alicevision/popsift-deps repository overview

⁠PopSift

PopSift is an open-source implementation of the SIFT algorithm in CUDA. PopSift tries to stick as closely as possible to David Lowe's famous paper [1], while extracting features from an image in real-time at least on an NVidia GTX 980 Ti GPU.

⁠HW requirements

PopSift compiles and works with NVidia cards of compute capability >= 3.0 (including the GT 650M), but the code is developed with the compute capability 5.2 card GTX 980 Ti in mind.

⁠Dependencies

PopSift depends on:

• CUDA >= 7.0

Optionally, for the provided applications:

• Boost >= 1.55 (required components {atomic, chrono, date-time, system, thread}-dev)

• DevIL (libdevil-dev) can be used to load a broader range of image formats, otherwise only pgm is supported.

⁠Docker repository

This Docker repository hosts the base images to build a popsift docker image. The image contains all the dependencies (even the optional ones). The associated docker file can be found in https://github.com/alicevision/popsift/blob/develop/Dockerfile_deps⁠