Learn how to use MicroPython along with a quantized TensorFlow Lite Microcontroller model that can allow you to run a cup detection program that keeps track of the number of cups in the image.

Create a dataset, train a model with it, and deploy the neural net model onto the OpenMV H7 board. We can track the number of cups in the image by using classical image processing methods on each frame before passing it to the model to find blobs and make bounding boxes based on the color, shape, width, and height of the blobs.

#MachineLearning #OpenMV #MicroPhython

○○○ Resources ○○○
Tutorial: [ Ссылка ]

○○○ Get In Touch ○○○
Twitter: [ Ссылка ]

свернуть