Andy Bosyi: Contour Detection using Differentiable Programming
- 1. mindcraft.ai Contour Detection using Differentiable Programming - openCV BLOB + Convex Hull - edge detection - semantic segmentation with CNNs - contour -> point opencv.org
- 2. mindcraft.ai Input Data - AHN - Actual Heights Netherlands - variety of objects - granularity 10-30cm - limited coverage ahn.nl
- 3. mindcraft.ai Data Processing - blob detection - clustering - point cloud -> heatmap
- 4. mindcraft.ai
- 5. mindcraft.ai Classical to Differentiable Coding make code vectorized and parallel replace constant with weights replace conditions with sigmoid replace loops with vectors and RNN soft and smooth everywhere colah.github.io, wikipedia.org
- 6. mindcraft.ai Build a Plane by three points - find NORM of two available vectors - every vector on the plane has to be orthogonal to the NORM - take any (X,Y) point as a top of vector - calculate Z having X and Y in Grid wikipedia.org
- 7. mindcraft.ai Fill Polygon (Shadow) - break polygon by edges - every co-vector to the given edge will have positive or negative Z of cross product, depending on the position - use third given point as a flag and compare the previous result to it - combine as SUM wikipedia.org
- 8. mindcraft.ai Sigmoid 3D - break polygon by edges - calc distance from every point to the edge - reverse use Pythagorean Theorem - apply sign from polygon to the distance and take sigmoid - combine as PROD wikipedia.org, researchgate.net
- 10. mindcraft.ai Training Results Visualization - extra noise caused by smoothing - balance between accuracy and scope
- 11. mindcraft.ai Next Steps - from contour to 3D - more polygons - control overlapping - control focusing - side view aux models
- 12. mindcraft.ai EMNIST handwritten recogniser using Differentiable Programming
- 14. mindcraft.ai Das ist MindCraft Decision-making Engines for Data-driven Businesses, especially: - Document and Web pages Classification, Capturing (NLP, CNN, CV, NER) - Price Prediction (DNN, Regression, Prognosis) - Command Centers for IoT systems (RNN, Time Series, Anomaly Detection) - Computer Vision and Object Detection - Data Analysis and Generation