graffity-technologies Goto Github PK
Name: Graffity
Type: Organization
Bio: Tech Startup
Location: Thailand
Blog: https://graffity.tech
Graffity's Projects
android-demo-app
PyTorch android examples of usage in applications
arcloud-sample-android
arcloud-sample-flutter
arcloud-sample-react-native
arform-android
ARForm is a redevelopment version of Sceneform.
bpy
blender python scripts
cesium
An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
cloudstack
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
colmap-docker
Colmap Docker Image
ctc-demo
deep-image-retrieval
End-to-end learning of deep visual representations for image retrieval
deepv2d
demo-arcloud-sdk-android
Demo Graffity ARCloud Service for Android
demo-arcloud-sdk-react-native
Demo Graffity ARCloud SDK for ReactNative
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
droid-slam
Graffity custom fork of DROID-SLAM
exif-samples
Sample images for testing Exif metadata retrieval.
flutter_uploader
background upload plugin for flutter
grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
graffity-arcloud-ios
For downloading Graffity ARCloud SDK for iOS
graffity-arcloud-unity
Unity Package for Graffity ARCloud
graffity-viewer
h3
Hexagonal hierarchical geospatial indexing system
hfnet
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
hierarchical-localization-custom
Visual localization made easy with hloc
ios-demo-app
PyTorch iOS examples
kornia
Open Source Differentiable Computer Vision Library
kubeflow-notebook-images
Docker Base Images and Dockerfiles definition for Kubeflow Notebook
lamar-benchmark
Source code for the ECCV 2022 paper "Benchmarking Localization and Mapping for Augmented Reality".
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