frontend
ailia-models
Our great sponsors
| frontend | ailia-models | |
|---|---|---|
| 1 | 4 | |
| 0 | 1,825 | |
| - | 4.7% | |
| 0.0 | 9.8 | |
| 4 months ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
frontend
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Call for Contributors - Photos.network
Call for Contributors - Photos.network Since privacy is coming more and more important for everyone, it was time to built a multi-user photo management application. Photos.network contains a [core](https://github.com/photos-network/core) written in python to manage the photos, users and addons. Also a [web frontend](https://github.com/photos-network/frontend/) written in python and an [android app](https://github.com/photos-network/android) are available. The main features * Keep track of your photos with privacy * Share photos and albums with friends, family or with public * Search for photos by attributes like location or objects What can I contribute / offer? The project does not have a limited scope, so every contribution to increase the funcionality could help. Where do I raise questions? There are a lot of informations and a FAQ available here: https://developers.photos.network Still open questions? Raise a ticket on github in one of the projects: https://github.com/orgs/photos-network/projects
ailia-models
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10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
- [P] A collection of pre-trained, state-of-the-art AI models
- Ailia-models: A collection of pre-trained, state-of-the-art AI models
What are some alternatives?
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
robotics-level-4 - This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!
Put-In-Context - Putting Visual Object Recognition in Context
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
aquamam - An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
recognize - 👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres [Moved to: https://github.com/nextcloud/recognize]
VolleyVision - Applying Deep Learning Approaches to Volleyball Data