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Pose Estimation with TensorFlow Lite in Android Sample
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| @Throws(IOException::class) | |
| private fun loadModelFile(activity: Activity): MappedByteBuffer { | |
| // modelPath would be something like "image_classifier.tflite" | |
| val fileDescriptor = activity.assets.openFd(modelPath) | |
| val inputStream = FileInputStream(fileDescriptor.fileDescriptor) | |
| val fileChannel = inputStream.channel | |
| val startOffset = fileDescriptor.startOffset | |
| val declaredLength = fileDescriptor.declaredLength | |
| return fileChannel.map(MapMode.READ_ONLY, startOffset, declaredLength) | |
| } |
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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.