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The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show h...

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Hi, did anyone work around for video training? All of the config files for videos are intended for evaluation only, and I have figured out how to start training. However,...

Getting FileNotFound error when trying to load processor. For this file in particular "bpe_simple_vocab_16e6.txt.gz" This is my patch :P try: self.model = build_sam3_image_model() self.processor = Sam3Processor(self.model) except FileNotFoundError: response =...

I am trying to train **SAM3** on a custom segmentation dataset. The dataset was annotated using **CVAT** and exported in **COCO** format. After exporting, I updated the COCO annotations to...

I tried the SAM3 model for point prompts. When compared to SAM2, it produced such outputs frequently.

I have reduced the resolution from 1008 to multiple choices, such as 512, 504, 490 and many more choices, but I keep getting errors The below is the traceback I...

Hi sam3 team, thanks for your awesome work! Is it possible to transfer the embedding learned from the bounding box of an object in one image to another image, in...

Does sam3 not support segmentation fine tuning at this moment? When I use the following config: # @package _global_ defaults: - _self_ # ============================================================================ # Paths Configuration (Chage this to...

This is for the issue #307 . (Closes #307 ) When I finetuned the sam3 with a large dataset (like larger than 1M 2D images), I faced the memory leak...

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When I tried to fine-tune the model with a large annotation set (about 2M), memory usage gradually increased during the training process. Ultimately, the process was exploded.