Unfortunately this year’s edition of this contest was cancelled. However we prepared several presentations, which we would like to share: For sure we will participate in next year’s edition. Meanwhile all of our robots will be improved and enhanced with new functionalities. Stay tuned!

I encountered very interesting problem while using driver for servo of my robot chasis. As TensorFlow requires python 3.7 I had to rewrite our steering robot program to use python3.7. It seemed to be easy as peace of cake, but then to my surprise I discovered that motor doesn’t work at all in python3.7 andWięcej oBaltic Robbo Battles – RaspberryPI – servo driver PCA9685 on python3[…]

This time approach is different – to use ready-to use model on RaspberryPI and try to detect objects. I followed this tutorial: https://pylessons.com/YOLOv3-TF2-RaspberryPi/ and this tutorial was also helpful during installation of TensorFlow on RaspberryPI: https://qengineering.eu/install-tensorflow-2.2.0-on-raspberry-pi-4.html and here are my steps: install required components on RaspberryPI – Python 3.7.1 ,Tensorflow 2.2.0, Keras,OpenCV: When I hadWięcej oBaltic Robbo Battles 2021 – object detection and classification – next round[…]

After reading this article, it was obvious for me to use YOLO CCN to detect objects on pic and use MobileNet model to classify them. https://medium.com/nanonets/how-to-easily-detect-objects-with-deep-learning-on-raspberrypi-225f29635c74 I used follwoing Github repo. I have built docker image and tried to run it. https://github.com/NanoNets/RaspberryPi-ObjectDetection-TensorFlow After taking pictures of several types of food in my home I usedWięcej oBaltic Robbo Battles 2021 – object detection and classification[…]