Azad Baykara (azad96)

azad96

Geek Repo

Company:Technical University of Munich

Location:Munich

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Azad Baykara's repositories

3D-Scanning-Face-Reconstruction

3D Scanning & Motion Capture Project

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CNN

Convolutional Neural Network Example

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Coursera-ML-PAs

Andrew Ng Machine Learning Programming Assigments

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ONNX-Conversion

This repository shows an example of exporting an ONNX model from PyTorch.

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TensorRT-API

This repository consists of models implemented in TensorRT Network Definition API

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Video_Text_Adding

Add text to videos

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Visual-Perception-for-Self-Driving-Cars

Lab assignments of the Coursera course Visual Perception for Self-Driving Cars by University of Toronto

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ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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cosypose-custom

This is a custom version of original cosypose repository. https://github.com/ylabbe/cosypose

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dockerized-flask-vuejs-project

A web application built with flask and vuejs

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Pose2Room

Implementation of ECCV'2022: Pose2Room: Understanding 3D Scenes from Human Activities

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VideoCapture-with-device-name

Open video devices with their names in C++ OpenCV in Windows

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3D-Scanning-And-Motion-Capture

The exercises of the 3D Scanning & Motion Capture course at TUM

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GeoTransformer

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

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machine-learning-zoomcamp-homeworks

My solutions to the homeworks of Machine Learning Zoomcamp course

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MagnetLoss-PyTorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

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OC_SORT

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

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Python-MLOps-Cookbook

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

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sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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