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High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Detects smells and computes metrics of Java code
Python linting made easy. Also a casual yet honorific way to address individuals who have entered an organization prior to you.
A game theoretic approach to explain the output of any machine learning model.
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Torchreid: Deep learning person re-identification in PyTorch.
IO library to access various filesystems with unified API
Synchronize your working directory efficiently to a remote place without committing the changes.
Chainer implementation of Dense Fusion
Learning Superpixels with Segmentation-Aware Affinity Loss
ONNX.js: run ONNX models using JavaScript
Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Chainer Implementation of Parallel Grid Pooling for Data Augmentation
Python package for the evaluation of odometry and SLAM
Templated python inferface for Point Cloud Library (PCL) based on Cython
The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping