"In the world ye shall have tribulation: but be of good cheer; I have overcome the world." –John 16:33

Day: October 19, 2019

Water Machine Learning (gif): Finding the Weir

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This is the sixth in a series of videos I am creating of the research I am performing under the direction of University of Nebraska Lincoln Professor Troy Gilmore to determine whether we can use images taken at the weir on North Platte River at the Nebraska-Wyoming State Line to replicate measurements of discharge and stage by extracting features from the images and using measurements from USGS sensors as ground truth.

This is the first pass of the weir finder. Notice that it starts missing at night and that it is pretty good, but not perfect. We will refine this.

Water Machine Learning (Video 5): Odd shaped regions of interest

Previous : #4 Features for Images in a Folder
Next: #6: Finding the Weir

This is the fifth in a series of videos I am creating of the research I am performing under the direction of University of Nebraska Lincoln Professor Troy Gilmore to determine whether we can use images taken at the weir on North Platte River at the Nebraska-Wyoming State Line to replicate measurements of discharge and stage by extracting features from the images and using measurements from USGS sensors as ground truth.

It is necessary to search images with odd (non-rectangular) regions of interest. Eventually, we want to be able to set those regions of interest automatically without manual intervention, but they will help greatly in algorithm development to get started.

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