DeepVision for Core ML
$0.99
1.1for iPhone
Age Rating
DeepVision for Core ML 螢幕截圖
About DeepVision for Core ML
DeepVision can load any image classification Core ML model and execute it in real-time on video from the camera of your device.
You can start by trying the built-in model, SqueezeNet, which is only 5 MB in size and can detect 1000 categories of objects.
DeepVision will load the model and show you the most probable result predicted by the model. It can also read the information embedded in the model like the creator, license or description.
Note: You can precompile your models to load them faster in DeepVision. Use the command “xcrun coremlcompiler” in the Terminal of your Mac with Xcode 9 installed to compile Core ML models (.mlmodel) into compiled packages (.mlmodelc).
DeepVision is also available for iOS, check it out on the App Store!
You can start by trying the built-in model, SqueezeNet, which is only 5 MB in size and can detect 1000 categories of objects.
DeepVision will load the model and show you the most probable result predicted by the model. It can also read the information embedded in the model like the creator, license or description.
Note: You can precompile your models to load them faster in DeepVision. Use the command “xcrun coremlcompiler” in the Terminal of your Mac with Xcode 9 installed to compile Core ML models (.mlmodel) into compiled packages (.mlmodelc).
DeepVision is also available for iOS, check it out on the App Store!
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最新版本1.1更新日誌
Last updated on 2018年10月02日
歷史版本
• Added support for macOS Mojave Dark Mode
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Version History
1.1
2017年09月26日
• Added support for macOS Mojave Dark Mode
DeepVision for Core ML FAQ
點擊此處瞭解如何在受限國家或地區下載DeepVision for Core ML。
以下為DeepVision for Core ML的最低配置要求。
iPhone
DeepVision for Core ML支持English