Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
-
Updated
Aug 8, 2024 - Python
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.
Zalo AI Challenge - Landmark Identification
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
Landmark Detection using pre-trained models.
SourceCode of serial tutorials on 3D Slicer extension development for beginners
Android application used for organizing, sorting and localizing of pictures of landmarks, as well as identifying similar images to the photos made by the user
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.
Named Entity Recognition to detect landmarks in German texts
基于SSM框架的听歌识曲系统
Landmarks Recogntion Web application using Streamlit.
Detect Landmarks similar to Google Lens using TensorFlow Hub
Super fast face detection with landmarks on Raspberry Pi 4
Watcharapon Weeraborirak Computer Engineering AI Developer (Machine Learning)
Code for Google Landmark Challenge 2020 competition (22nd place solution). ArcFace with dynamic margin scheduling.
The project is made to help android developers understand and implement machine learning(ML) Kit provided by Firebase 🔥 as one of its features
Landmark recognition algorithm to predict landmark labels directly from image pixels
Aidlearning is a Python programming framwork for mobile devices
Landmark Recognition(Google Challenge on Kaggle) Using Transfer Learning
Label famous (and not-so-famous) landmarks in images
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."