yomo-wasmedge-tensorflow
Video classifier
A project that demonstrates how to process video streams in real-time using WebAssembly and TensorFlow Lite for food classification.
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.
64 stars
10 watching
19 forks
Language: Go
last commit: about 1 year ago
Linked from 1 awesome list
golangquicrustsecond-statewasmedgewebassemblyyomo
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