Category: Machine Learning
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![[Kaggle] Minority Report, or the San Francisco Random Forest Precog](https://www.tobias-weis.de/wp-content/uploads/2016/08/ExpoSYFY_-_Minority_Report_10825723756.jpg)
[Kaggle] Minority Report, or the San Francisco Random Forest Precog
I had a little free time on my hand and decided to quickly complete the coursera-course “Data Science at Scale – Practical predictive analytics” of the University of Washington by Bill Howe. The last assignment was to participate in a kaggle competition. For this assignment I chose the “San Francisco Crime Classification” challenge. The task…
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Groundtruth data for Computer Vision with Blender
In the video below you can see the sequence of a car driving in a city scene and braking. The layers I rendered out for groundtruth data are the rendered image with the boundingbox of the car (top left), the emission layer ( shows the brakelights when they start to emit light, top right ),…
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Displacement priors
What is the target of all this ? Driving in an automotive scenario with a given speed and turnrate at any moment, we want to predict the displacement of a 2D-projection (pixel) between two frames: By using the camera-calibration, I can create artificial curves and walls as 3D point-sets and project them back to 2D.…