\modeling\sam_pt.py", line 324, in extract_query_masks
    _, query_masks_logits, _ = self._apply_sam_to_trajectories(
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\sam_pt\modeling\sam_pt.py", line 843, in _apply_sam_to_trajectories
    mask_frame_logits, iou_prediction_score = predict_mask(visible_point_coords, visible_point_labels)
  File "C:\Users\Alina\Desktop\Workplace\sam-pt\sam_pt\modeling\sam_pt.py", line 783, in predict_mask
    _, _, low_res_masks = self.sam_predictor.predict_torch(
  File "C:\Users\Alina\anaconda3\envs\sam-pt\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\Alina\anaconda3\envs\sam-pt\lib\site-packages\segment_anything\predictor.py", line 229, in predict_torch
    low_res_masks, iou_predictions = self.model.mask_decoder(
  File "C:\Users\Alina\anaconda3\envs\sam-pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)

TypeError: forward() missing 2 required positional arguments: 'hq_token_only' and 'interm_embeddings'

[m43]

Hi, thanks for your interest and question. This is because when using the HQ-SAM variants, you need to change not only the model but also the SAM predictor class being instantiated. Here's how you can update your sam_pt.yaml configuration:

#...

defaults:
  # ...
  - sam@sam_predictor.sam_model: samhq_light_vit_tiny

sam_predictor:
  _target_: segment_anything_hq.predictor.SamPredictor

# ...

iterative_refinement_iterations: 3

# ...

Please note that based on a small hyperparameter search, it's recommended to use iterative_refinement_iterations equal to 3 for the Light HQ-SAM variant.

You can also override the configuration via the command line without modifying the .yaml files, as shown in the VOS evaluation examples here. Hope this helps!

[georgeYanch]

Thanks! Everything works just fine now