= Power-efficient Visual Perception for AR Glasses =

In this project, we try to create a power-efficient visual perception system that
seeks to save on-device power while not compromising SLAM (simultaneous localization and mapping)
trajectory outputs.

== Weekly progress ==

=== Week 1 ===
* Manually decreased framerate of file and then saw MPS error
* Edited metadata tags (specifically `nominal_rate`) using VRS library, got MPS working

=== Week 2 ===
* Ran MPS on many sequences and then put results in Google Sheets
* Compared multi-sequence results for different framerates
[https://docs.google.com/presentation/d/1pS4UTJG_3IOuvgf925F0IRsoTJ-9RARM1bfTpoevc8w/edit?slide=id.g370524e7985_0_669&pli=1#slide=id.g370524e7985_0_669 Presentation]

=== Week 3 ===
* Started to investigate the `ego_blur` repo and obtained rectified images, transformation jsons
== Other info ==

* This is the command to compile files that use the VRS library:
{{{#!bash
    g++ FILE_NAME.cpp -o EXECUTABLE_NAME \
        -L/usr/local/lib \
        -I/usr/local/include \
        # VRS Libraries (from most dependent to least, or internal dependencies last)
        -lvrs_utils \
        -lvrs_utils_converters \
        -lvrs_utils_cli \
        -lvrs_helpers \
        # Libraries that define functions used by the above, and also by vrslib
        -lvrslib \
        -lvrs_os \
        -lvrs_logging \
        -lvrs_utils_xxhash \
        # External Libraries (order generally less critical, but still good to put providers later)
        -llz4 \
        -lzstd \
        -lboost_filesystem \
        -lboost_system \
        -lxxhash \
        -lfmt \
        -lpthread
}}}