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Prerequisites (in debian-based distro): sudo apt install build-essential cmake libboost-filesystem-dev libopencv-dev libomp-dev sudo apt install libceres-dev libyaml-cpp-dev libgtest-dev libeigen3-dev Build and run the executable: mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release .. make Test the two applications (located inside the bin/ folder) ./matcher <calibration parameters filename> <images folder filename> <output data file> [focal length scale] ./basic_sfm <input data file> <output ply file> Datasets In the dataset/ folder there are two simple datasets with a collection of images, the corresponding camera calibration parameters file, and two preprocessed data files with the results of detection and feature matching for the two datasets to be used directly with basic_sfm. Examples For the provided datasets, set the focal lenght scale to 1.1, e.g.: ./matcher datasets/3dp_cam.yml datasets/images_1 data1.txt 1.1 ./matcher datasets/3dp_cam.yml datasets/images_2 data2.txt 1.1 ./basic_sfm data1.txt cloud1.ply ./basic_sfm data2.txt cloud2.ply
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3D data processing - homework 2
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