jet-c-21's Stars
commaai/openpilot
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.
google-research/google-research
Google Research
zsh-users/zsh-autosuggestions
Fish-like autosuggestions for zsh
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
aleju/imgaug
Image augmentation for machine learning experiments.
CoreyMSchafer/code_snippets
alexjc/neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
gzc/CLRS
:notebook:Solutions to Introduction to Algorithms
pathak22/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
PacktPublishing/Mastering-OpenCV-4-with-Python
Mastering OpenCV 4 with Python, published by Packt
iwatake2222/self-driving-ish_computer_vision_system
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
charliememory/Pose-Guided-Person-Image-Generation
Tensorflow implementation of our NIPS 2017 paper "Pose Guided Person Image Generation"
pathak22/unsupervised-video
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
zacjiang/SCV
Learning Optical Flow from a Few Matches (CVPR 2021)
minimaxir/ai-generated-pokemon-rudalle
Python script to preprocess images of all Pokémon to finetune ruDALL-E
shafu0x/vehicle-speed-estimation
Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.
antoninodimaggio/Voof
Visual odometry using optical flow and neural networks
JonathanCMitchell/speedChallenge
jovsa/speed-challenge-2017
Explore how well deep neural networks perform at predicting vehicle speed given just visual data (dashcam video) containing highway and suburban driving.
ryanchesler/comma-speed-challenge
Ryan's contributions to the Comma.ai speed challenge
dandelin/awesome-deep-art
A curated list of deep learning resources for Art
shafu0x/opical-flow-estimation-with-RAFT
Optical Flow Estimation using RAFT with PyTorch.
tanaikech/getfilelistpy
This is a python library to retrieve the file list with the folder tree from the specific folder of Google Drive.
trillhause/deeps
Predicting speed of cars using optical flow analysis and Convolutional neural networks
negvet/speedchallenge
shayanray/Vehicle-Speed-Prediction-from-dashboard-camera
Using Computer Vision and deep learning techniques, we predict Vehicle Speed from dashboard camera videos.
juanmnl/vs-mr-pink
😎 I wanna find out who the bad guy is.
deshpandeshrinath/CSE527-Computer-Vision
Computer Vision Course Stony Brook
michael-huber2772/realpython-material
Code copied from Real Python to use as practice and for reference back in 2018-2019.