Name: Wahyu Rahmaniar
Type: User
Company: Tokyo Institute of Technology
Bio: My research interests include artificial intelligence, medical imaging, computer vision, image processing, and robotics.
Twitter: wahyurahmaniar
Location: Tokyo, Japan
Blog: https://wahyurahmaniar.github.io/
Wahyu Rahmaniar's Projects
Car and Human detection and recognition using LBP features and cascade classifier
Most popular metrics used to evaluate object detection algorithms.
This repository contains object detection using SSD-MobileNet V1.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
This is the Occluded-DukeMTMC dataset from the ICCV2019 paper "Pose-Guided Feature Alignment for Occluded Person Re-Identification"
Python controller library for Parrot Drones
Omniglot data set for one-shot learning
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
Python scripts performing object detection using the YOLOv6 model in ONNX.
OpenCV GitHub Mirror
Repository for OpenCV's extra modules
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
Pure python implementation of Gunnar Farneback's optical flow algorithm
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Parrot Drones Awesome Video Viewer
Use TensorFlow object detection API and MobileNet SSDLite model to train a pedestrian detector by using VOC 2007 + 2012 dataset
Facial Landmark Detection based on PyTorch
:statue_of_liberty: Parameter-Efficient Person Re-identification in the 3D Space :statue_of_liberty:
Incremental Learning in Person Re-Identification
Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
PFLD pytorch Implementation