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December 3, 2019 14:36
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Pose Estimation with TensorFlow Lite in Android Sample
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| fun create( | |
| activity: Activity, | |
| imageSizeX: Int = 192, | |
| imageSizeY: Int = 192, | |
| outputW: Int = 96, | |
| outputH: Int = 96, | |
| modelPath: String = "model.tflite", | |
| numBytesPerChannel: Int = 4 | |
| ): ImageClassifierFloatInception = | |
| ImageClassifierFloatInception( | |
| activity, | |
| imageSizeX, | |
| imageSizeY, | |
| outputW, | |
| outputH, | |
| modelPath, | |
| numBytesPerChannel) |
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This is copy of https://github.com/edvardHua/PoseEstimationForMobile/ projects.
This software includes the work that is distributed in the Apache License 2.0.