ms-krajesh Goto Github PK

2018-cycle-2

Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.

3d_surround_view

6865_a7

6.865 Assignment 7

adapnet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

autocalibration

Automatic cross calibration between image and lidar

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-image-rectification

📝 A curated list of image rectification papers.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

basalt-mirror

Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt

bisenet

My implementation of BiSeNet

blur-detection

Some implementations of algorithms for blur detection in JPEGs

bowl-mesh

Bowl mesh generator

calibration-cpp

Code to perform the omnidirectional camera calibration using images

calicam

CaliCam: Calibrated Fisheye Stereo & Mono Camera

calicam_mono

CaliCam_Mono: Various Fisheye Rectification Modes

camera_calibration

Accurate geometric camera calibration with generic camera models

camera_lidar_pandey

A modified version of the camera/LiDAR calibration method (originally by by G. Pandey).

camera_model

Adaptation from camodocal.

camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

camodomcalibratool

The tool to calibrate extrinsic param between camera and wheel

cgnet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]

channel_prune

Base to channel pruned to ResNet18 model

checkerboard

🏁 More robust checkerboard detection, similar algorithm to libcbdetect

cmake-modules

My collection of CMake modules

cnn-googlenet

👁 Vision : Model 4: GoogLeNet : Image Classification

contrastiveseg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

cpp-mono-vo

Implementing a monocular visual odometry pipeline

cracking-the-machine-learning-interview

Code snippets for our Book solutions

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.