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AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification
This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.
Official code for future vehicle localization paper implemented in Keras
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
This is Top 3 Code for the Person ReID Compitition of NAIC
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
Learning to build the future, today! Self-driving cars represent one of the most significant advances in modern history. Their impact will go beyond technology, beyond transportation, beyond urban planning to change our daily lives in ways we have yet to imagine. Here are some considerations: self-driving vehicles will save a lot of lives they will make our lives also more comfortable (e.g. mobility for seniors) transport will be delivered as a service from companies who own fleets of self-driving vehicles transportation will become more tightly integrated and packaged into many services premium vehicle services will be available being able to avoid crashes will change the vehicle body construction radically interior equipment will focus even more on comfort emotion (max. speed, acceleration, handling, exterior design ..) might almost entirely leave transportation are parking lots or parking spaces in town centers necessary anymore? traffic flow will be better regulated infrastructure utilization will be optimized a hugh amount of data will be collected and used hacking of vehicles will be a serious issue ... In this program you could learn the skills and techniques used by self-driving car teams at the most innovative companies in the world like NVIDIA, Mercedes-Benz, Uber ATG, Elektrobit. This amazing technology is practiced through interactive projects in computer vision, robotic controls, localization, path planning, machine learning and more.
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Social LSTM using PyTorch for Vehicle Data
Code of the Unsupervised Traffic Accident Detection paper in Pytorch.
Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"
Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.