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Functions437 in github.com/PolyU-ChenLab/UniPixel

Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:352
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:413
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:474
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:530
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:585
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:637
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:721
Methodload_annos
(self, split='train', add_explanatory=True)
unipixel/dataset/sub_classes/segmentation.py:793
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:886
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:1002
Methodload_annos
(self, split='train')
unipixel/dataset/sub_classes/segmentation.py:1079
Methodload_annos
(self, split='test')
unipixel/dataset/sub_classes/evaluation/videomme.py:20
Methodload_annos
(self, split='test')
unipixel/dataset/sub_classes/evaluation/videorefer.py:22
Methodload_annos
(self, split='test')
unipixel/dataset/sub_classes/evaluation/videorefer.py:110
Methodload_annos
(self, split='test', sample_frames=32)
unipixel/dataset/sub_classes/evaluation/mvbench.py:39
Methodload_annos
(self, split='valid')
unipixel/dataset/sub_classes/evaluation/ref_sav.py:23
Methodmask
(self)
unipixel/utils/visualizer.py:120
Methodnum_frames
Returns the number of frames per video.
sam2/sam2_train.py:34
Methodnum_videos
Returns the number of videos in the batch.
sam2/sam2_train.py:41
Methodnumber_to_string
(n)
unipixel/utils/visualizer.py:559
Methodon_step_end
(self, args, state, control, **kwargs)
unipixel/train/custom_trainer.py:105
Methodpolygons
(self)
unipixel/utils/visualizer.py:126
Methodpostprocess_small_regions
Removes small disconnected regions and holes in masks, then reruns box NMS to remove any new duplicates. Edits mask_data in
sam2/automatic_mask_generator.py:352
Methodpredict
Predict masks for the given input prompts, using the currently set image. Arguments: point_coords (np.ndarray or None): A
sam2/sam2_image_predictor.py:225
Methodpredict_batch
This function is very similar to predict(...), however it is used for batched mode, when the model is expected to generate predictions on multiple ima
sam2/sam2_image_predictor.py:173
Methodprepare_inputs_for_generation
(self, *args, cache_position=None,
unipixel/model/qwen2_5_vl.py:370
Methodprepare_prompt_inputs
Prepare input mask, point or box prompts. Optionally, we allow tracking from a custom `start_frame_idx` to the end of the video (for
sam2/sam2_train.py:185
Methodremove_object
Remove an object id from the tracking state. If strict is True, we check whether the object id actually exists and raise an error if
sam2/sam2_video_predictor.py:936
Functionreset_reg
()
demo/app.py:80
Functionreset_seg
()
demo/app.py:76
Methodset_epoch
(self, epoch)
unipixel/train/custom_trainer.py:94
Methodset_image_batch
Calculates the image embeddings for the provided image batch, allowing masks to be predicted with the 'predict_batch' method.
sam2/sam2_image_predictor.py:132
Functionshow_mask
(mask, ax, obj_id=None, random_color=False)
unipixel/eval/infer_pixelqa.py:64
Methodtrack_step
( self, frame_idx, is_init_cond_frame, current_vision_feats, current_v
sam2/modeling/sam2_base.py:791
Methodtraining_step
(self, model, inputs, num_items_in_batch=None)
unipixel/train/custom_trainer.py:228
Functionupdate_region
(blob)
demo/app.py:84
Functionupdate_video
(video, prompt_idx)
demo/app.py:94
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