87 lines
3.1 KiB
Markdown
87 lines
3.1 KiB
Markdown
# ISAT with segment anything
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# Interactive semi-automatic annotation tool for image segmentation.
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Quick annotate for image segmentation by [segment anything](https://github.com/facebookresearch/segment-anything)
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**Project updating，suggestions welcome**
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Demo Video：[youtube](https://www.youtube.com/watch?v=yLdZCPmX-Bc)
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演示视频：[bilibili](https://www.bilibili.com/video/BV1Lk4y1J7uB/)
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[中文](README.md) [English](README-en.md)
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# Feature
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1. Support semantic segmentation and instance segmentation.
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2. Integrating SAM (segment anything model) for interactive semi-automatic annotation of image segmentation.
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3. Interactive correction mask, by clicking on the area of interest (not of interest) with the left (right) mouse button.
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4. Support manual creation of polygons.
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5. Support modifying polygons.
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6. Support for adjusting polygon occlusion.
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7. Support preview annotation result.
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8. ISAT format json, contains more information.
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9. Support opening JSON files annotated by labelme (please backup a copy before opening), and modify.
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10. Support exporting ISAT format json to VOC as single-channel png images.
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11. Support exporting ISAT format jsons to COCO format json.
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12. Support exporting COCO format json to ISAT format jsons.
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# INSTALL
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## 1. Run the source code
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### (1) Create environment
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```shell
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conda create -n ISAT_with_segment_anything python==3.8
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conda activate ISAT_with_segment_anything
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```
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### (2) Install Segment anything
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```shell
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git clone git@github.com:facebookresearch/segment-anything.git
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cd segment-anything
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pip install -e .
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cd ..
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```
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### (3) Install ISAT_with_segment_anything
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```shell
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git clone https://github.com/yatengLG/ISAT_with_segment_anything.git
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cd ISAT_with_segment_anything
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pip install -r requirements.txt
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```
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### (4) Download Segment anything pretrained checkpoint.
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Download the checkpoint，and save in the path: ISAT_with_segment_anything/segment_any
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- H-checkpoint:[sam_vit_h_4b8939.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth)
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H checkpoint has best effect, but need more resources.VRAM needs at least 8G.
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- L-checkpoint:[sam_vit_l_0b3195.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth)
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L checkpoint has normal effect and normal resources.VRAM needs at least 7G.
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- B-checkpoint:[sam_vit_b_01ec64.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth)
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B checkpoint has pool effect, but need less resources.VRAM needs at least 6G.
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### (5) Run
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```shell
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python main.py
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```
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# Explain
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1. The software needs to run well under the GPU and enought VRAM.
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2. If you don't have a GPU or don't have enought VARM, please manually draw polygons for labeling by [ISAT](https://github.com/yatengLG/ISAT).
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3.
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# Citation
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```text
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@misc{ISAT with segment anything,
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title={{ISAT with segment anything}: Image segmentation annotation tool with segment anything},
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url={https://github.com/yatengLG/ISAT_with_segment_anything},
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note={Open source software available from https://github.com/yatengLG/ISAT_with_segment_anything},
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author={yatengLG and horffmanwang},
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year={2023},
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}
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``` |