![]() What is the Kivy framework, and why should we use it for mobile app development ![]() What are the necessary requirements of mobile app development with Python Why is Python a great language for mobile app development What is Python, and why should I use it for Mobile App Development Convert bitmap to grayscale: farmaker47/OCR_with_Keras/blob/interpreter/app/src/main/java/com/soloupis/sample/ocr_keras/fragments/ocr/OcrModelExecutor. If you do not want to use TensorFlow Lite Support Library then take a look at this file where there is custom manipulation of the above procedure with plain functions. This is an operator I and created about 9 months ago There at this function you can see all the procedure for transforming the bitmap to grayscale and get buffer from one channel. So the basic operator that will give you one buffer out of three is TransformToGrayscaleOp(). TensorBuffer inputFeature = TensorBuffer.createFixedSize(new int, DataType.FLOAT32) Log.d("OpenCV", "OpenCV loaded Successfully!") Log.e("OpenCV", "Unable to load OpenCV!") I would really appreciate it if someone can let me know what I may have missed.Ĭode: String path = "/storage/emulated/0/Pictures/test_img.png" ![]() I have been looking for answers in the last few days and couldn’t find anything that would work. I tried to port it to Android Studio (Arctic Fox), loading the model to assets, and attempted two code paths to perform inference and both returned NAN values (see code below). I have successfully converted my tensorflow model from h5 to tflite and was able to use it in python to perform inference on a random test image (see tflite_model_test.ipynb under Colab Notebooks - Google Drive) ![]()
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