Timm Haucke

biolith. Bayesian Ecological Modeling in Python

neural-supersampling. Unofficial re-implementation of a neural supersampling model for real-time rendering

react-native-camera. A fork of react-native-camera with experimental android support

distance-estimation. Distance Estimation for Estimating Animal Abundance

monocular_depth_estimation_demo. Interactive monocular depth estimation in any browser

MegaDetectorLite. MegaDetector 5.0 for Embedded Devices

maxflow. Interactive visualization of maximum flow algorithms

DPT. Fork of "Dense Prediction Transformers" with ONNX support

Depth-Anything. Fork of Depth Anything with support for ONNX export of metric depth models

socrates. Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)

consistent_depth. A fork of the code for Luo et al. 2020 with Docker support

synthetic-animals. Render synthetic RGB-D scenes of animated animals using Blender

timmh. Repository for my personal profile

geogist. Python

aecompression. Jupyter Notebook

multimodal-explorer. Tool to visualize and explore camera trap, ARU & remote sensing data

Yolo_Detectron2. Implementation of Yolo using Facebook's Detectron2 (https://github.com/facebookresearch/detectron2) Framework with Quantization support based on AQD: Towards Accurate Quantized Object Detection (https://github.com/aim-uofa/model-quantization)

kalibr. The Kalibr visual-inertial calibration toolbox

CameraTraps. Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

uav_invasive_tree_detection. Python

cytoscape.js-edgehandles. A fork of cytoscape.js-edgehandles to provide specific functionality for https://github.com/timmh/maxflow

libaxolotl-javascript. A JavaScript implementation of axolotl. Axolotl is a ratcheting forward secrecy protocol.

mmocc. Code and weights for the paper "Deep Multi-modal Species Occupancy Modeling"