OpenCV Tutorials - Computer Vision
OpenCV has a lot of useful functions for image processing, 3D composition, tracking, machine learning, recognition, and deep learning. And it is free even for commercial use. Isn't it a really cool library?
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We will explain ACC, Recall, Precision, F1, ROC, and AUC for evaluating model performance through a face detection example.
Thank you for your interest.
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Appendix: Please find the 3rd lecture
How to make deep learning models lightweight for IOT devices Learn how to make deep learning models lightweight and fast using TensorFlow Lite.
Please refer to the last appendix session
We will practice handwritten number recognition using deep learning using an easy deep learning framework called Keras.
The lecture is about 15 minutes long and all you need is a Google account.
This course covers Keras + MNIST + CNN + Colab.
Please refer to the last appendix of the OpenCV tutorial.
https://www.inflearn.com/course/opencv-lecture/lecture/40347
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