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Beskrivelse
To get started, create a machine learning model in Core ML format using Create ML or coremltools. Copy the model file to your device using the Files app. Supported locations include local storage and cloud services such as iCloud Drive, OneDrive, Google Drive, and Dropbox. Models can also be transferred using AirDrop. After launching Vision Detector, select and load your model.
You can choose an input image from multiple sources:
• Live video from the built-in camera with continuous inference
• Still photos captured with the camera
• Images from the Photo Library
• Images from the file system
For live video input, inference runs continuously on the camera feed. Performance such as frame rate depends on the device.
Supported model types:
• Image classification
• Object detection
• Style transfer
Models that rely on MultiArray inputs or outputs, or that do not include a non-maximum suppression layer, are not supported.
Note: Vision Detector does not include any pre-trained machine learning models. You must provide your own Core ML model to use the app.
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Nyheder
- Version: 2.2
- Opdateret:
- (ver. 2.2)
Improved image quality in live video.
(ver. 2.1)
Improved UI elements.
Fixed issues of application flags.
Update notification.
(ver. 2.0)
Vision Detector has been completely rebuilt in SwiftUI to align with newer iOS UI design.
Improved memory management.
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