Video Stabilization — Deep Dive + Problem: Softmax Function

1. 1Apply video stabilization techniques to a sample video using OpenCV
2. 2Implement the softmax function in a neural network using TensorFlow
3. 3Configure a deep learning model to use video stabilization as pre-processing
4. 4Test the model on a stabilized video dataset
5. 5Compare the performance of the model with and without video stabilization

Computer vision engineers and deep learning practitioners can benefit from understanding video stabilization and the softmax function to improve their models

💡 Video stabilization can significantly improve the performance of computer vision models by reducing camera shake and motion blur

Improve your computer vision models with video stabilization and softmax function