Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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Updated
Jul 9, 2024 - Python
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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A simple way to calibrate your neural network.
A Library for Uncertainty Quantification.
Automated, hardware-independent Hand-Eye Calibration
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
A multi-sensor capture system for free viewpoint video.
[ICCV21] Self-Calibrating Neural Radiance Fields
Intensity-based_Lidar_Camera_Calibration
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
The Python Toolbox for Robotics
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Calibration tools for multi-sensor, multi-modal robotic systems
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
Estimating pose using ArUCo Markers
ASAM XCP in Python
Light-field imaging application for plenoptic cameras
Read CO2 concentration from mh-z19 sensor on the Raspberry Pi & handle it. Detect Raspberry Pi model automatically and read the value from an appropriate serial device.
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