Abhineet Singh

Deep-Learning-for-Tracking-and-Detection. Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

ORB_SLAM2. Modified version of ORB SLAM for an autonomous navigation project

MTF. Modular Tracking Framework

animal_detection. Animal Detection in Man-made Environments using Deep Learning

river_ice_segmentation. River ice segmentation with deep learning

awesome-computer-vision. A curated list of awesome computer vision resources

MDP_Tracking. Reinforcement learning based multi object tracker

PTF. Python Tracking Framework

deep_mdp. Deep MDP: A Modular Framework for Multi-Object Tracking

p2s-video. Extension of Pix2Seq for Video Object Detection and Segmentation

Modular-Decomposition-of-Tracker-. Different modalities of tracking are made available with test scripts

paramparse. Python argparse wrapper to allow hierarchically nested class based parameters suitable for automatic code analysis

ipsc_prediction. IPSC Prediction with Deep Learning

MNISTDD. MNIST Double Digits Dataset

MTF_BRIDGE. The mtf_bridge package. Provides a simple compatibility layer between the Modular Tracking Framework (MTF) and ROS

online_signature_verification. Online Signature Verification using Segment-Level Fuzzy Modeling

abandoned_object_detection. An interactive framework for abandoned and removed object detection in video