Via YoloV3, TensorFlow, Python
Yolov3 is an algorithm that uses deep convolutional neural networks to perform object detection.
In this quick project, I used the code that converts YoloV3 official already trained weights into TensorFlow models.
Once converted, I run the detect python code to use TensorFlow models to detect and identify the objects. I think it did pretty good.
As you can see in the short video below, it did detect my refrigerator, books on the shelves, bottle, myself as a person, my cell phone and my cup, a teddy bear toy and potted plants. 🙂
Very exciting and these are some of the technologies that are and will be utilized in self-driving cars.
Please also check out my Face Detection project, here:
