kim-junsung

Pinned Repositories

amplify-photo-sharing-workshop
Building full-stack cloud apps with AWS Amplify and React
Language:JavaScript00
circleci-demo-javascript-express
Sample Javascript/Express app building on CircleCI
Language:JavaScript00
conditional-lane-detection
Language:Python00
darknet_for_colab
Darknet repository for training YOLOv4 on Google Colab with Custom Dataset
Language:C00
deep-learning-models
Keras code and weights files for popular deep learning models.
Language:Python0 0 00
deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
Language:Python00
GRIP
Language:Python00
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Language:Python00
kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Language:Jupyter Notebook00
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Language:Python00

kim-junsung's Repositories

kim-junsung/amplify-photo-sharing-workshop
Building full-stack cloud apps with AWS Amplify and React
Language:JavaScript00
kim-junsung/circleci-demo-javascript-express
Sample Javascript/Express app building on CircleCI
Language:JavaScript00
kim-junsung/conditional-lane-detection
Language:Python00
kim-junsung/darknet_for_colab
Darknet repository for training YOLOv4 on Google Colab with Custom Dataset
Language:C00
kim-junsung/deep-learning-models
Keras code and weights files for popular deep learning models.
Language:Python0 0 00
kim-junsung/deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
Language:Python00
kim-junsung/GRIP
Language:Python00
kim-junsung/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Language:Python00
kim-junsung/kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Language:Jupyter Notebook00
kim-junsung/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Language:Python00
kim-junsung/M3D-RPN
Language:Python
kim-junsung/PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
kim-junsung/Pedestrian-Synthesis-GAN
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
kim-junsung/react-slingshot
React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in
kim-junsung/SGINet
Code for the paper Semantic-Guided Inpainting Network for Complex UrbanScenes Manipulation
kim-junsung/shuffler
Toolbox for manipulating image annotations in computer vision
kim-junsung/tensorflow-yolov3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
Language:Python
kim-junsung/TrafficSignGAN
Augmenting existing datasets of traffic signs by using a Generative Adversarial Network to create synthetic images that will increase the accuracy and generalization ability of classification models.
kim-junsung/unrealcv
UnrealCV: Connecting Computer Vision to Unreal Engine
kim-junsung/YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
Language:Python