mediapipe-rs
fluvio
mediapipe-rs | fluvio | |
---|---|---|
1 | 1 | |
0 | 0 | |
- | - | |
5.5 | 9.4 | |
9 months ago | 5 months ago | |
Rust | Rust | |
Apache License 2.0 | 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.
mediapipe-rs
-
Release: WasmEdge 0.12 and 0.12.1
https://wasmedge.org/docs/contribute/plugin/intro
Some examples:
WasmEdge’s Tensorflow Lite plugin enables lightweight (1/10 of Linux containers) and fast (native GPU) AI inference apps for Tensorflow Lite models. https://wasmedge.org/docs/develop/rust/ai_inference/tensorfl...
WasmEdge’s PyTorch plugin enables lightweight (1/10 of Linux containers) and fast (native GPU) AI inference apps for PyTorch models. https://wasmedge.org/docs/develop/rust/ai_inference/pytorch/
Through the new WasmEdge plugin system, the community are adding support for libraries like zlib, OpenCV, tesseract and ffmpeg etc. Putting these together, we are supporting complex AI libraries such as Mediapipe on WasmEdge! https://github.com/yanghaku/mediapipe-rs
The Mediapipe story is esp interesting since WasmEdge is now adapted as a runtime for stream data process in products like Fluvio, Redpanda, YoMo, RisingWave and others. Mediapipe support allows developers to add AI into the stream data pipeline. https://github.com/xxchan/fluvio/pull/1
WasmEdge’s eBPF plugin enables developers to create secure and containerized eBPF tools and controllers in Kubernetes environments.
fluvio
-
Release: WasmEdge 0.12 and 0.12.1
https://wasmedge.org/docs/contribute/plugin/intro
Some examples:
WasmEdge’s Tensorflow Lite plugin enables lightweight (1/10 of Linux containers) and fast (native GPU) AI inference apps for Tensorflow Lite models. https://wasmedge.org/docs/develop/rust/ai_inference/tensorfl...
WasmEdge’s PyTorch plugin enables lightweight (1/10 of Linux containers) and fast (native GPU) AI inference apps for PyTorch models. https://wasmedge.org/docs/develop/rust/ai_inference/pytorch/
Through the new WasmEdge plugin system, the community are adding support for libraries like zlib, OpenCV, tesseract and ffmpeg etc. Putting these together, we are supporting complex AI libraries such as Mediapipe on WasmEdge! https://github.com/yanghaku/mediapipe-rs
The Mediapipe story is esp interesting since WasmEdge is now adapted as a runtime for stream data process in products like Fluvio, Redpanda, YoMo, RisingWave and others. Mediapipe support allows developers to add AI into the stream data pipeline. https://github.com/xxchan/fluvio/pull/1
WasmEdge’s eBPF plugin enables developers to create secure and containerized eBPF tools and controllers in Kubernetes environments.
What are some alternatives?
wasmedge_hyper_demo - Lightweight HTTP servers based on hyper / warp frameworks in the WasmEdge Runtime.
wasmedge-db-examples - Lightweight database clients in the WasmEdge Runtime
WasmEdge - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
wasmedge_wasi_socket - A Rust lib for socket on WasmEdge.