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# count-anything | |
An empirical study on few-shot counting using segment anything (SAM) | |
Meta AI recently released the Segment Anything model [[SAM]](https://github.com/facebookresearch/segment-anything), which has garnered attention due to its impressive performance in class-agnostic segmenting. In this study, we explore the use of SAM for the challenging task of few-shot object counting, which involves counting objects of an unseen category by providing a few bounding boxes of examples. We compare SAM's performance with other few-shot counting methods and find that it is currently unsatisfactory without further fine-tuning, particularly for small and crowded objects. | |
![image](example.png) | |
## Install | |
Install python dependencies. We use conda and python 3.10.4 and PyTorch 1.13.1 | |
> conda env create -f env.yaml | |
## Dataset preparation | |
- For FSC-147: | |
Images can be downloaded from here: https://drive.google.com/file/d/1ymDYrGs9DSRicfZbSCDiOu0ikGDh5k6S/view?usp=sharing | |
- For coco val2017: | |
Images can be downloaded from here: https://cocodataset.org/ | |
## Comparison Results | |
### FSC | |
![image](resultFSC.png) | |
### COCO | |
![image](resultcoco.png) | |
## Test | |
Download the [ViT-H SAM model](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth) | |
- For FSC-147: | |
``` | |
python test_FSC.py --data_path <FSC-147 dataset path> --model_path <path to ViT-H SAM model> | |
``` | |
- For coco val2017: | |
``` | |
python test_coco.py --data_path <coco val2017 dataset path\> --model_path <path to ViT-H SAM model> | |
``` | |
## Visualize | |
You can run [vis_FSC.ipynb](vis_FSC.ipynb) for FSC-147 or [vis_coco.ipynb](vis_coco.ipynb) for coco. | |
## Acknowledgement | |
We thank facebookresearch for their segment-anything model [[project]](https://github.com/facebookresearch/segment-anything), cvlab-stonybrook for their Learning To Count Everything [[project]](https://github.com/cvlab-stonybrook/LearningToCountEverything) and coco [[datasets]](https://cocodataset.org/). | |
## Citation | |
If you find the code useful, please cite: | |
``` | |
@article{ma2023countanything, | |
title={CAN SAM COUNT ANYTHING? AN EMPIRICAL STUDY ON SAM COUNTING}, | |
author={Ma, Zhiheng and Hong, Xiaopeng and Shangguan Qinnan}, | |
journal={arXiv preprint arXiv:2304.xxxxx}, | |
year={2023} | |
} | |
``` | |