{"id":16628478,"url":"https://github.com/kevintab95/de_kfe","last_synced_at":"2025-03-21T15:31:16.892Z","repository":{"id":93696434,"uuid":"91179422","full_name":"kevintab95/DE_KFE","owner":"kevintab95","description":"Key Frame Extraction using Differential Evolution","archived":false,"fork":false,"pushed_at":"2018-10-04T09:42:28.000Z","size":5,"stargazers_count":35,"open_issues_count":1,"forks_count":10,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-01T07:23:28.597Z","etag":null,"topics":["differential-evolution","extracts-key-frames","genetic-algorithm","keyframe","opencv","video-processing"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kevintab95.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-05-13T14:20:56.000Z","updated_at":"2025-01-06T05:50:42.000Z","dependencies_parsed_at":"2023-06-01T00:26:49.534Z","dependency_job_id":null,"html_url":"https://github.com/kevintab95/DE_KFE","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevintab95%2FDE_KFE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevintab95%2FDE_KFE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevintab95%2FDE_KFE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevintab95%2FDE_KFE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kevintab95","download_url":"https://codeload.github.com/kevintab95/DE_KFE/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244822633,"owners_count":20516143,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["differential-evolution","extracts-key-frames","genetic-algorithm","keyframe","opencv","video-processing"],"created_at":"2024-10-12T04:33:25.047Z","updated_at":"2025-03-21T15:31:16.567Z","avatar_url":"https://github.com/kevintab95.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DE_KFE\nKey Frame Extraction using Differential Evolution\n\nPython scripts that implement DE for extraction of key frames from a video stream.\n\nNOTE: This repository is intended as a backup for my final year project files.\n\nRequirements:\n* Python 2.7\n* Additional Python libraries:\n  * cv2\n  * skimage\n  * imageio\n\nThis repository contains five python scripts:\n\n1. DE_SSIM.py\n\n   This script uses Average SSIM as the fitness function.  \n   Input: JPEG images (frames from a video)  \n   Output: GIF image containing all the extracted key frames.\n  \n2. DE_Entropy.py\n\n   This script uses Average Entropy Difference as the fitness function.  \n   Input: JPEG images (frames from a video)  \n   Output: GIF image containing all the extracted key frames.\n  \n3. DE_Euclidean.py\n\n   This script uses Average Euclidean Distance as the fitness function.  \n   Input: JPEG images (frames from a video)  \n   Output: GIF image containing all the extracted key frames.\n  \n4. DE_LIVE.py\n\n   This script uses Average Euclidean Distance as the fitness function. It extracts key frames from a live video,\n   it will output a GIF image containing the extracted key frames periodically \n   (depending on how many frames to read and number of key frames required).  \n   Input: JPEG images (output from capture_xframes)  \n   Output: GIF image containing all the extracted key frames.\n  \n5. capture_xframes.py\n\n   This script captures webcam stream and saves the frames as JPEG files.\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevintab95%2Fde_kfe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkevintab95%2Fde_kfe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevintab95%2Fde_kfe/lists"}