This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
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Bumps uvicorn from 0.8.6 to 0.11.7.
Release notes
Sourced from uvicorn's releases.
Changelog
Sourced from uvicorn's changelog.
Commits
178bee6Version 0.11.7 (#726)a796e1dCorrected --proxy-headers client ip/host when using a unix socket (#636)895807fQuote path component before logging (#724)789e2f1Disallow invalid header characters (#725)81f2136Brings back windows testing to CI (#685)f623916Release version 0.11.6 (#705)6757386Removing iocp mentions from documentation (#692)77468dfAdd --app-dir option for running uvicorn from any location (#619)9b92925Document default backlog setting (#682)2dcbb13Fix typo. (#676)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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