Wong Yi Jie's repositories
OpenVINO-Face-Tracking-using-YOLOv8-and-DeepSORT
Multi Camera Face Detection and Recognition with Tracking
AL-based-FL-for-Multi-Task-Disaster-Detection-Model
We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learning (CL) and Federated Learning (FL) methods. We also tried Active Learning (AL) to see how it could help in reducing the labeling workload for disaster dataset. Lastly, we optimized the model using OpenVINO.
Yolov5_DeepSort_Face
2023 IEEE World AI IoT: Multi-Camera Face Detection and Recognition in Unconstrained Environment
CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
efficient_yolov8_inference
Efficient YOLOv8 inference depends not only on GPU specifications but also on CPU processing. However, the significance of fully utilizing the CPU is often overlooked. In this repository, we explore how to utilize CPU multi-threading to enhance inference speed.
pointCloud_preprocessing
Find pre-installed Open3D package in CMake
labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
EY-challenge-2024
Team: Double Y
opensphere
Face Recognition on SurvFace or Custom Dataset using OpenSphere
yolo_tracking
A collection of SOTA real-time, multi-object tracking algorithms for object detectors
MobileNetV2-for-Disaster-Classification
Train a lightweight MobileNetV2 model for disaster classification using the Crisis Image Benchmark Datasets (CrisisIBD).
Representation-Similarity-Analysis
Representation Similarity Analysis (RSA) to measure the similarity of the feature maps extracted by two models.
BestYOLO
🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!
face_recognition
The world's simplest facial recognition api for Python and the command line
kitti-object-eval-python
Fast kitti object detection eval in python(finish eval in less than 10 second)
LG-ShadowNet
Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data
SuperYOLO
SuperYOLO is accepted by TGRS