Name: Pritam Karmokar
Type: User
Bio: I,
-like food, music, adventure, sports, traveling.
-love Physics, Math, Programming, Engineering.
-seek Peace, Brilliance, Food for thought.
Pritam Karmokar's Projects
Public repository for Air Learning project
Experiment Boid simulations
pytorch implementation for Contrastive Adaptation Network
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
Experiment with Edgeflow
A test file. Git beginner
A ROS package tool to analyze the IMU performance.
A Python library to calibrate 6 DOF IMUs
Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.
Config files for my GitHub profile.
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
Quadrotor dynamics equations are simulated as an exercise.
Birthday wishing webpage
Open source code for "Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios" RA-L 2018
Code implementations from the lecture series by Claus Brenner.