Yolo
Wrapper for frozen detection models trained using the Tensorflow Object Detection API: - https://github.com/tensorflow/models/tree/master/research/object_detection where you can find the training code.
To use pretrained models in the API or convert to TF Lite models, please see docs for details: - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_mobile_tensorflowlite.md#running-our-model-on-android
Functions
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open fun create( assetManager: AssetManager, modelFile: File, labelFilename: String, isQuantized: Boolean): Classifier
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open fun create( assetManager: AssetManager, modelFilename: String, labelFilename: String, isQuantized: Boolean): Classifier
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Initializes a native TensorFlow session for classifying images.
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open fun recognizeImage(bitmap: Bitmap): ArrayList<Classifier.Recognition>
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