{"id":23407377,"url":"https://github.com/raffadndm/computer-vision","last_synced_at":"2026-06-22T19:31:22.576Z","repository":{"id":73361200,"uuid":"248078451","full_name":"RaffaDNDM/Computer-Vision","owner":"RaffaDNDM","description":"Computer Vision algorithms, implemented in C++, using OpenCV library.","archived":false,"fork":false,"pushed_at":"2021-01-23T09:32:06.000Z","size":1160661,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-01T03:50:19.303Z","etag":null,"topics":["cpp"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer Vision Labs\nThe datasets of images used in these lab can be downloaded on [Google Drive](https://drive.google.com/file/d/1YdR-IVwoLjmPVVhKQnajP2ShdHFd8ypb/view?usp=sharing)\n\n### Code\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eHelloWorld\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nLoad an image and analyse its channels.  \n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab1\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nChange color to specific parts of an image.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab2\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nCalibration of camera and rectification of an image.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab3\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nEqualization of histograms and application of convolutional filters on an image.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab4\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nDetection of street lane and street sign in an image using Canny and Hough transform.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab5\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nGeneration of the panoramic view from a set of images.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab6\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nObject recognition and Lucas-Kanade method for optical flow estimation.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eLab7\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nTraining of a Convolutional Neural Network (CNN) to classify images of handwritten characters.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eProject\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nTemplate Matching of some object, from its view and its mask, on some test images.\n\u003c/details\u003e\n\u003cdetails\u003e\u003csummary\u003e\u003cb\u003e\u003ci\u003eSpatialOperations\u003c/b\u003e\u003c/i\u003e\u003c/summary\u003e\nApplication of some spatial operations on an image.\n\u003c/details\u003e\n\n\n### Documentation\nYou can compile all the documentation by using doxygen in this folder:\n```\ndoxygen Doxyfile\n```\nor you can use the same command in each folder, to compile only that doc. In every case, a new folder \"doc\" will be created in the folder in which you are typing the command.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraffadndm%2Fcomputer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraffadndm%2Fcomputer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraffadndm%2Fcomputer-vision/lists"}