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Fast PLY point cloud processing for 3D Gaussian splatting workflows

Project description

Super hacky library to work with coral reef splats.

You can swim with a few GoPros around a reef (e.g. wildflow.ai/protocol) and then turn the footage into 3D models (e.g. wildflow.ai/demo) to track changes over time, run different analysis on top of it, and ultimately see which conservation/restoration methods work best.

This is a bunch of primitives to process the data.

Usage

Install with

pip install wildflow

So you can play with it from python:

from wildflow import splat
splat.split(...)

Workflow

SfM workflow

Turns images from cameras 3D point cloud and

Local Development

This library uses Rust extensions built with Maturin. To set up locally:

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install Rust (if not already installed)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
source "$HOME/.cargo/env"

# Install dependencies and build
pip install maturin
pip install -r requirements.txt
maturin develop

After making changes to Rust code, rebuild with maturin develop.

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