WasmEdge-image
By second-state
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. (by yomorun)
WasmEdge-image | yomo-wasmedge-tensorflow | |
---|---|---|
1 | 2 | |
5 | 60 | |
- | - | |
3.5 | 4.1 | |
10 months ago | 4 months ago | |
C | Go | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
WasmEdge-image
Posts with mentions or reviews of WasmEdge-image.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-27.
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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
yomo-wasmedge-tensorflow
Posts with mentions or reviews of yomo-wasmedge-tensorflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-08.
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Enjoy the most lightweight AI inference
# Download a video file $ wget -P source 'https://github.com/yomorun/yomo-wasmedge-tensorflow/releases/download/v0.1.0/hot-dog.mp4' # Stream the video to YoMo $ go run ./source/main.go ./source/hot-dog.mp4
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Streaming Image Recognition by WebAssembly and Tensorflow
$ git clone https://github.com/yomorun/yomo-wasmedge-tensorflow.git
What are some alternatives?
When comparing WasmEdge-image and yomo-wasmedge-tensorflow you can also consider the following projects:
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.
yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra
WasmEdge-tensorflow
WasmEdge-tensorflow-deps
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.
cli - Command-line tools for YoMo.