Layer-Divider-WebUI
Gradio based WebUI with a SAM (segment-anything)
APACHE-2.0 License
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Ecosystems:
Python
Layer-Divider-WebUI
Deprecation warning
This project uses sam instead of sam-v2, so it will be archived soon.
You can try the new sam2-playground repository instead, there's also a feature to segment a video.
A Gradio-based browser interface for SAM. (Segment-Anything Model)
You can use it as an tool for Layer Divider
Installation and Running
Prerequisite
you need to have python 3.8 - 3.10.
Please follow the links below to install it:
- python : https://www.python.org/downloads/
make sure to add the python to your system PATH.
Automatic Installation
If you have satisfied the prerequisite above, you are now ready to start WebUI.
- Download and unzip this repository. ( or
git clone https://github.com/jhj0517/Layer-Divider-WebUI.git) - Run
Install.batfrom Windows Explorer as a regular, non-administrator user. - After installation, run the
start-webui.bat. - Open your web browser and go to
http://localhost:7860
( If you're running another Web-UI, it will be hosted on a different port , such as localhost:7861, localhost:7862, and so on )
Explanation of Parameters
| Parameter | Description |
|---|---|
| points_per_side | The number of points to be sampled along one side of the image. The total number of points is points_per_side**2. If None, 'point_grids' must provide explicit point sampling. |
| pred_iou_thresh | A filtering threshold in [0,1], using the model's predicted mask quality. |
| stability_score_thresh | A filtering threshold in [0,1], using the stability of the mask under changes to the cutoff used to binarize the model's mask predictions. |
| crops_n_layers | If >0, mask prediction will be run again on crops of the image. Sets the number of layers to run, where each layer has 2**i_layer number of image crops. |
| crop_n_points_downscale_factor | The number of points-per-side sampled in layer n is scaled down by crop_n_points_downscale_factor**n. |
| min_mask_region_area | If >0, postprocessing will be applied to remove disconnected regions and holes in masks with area smaller than min_mask_region_area. Requires opencv. |