Tracker

3D Object Detection and Tracking using center points in the bird-eye view

CenterPoint 3D Object Detection and Tracking using center points in the bird-eye view. Center-based 3D Object Detection and Tracking,Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl,arXiv technical report (arXiv 2006.11275) @article{yin2021center, title={Center-based 3D Object Detection and Tracking}, author={Yin, Tianwei and Zhou, Xingyi and Kr{“a}henb{“u}hl, Philipp}, journal={CVPR}, year={2021}, } This repo is an reimplementation of CenterPoint on the KITTI dataset. For nuScenes and Waymo, please refer to the original repo. Please refer to INSTALL.md for installation. We provide two configs, centerpoint.yaml for the […]

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Deep Learning

Low-Light Image and Video Enhancement Using Deep Learning

Lighting-the-Darkness-in-the-Deep-Learning-Era-Open This repository provides a unified online platform, LoLi-Platform http://mc.nankai.edu.cn/ll/, that covers many popular deep learning-based LLIE methods, of which the results can be produced through a user-friendly web interface, contains a low-light image and video dataset, LoLi-Phone https://drive.google.com/file/d/1QS4FgT5aTQNYy-eHZ_A89rLoZgx_iysR/view?usp=sharing, in which the images and videos are taken by various phones’ cameras under diverse illumination conditions and scenes, and collects deep learning-based low-light image and video enhancement methods, datasets, and evaluation metrics. More content and details can be found in our […]

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Filter

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

PoseRBPF PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking Citing PoseRBPF If you find the PoseRBPF code useful, please consider citing: @inproceedings{deng2019pose, author = {Xinke Deng and Arsalan Mousavian and Yu Xiang and Fei Xia and Timothy Bretl and Dieter Fox}, title = {PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking}, booktitle = {Robotics: Science and Systems (RSS)}, year = {2019} } @inproceedings{deng2020self, author = {Xinke Deng and Yu Xiang and Arsalan Mousavian and Clemens Eppner […]

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Logging

Simple straight logging your Python code

Alog Your goto Python logging without panic on context swtich. Warning: No more logger = logging.getLogger(__name__) in your every file. >>> import alog >>> alog.info(“Hi.”) 2016-12-18 20:44:30 INFO Hi. >>> def test(): … alog.info(“Test 1”) … alog.error(“Test 2”) … >>> test() 2016-12-18 20:45:19 INFO Test 1 2016-12-18 20:45:19 ERROR Test 2 >>> alog.set_level(“ERROR”) >>> test() 2016-12-18 20:45:41 ERROR Test 2 If you’re new to logging, see Why should you use logging instead of print. Installation pip install alog Features Instant […]

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Simulation

A library of functions to compute climate indices from observations or model simulation

xclim: Climate indices computations xclim is a library of functions to compute climate indices from observations or model simulations. It is built using xarray and can benefit from the parallelization handling provided by dask. Its objective is to make it as simple as possible for users to compute indices from large climate datasets and for scientists to write new indices with very little boilerplate. For example, the following would compute monthly mean temperature from daily mean temperature: import xclim import […]

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Tool

Windows Task Manager with special features written in Python

Killer Windows Task Manager with special features, written in Python. Tired of trying to kill processes with the default Windows Task Manager? Selecting one by one? So this is for you. Killer is an app with concise design which displays the processes, let search between them, order by pid/name/cpu/memoryand kill multiple apps (or even all) at once. Besides that, you can also kill the children of the selected process(es),which means, all the other processes created by these (no survival chance). […]

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Algorithms

Linear programming solver for paper-reviewer matching and mind-matching

Paper-Reviewer Matcher A python package for paper-reviewer matching algorithm based on topic modeling and linear programming. The algorithm is implemented based on this article). This package solves problem of assigning paper to reviewers with constrains by solving linear programming problem. We minimize global distance between papers and reviewers in topic space (e.g. topic modeling can be Principal component, Latent Semantic Analysis (LSA), etc.). Here is a diagram of problem setup and how we solve the problem. Mind-Match Command Line Mind-Match […]

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Command-line Tools

Tiny command-line utility for mapping broken keys to other positions

brokenkey Tiny command-line utility for mapping broken keys to other positions. Installation Clone this repository using git: git clonehttps://github.com/lymnyx/brokenkey Install using pip or pip3: pip3 install brokenkey/ Usage Start brokenkey by opening a terminal window and typing: brokenkey Now just copy and paste the character of the broken key in, enter the character you want to replace and then it should be running. Info: It is currently possible to use the pynput Key variables as character to replace (example: key […]

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Deep Learning

A state-of-the-art library for parsing multinational street addresses using deep learning

Here is deepparse. Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning. Use deepparse to Use the pre-trained models to parse multinational addresses, retrain our pre-trained models on new data to parse multinational addresses, retrain our pre-trained models with your own prediction tags easily. Read the documentation at deepparse.org. Deepparse is compatible with the latest version of PyTorch and Python >= 3.7. Countries and Results We evaluate our models on two forms of address data clean […]

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