ImageSegmentation-CoreML
This project is Object Segmentation on iOS with Core ML.
If you are interested in iOS + Machine Learning, visit here you can see various DEMOs.
| Screenshot 1 | Screenshot 2 | Screenshot 3 | Screenshot 4 |
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How it works
(Preparing...)
Requirements
- Xcode 10.2+
- iOS 12.0+
- Swift 5
Model
Download
Download model from apple's model page.
Matadata
| input node | output node | size | |
|---|---|---|---|
| DeepLabV3 | [1, 513, 513, 3]name: image |
[513, 513]name: semanticPredictions |
8.6 MB |
| DeepLabV3FP16 | [1, 513, 513, 3]name: image |
[513, 513]name: semanticPredictions |
4.3 MB |
| DeepLabV3Int8LUT | [1, 513, 513, 3]name: image |
[513, 513]name: semanticPredictions |
2.3 MB |
Inference Time
| Device | Inference Time | Total Time |
|---|---|---|
| iPhone XS Max | 133 ms | 434 ms |
| iPhone XS | 135 ms | 411 ms |
| iPhone XR | 133 ms | 402 ms |
| iPhone X | 178 ms | 509 ms |
| iPhone 8+ | 180 ms | 563 ms |
| iPhone 8 | 189 ms | 529 ms |
| iPhone 7+ | 240 ms | 667 ms |
| iPhone 7 | 247 ms | 688 ms |
| iPhone 6S + | 309 ms | 1015 ms |
| iPhone 6+ | 1888 ms | 2753 ms |
See also
- motlabs/iOS-Proejcts-with-ML-Models
: The challenge using machine learning model created from tensorflow on iOS - deeplab on TensorFlow
: The repository providing DeepLabV3 model