Wahyu Rahmaniar's Projects
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
3D detection prediction in Autopilot scene with monocular RGB image. Selected Faster RCNN as basemodel and ResNet as backbone with Python.
3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation
A simple Artificial Bee Colony (ABC) algorithm to solve the Traveling Salesman Problem
An implementation of the Artificial Bee Colony (ABC) Algorithm
Pytorch code for Hybrid Coarse-fine Classification for Head Pose Estimation
recognize actions from videos using machine learning classifier(s) and suitable features. You will use UCF sports action data set here http://crcv.ucf.edu/data/ucf_sports_actions.zip. UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery and GettyImages. The dataset includes a total of 150 sequences with the resolution of 720 x 480. The collection represents a natural pool of actions featured in a wide range of scenes and viewpoints. By releasing the data set we hope to encourage further research into this class of action recognition in unconstrained environments. Since its introduction, the dataset has been used for numerous applications such as: action recognition, action localization, and saliency detection. The dataset includes the following 10 actions. The figure above shows the a sample frame of all ten actions, along with their bounding box annotations of the humans shown in yellow.
[ICPR 2020] Adaptive L2 Regularization in Person Re-Identification
Code for the paper "Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels".
[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification
Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
[Medical Image Analysis 2019] Attentive Neural Cell Instance Segmentation
PyTorch android examples of usage in applications
Demo V4l2 client ioctl usage
v4l2demo for android
Universal UVCCamera library,supporting recording,pushing,etc. // USB摄像头(UVC)视频录制和图片抓拍,支持边推流边录像
This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".
A python implementation of clustering optimization using the Artificial Bee Colony algorithm
Recently, a massive astronomical dataset is being collected to find answers for a variety of unanswered questions about our universe by virtue of modern sky survey instruments. Unfortunately, it is impossible to work on these massive datasets manually to get effective results so, astronomers are seeking approaches to automate the human error borne
Google Brain AutoML
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
:metal: awesome-semantic-segmentation
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Astrodynamics simulation framework
High-resolution breast cancer screening with multi-view deep convolutional neural networks
BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license