WasmEdge-image
WasmEdge-tensorflow-deps
WasmEdge-image | WasmEdge-tensorflow-deps | |
---|---|---|
1 | 1 | |
5 | 1 | |
- | - | |
3.5 | 3.7 | |
10 months ago | 10 months ago | |
C | C | |
- | Apache License 2.0 |
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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.
WasmEdge-image
-
Streaming Image Recognition by WebAssembly and Tensorflow
$ 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
WasmEdge-tensorflow-deps
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Streaming Image Recognition by WebAssembly and Tensorflow
$ 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
What are some alternatives?
SSVM - 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.
rustwasmc - Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript.
WasmEdge-tensorflow
cli - Command-line tools for YoMo.
yomo-wasmedge-tensorflow - 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.
yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra