shivam3052 / segment-anything-fast

A batched offline inference oriented version of segment-anything

Segment anything ... Fast

This work is based on a fork of https://github.com/facebookresearch/segment-anything

Installation

Step 1

Get latest PyTorch nightly

For example:

pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121

Installation instructions vary by platform. Please see the website https://pytorch.org/

Step 2

Install the package

pip install git+https://github.com/pytorch-labs/segment-anything-fast.git

Usage

The package acts like a drop-in replacement for segment-anything.

So, for example, if you're currently doing from segment_anything import sam_model_registry you should be able to do from segment_anything_fast import sam_model_registry.

Please don't be shy to open a Github issue if you're missing functionality or find an issue. Thank you.

Results

The results show a waterfall of techniques.

Left to right these techniques are combined.

That means the very last bar is the combination of

• bfloat16
• torch.compile with max-autotune
• torch.scaled_dot_product_attention
• A custom Triton kernel that implements SDPA for relative positional encodings for long sequence lengths
• NestedTensors
• Dynamic int8 symmetric quantization
• 2:4 sparse format

License

segment-anything-fast is released under the Apache 2.0 license.