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jp.ikep.mediapipe.poselandmark

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# PoseLandmarkBarracuda ![demo](https://user-images.githubusercontent.com/34697515/126494250-a7f2520c-886b-46ab-ad69-645c0d7e91da.png) PoseLandmarkBarracuda is a human pose landmark detecter that runs the [Mediapipe Pose](https://google.github.io/mediapipe/solutions/pose) Landmark neural network model on the [Unity Barracuda](https://docs.unity3d.com/Packages/com.unity.barracuda@latest). PoseLandmarkBarracuda implementation is inspired by [HandLandmarkBarracuda](https://github.com/keijiro/HandLandmarkBarracuda) and I referenced [his](https://github.com/keijiro) source code.(Thanks, [keijiro](https://github.com/keijiro)!). ## Install PoseLandmarkBarracuda can be installed with npm or GitHub URL. ### Install from npm (Recommend) PoseLandmarkBarracuda can be installed by adding following sections to the manifest file (`Packages/manifest.json`). To the `scopedRegistries` section: ``` { "name": "creativeikep", "url": "https://registry.npmjs.com", "scopes": [ "jp.ikep" ] } ``` To the `dependencies` section: ``` "jp.ikep.mediapipe.poselandmark": "1.1.1" ``` Finally, the manifest file looks like below: ``` { "scopedRegistries": [ { "name": "creativeikep", "url": "https://registry.npmjs.com", "scopes": [ "jp.ikep" ] } ], "dependencies": { "jp.ikep.mediapipe.poselandmark": "1.1.1", ... } } ``` ### Install from GitHub URL PoseLandmarkBarracuda can be installed by adding below URL on the Unity Package Manager's window ``` https://github.com/creativeIKEP/PoseLandmarkBarracuda.git?path=Packages/PoseLandmarkBarracuda#v1.1.1 ``` or, adding below sentence to your manifest file(`Packages/manifest.json`) `dependencies` block. ``` "jp.ikep.mediapipe.poselandmark": "https://github.com/creativeIKEP/PoseLandmarkBarracuda.git?path=Packages/PoseLandmarkBarracuda#v1.1.1" ``` ## Demo Image Demo image was downloaded from [here](https://unsplash.com/photos/72zsd_fnxYc). ## ONNX Model The ONNX model files have been converted for Unity Barracuda from Mediapipe's ["pose_landmark_full.tflite"](https://github.com/google/mediapipe/blob/v0.8.6/mediapipe/modules/pose_landmark/pose_landmark_full.tflite) and ["pose_landmark_lite.tflite"](https://github.com/google/mediapipe/blob/v0.8.6/mediapipe/modules/pose_landmark/pose_landmark_lite.tflite) file. The ONNX model files were converted with [tflite2tensorflow](https://github.com/PINTO0309/tflite2tensorflow) and [tf2onnx](https://github.com/onnx/tensorflow-onnx). ## Author [IKEP](https://ikep.jp) ## LICENSE Copyright (c) 2021 IKEP [Apache-2.0](/LICENSE.md)