This Computer Vision Course was offered by Udemy, titled "Python for Computer Vision," and taught by Jose Portilla.

• Understand basics of NumPy
• Manipulate and open images with NumPy
• Use OpenCV to work with image files
• Use Python and OpenCV to draw shapes on images and videos
• Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations
• Create color histograms with OpenCV
• Open and stream video with Python and OpenCV
• Detect objects, including corner, edge, and grid detection techniques with OpenCV and Python
• Create face detection software
• Segment images with the Watershed Algorithm
• Track objects in video
• Use Python and Deep Learning to build image classifiers
• Work with TensorFlow, Keras, and Python to train on your own custom images

The skills learned during the course were quite beneficial to me in my personal projects related to Pupil Detection, and Screen Tracking.

For more information about the course, visit Python for Computer Vision with OpenCV and Deep Learning on Udemy.