This project is Pose Estimation on iOS with Core ML.
If you are interested in iOS + Machine Learning, visit here you can see various DEMOs.
- Xcode 9.2+
- iOS 11.0+
- Swift 4.1
Pose Estimation model for Core ML(model_cpm.mlmodel)
☞ Download Core ML model model_cpm.mlmodel or hourglass.mlmodel.
input_name_shape_dict = {"image:0":[1,224,224,3]} image_input_names=["image:0"]
output_feature_names = ['Convolutional_Pose_Machine/stage_5_out:0']
| cpm | hourglass | |
|---|---|---|
| Input shape | [1, 192, 192, 3] |
[1, 192, 192, 3] |
| Output shape | [1, 96, 96, 14] |
[1, 48, 48, 14] |
| Input node name | image |
image |
| Output node name | Convolutional_Pose_Machine/stage_5_out |
hourglass_out_3 |
| Inference time on iPhone X | 57 mm | 33 mm |
Once you import the model, compiler generates model helper class on build path automatically. You can access the model through model helper class by creating an instance, not through build path.
No external library yet.
(Ready to publish)
- motlabs/iOS-Proejcts-with-ML-Models
: The challenge using machine learning model created from tensorflow on iOS - edvardHua/PoseEstimationForMobile
: TensorFlow project for pose estimation for mobile