Object Detection with OpenCV, Tensorflow Hub & Python | #pyguru

In this tutorial we will be learning how to implement a simple object detection tool in Google colab. For this we will be using the following libraries : opencv, Tensorflow, tensorflow_hub, pandas, numpy, matplotlib. We will be learning object detection workflow along with detecting a number of objects in several images. We are going to use a model from the Tensorflow Hub library, which has multiple ready to deploy models trained in all kinds of datasets and to solve all kinds of problems. For our use, I filtered models trained for object detection tasks and models in the TFLite format. The chosen model was the EfficientDet-Lite2 Object detection model. It was trained on the COCO17 dataset with 91 different labels and optimized for the TFLite application. This model returns: 1 - The box boundaries of the detection 2 - The detection scores (probabilities of a given class) 3 - The detection classes 4 - The number of detections. python guru