Opencv object detection real time

To build Yolo we’re going to need Tensorflow (deep learning), NumPy (numerical computation) and Pillow (image processing) libraries . Also we’re going to use seaborn’s color palette for bounding boxes colors.

To build Yolo we’re going to need Tensorflow (deep learning), NumPy (numerical computation) and Pillow (image processing) libraries . Also we’re going to use seaborn’s color palette for bounding boxes colors.

Conclusion. To summarize: Tensorflow is better than OpenCV for some use cases and OpenCV is better than Tensorflow in some other use cases . Tensorflow’s points of strength are in the training side.

Conclusion. To summarize: Tensorflow is better than OpenCV for some use cases and OpenCV is better than Tensorflow in some other use cases . Tensorflow’s points of strength are in the training side.

OpenCV is a library of programming functions mainly aimed at real-time computer vision. TensorFlow is an open-source software library for dataflow programming across a range of tasks. The important difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision .

So let’s go over the steps that our main function will have to perform to successfully run the application.

So let’s go over the steps that our main function will have to perform to successfully run the application.