Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
-
Updated
Aug 8, 2024 - Python
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Zalo AI Challenge - Landmark Identification
A small 2D robot localization game using Kalman filtering written in C++11
SourceCode of serial tutorials on 3D Slicer extension development for beginners
基于SSM框架的听歌识曲系统
Multi-index hashing for the resolution of ANN search problem on large datasets
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
The project is made to help android developers understand and implement machine learning(ML) Kit provided by Firebase 🔥 as one of its features
Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection
Landmarks Recogntion Web application using Streamlit.
This Module is designed for spine deformity analysis using freehand 3D ultrasound imaging, and the first module Lamina Landmark Labeling help find the Spinal Cord curve in 3D, which can be projected to three anatomical planes, e.g., for Scoliosis analysis using the Cobb angle when projected to the front back view.
Google Landmark Recognition Challenge
Super fast face detection with landmarks on Raspberry Pi 4
Watcharapon Weeraborirak Computer Engineering AI Developer (Machine Learning)
Landmark Recognition(Google Challenge on Kaggle) Using Transfer Learning
Code for Google Landmark Challenge 2020 competition (22nd place solution). ArcFace with dynamic margin scheduling.
Aidlearning is a Python programming framwork for mobile devices
Label famous (and not-so-famous) landmarks in images
Android application to detect landmarks in pictures
Named Entity Recognition to detect landmarks in German texts
Add a description, image, and links to the landmark-recognition topic page so that developers can more easily learn about it.
To associate your repository with the landmark-recognition topic, visit your repo's landing page and select "manage topics."