Streaming Image Recognition by WebAssembly and Tensorflow

1. SSVM

   1 50 9,147 9.7 C++

   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.

   

   $ wget https://github.com/WasmEdge/WasmEdge/releases/download/0.8.0/WasmEdge-0.8.0-manylinux2014_x86_64.tar.gz $ tar -xzf WasmEdge-0.8.0-manylinux2014_x86_64.tar.gz $ sudo cp WasmEdge-0.8.0-Linux/include/wasmedge.h /usr/local/include $ sudo cp WasmEdge-0.8.0-Linux/lib64/libwasmedge_c.so /usr/local/lib $ sudo ldconfig

2. CodeRabbit

   coderabbit.ai featured

   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

3. yomo

   2 8 1,748 8.8 Go

   🦖 Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.

   

   This project demonstrates how to process a video stream in real-time using WebAssembly and apply a pre-trained food classification model to each frame of the video in order to determine if food is present in that frame, all by integrating WasmEdge into YoMo serverless.

4. yomo-wasmedge-tensorflow

   3 2 64 4.1 Go

   This application demonstrates how to launch high-performance "serverless" functions from the YoMo framework to process streaming data. The functions are embedded in a WebAssembly VM, WasmEdge, for safety, security, portability, and manageability.

   

   $ git clone https://github.com/yomorun/yomo-wasmedge-tensorflow.git

5. cli

   4 1 6 5.6 Go

   Discontinued Command-line tools for YoMo. (by yomorun)

   

   Or, you can download the pre-built binary tarball yomo-v0.0.5-x86_64-linux.tgz.

6. WasmEdge-tensorflow-deps

   5 1 1 3.7 C

   

   $ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.8.0/WasmEdge-tensorflow-deps-TF-0.8.0-manylinux2014_x86_64.tar.gz $ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.8.0/WasmEdge-tensorflow-deps-TFLite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/lib -xzf WasmEdge-tensorflow-deps-TF-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/lib -xzf WasmEdge-tensorflow-deps-TFLite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo ln -sf libtensorflow.so.2.4.0 /usr/local/lib/libtensorflow.so.2 $ sudo ln -sf libtensorflow.so.2 /usr/local/lib/libtensorflow.so $ sudo ln -sf libtensorflow_framework.so.2.4.0 /usr/local/lib/libtensorflow_framework.so.2 $ sudo ln -sf libtensorflow_framework.so.2 /usr/local/lib/libtensorflow_framework.so $ sudo ldconfig

7. WasmEdge-tensorflow

   6 1 12 3.5 C++

   

   $ wget https://github.com/second-state/WasmEdge-tensorflow/releases/download/0.8.0/WasmEdge-tensorflow-0.8.0-manylinux2014_x86_64.tar.gz $ wget https://github.com/second-state/WasmEdge-tensorflow/releases/download/0.8.0/WasmEdge-tensorflowlite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/ -xzf WasmEdge-tensorflow-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/ -xzf WasmEdge-tensorflowlite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo ldconfig

8. WasmEdge-image

   7 1 5 3.5 C

   

   $ wget https://github.com/second-state/WasmEdge-image/releases/download/0.8.0/WasmEdge-image-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/ -xzf WasmEdge-image-0.8.0-manylinux2014_x86_64.tar.gz $ sudo ldconfig

9. InfluxDB

   influxdata.com featured

   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

10. rustwasmc

    8 3 131 0.0 Rust

    Discontinued Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript.

    

    Install rustwasmc

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