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jtpils's Projects

semantic-labeling-of-images icon semantic-labeling-of-images

The supervised learning method described in this project extracts low level features such as edges, textures, RGB values, HSV values, location , number of line pixels per superpixel etc. to train the model using a Support Vector Machine and semantically label the superpixels in test set with labels such as sky, tree, road, grass, water, building, mountains & foreground objects. The results were then compared with ground truth to evaluate the accuracy of the model.

semantic-segmentation-of-satellite-images icon semantic-segmentation-of-satellite-images

This was a contest taken from Codalabs which required the user to semantically segment the tiff formatted satellite images into 6 classes. The code for which is given below.

semantic3dnet icon semantic3dnet

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

semantic_depth icon semantic_depth

Deep learning-based computer vision pipeline to compute the road's width in front of a self-driving car in lane line-deprived environments

semantic_suma icon semantic_suma

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

semanticfusion icon semanticfusion

A real-time visual SLAM system capable of semantically annotating a dense 3D scene.

semanticsfm icon semanticsfm

Semantic Structure from Motion by combining SfM and semantic segmentation

semanticsoftsegmentation icon semanticsoftsegmentation

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

semiblindpsfdeconv icon semiblindpsfdeconv

Code for "Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks" ICIP 2018

semidense-lines icon semidense-lines

Incremental 3D Line Segment Extraction for Surface Reconstruction from Semi-dense SLAM

semseg icon semseg

Semantic Segmentation in Pytorch

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