BiRefNet is a model for dichotomous image segmentation (background removal). The weights in this repository are converted for lightweight inference on consumer hardware with vision.cpp.
Example inference with vision.cpp:
vision-cli birefnet -m BiRefNet-F16.gguf -i input.png -o mask.png --composite comp.png
image_data image = image_load("input.png");
backend_device device = backend_init();
birefnet_model model = birefnet_load_model("BiRefNet-F16.gguf", device);
image_data mask = birefnet_compute(model, image);
image_save(mask, "mask.png");
7 commits
BiRefNet is a model for dichotomous image segmentation (background removal). The weights in this repository are converted for lightweight inference on consumer hardware with vision.cpp.
Example inference with vision.cpp:
vision-cli birefnet -m BiRefNet-F16.gguf -i input.png -o mask.png --composite comp.png
image_data image = image_load("input.png");
backend_device device = backend_init();
birefnet_model model = birefnet_load_model("BiRefNet-F16.gguf", device);
image_data mask = birefnet_compute(model, image);
image_save(mask, "mask.png");
7 commits