{"id":17018224,"url":"https://github.com/rashadgarayev/genderdetectionkeras","last_synced_at":"2025-03-22T16:11:29.612Z","repository":{"id":192344926,"uuid":"176316953","full_name":"RashadGarayev/genderDetectionKeras","owner":"RashadGarayev","description":"gender detection realtime on GUI","archived":false,"fork":false,"pushed_at":"2019-04-19T20:15:39.000Z","size":42338,"stargazers_count":3,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-27T16:47:43.552Z","etag":null,"topics":["classification","deep-learning","gender-detection","keras","opencv","pyqt5"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RashadGarayev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-03-18T15:36:24.000Z","updated_at":"2020-03-04T14:17:28.000Z","dependencies_parsed_at":"2023-09-04T10:34:56.269Z","dependency_job_id":null,"html_url":"https://github.com/RashadGarayev/genderDetectionKeras","commit_stats":null,"previous_names":["rashadgarayev/genderdetectionkeras"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RashadGarayev%2FgenderDetectionKeras","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RashadGarayev%2FgenderDetectionKeras/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RashadGarayev%2FgenderDetectionKeras/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RashadGarayev%2FgenderDetectionKeras/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RashadGarayev","download_url":"https://codeload.github.com/RashadGarayev/genderDetectionKeras/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244982059,"owners_count":20542300,"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":["classification","deep-learning","gender-detection","keras","opencv","pyqt5"],"created_at":"2024-10-14T06:45:01.186Z","updated_at":"2025-03-22T16:11:29.590Z","avatar_url":"https://github.com/RashadGarayev.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\n# Gender detection using deep learning with keras.\nThe keras model is created by training  on 1300 face images (~6500 for each class). Face region is cropped by applying `face detection` using `Opencv` on the images gathered from Google Images.Used 6 gender(male,female) after generated with ImageDataGenerator.\n\n**Note: Python 2.x is not supported**\n\u003cimg src=\"https://camo.githubusercontent.com/ba2171fe9ab58bba2f169b740c35c26bd3cb4241/68747470733a2f2f696d672e736869656c64732e696f2f707970692f707976657273696f6e732f70796261646765732e737667\" alt=\"versions\" data-canonical-src=\"https://img.shields.io/pypi/pyversions/pybadges.svg\" style=\"max-width:100%;\"\u003e\n\n## Python packages\n* numpy\n* tensorflow_gpu\n* OpenCv\n* PyQt5\n* Matplotlib\n\n\nInstall the required packages by executing the following command.\n\n`$ pip install -r requirements.txt`\n\n \n\n\n\n\n\n## Usage\n\n### If you want before training model!\n`$ python train.py`\n\n### Real-time gender detection(webcam)\n\n`$ python deep.py`\n\n\n- If you have an Nvidia GPU, then you can install `tensorflow-gpu` package. It will make things run a lot faster.\nDepending on the hardware configuration of your system, the execution time will vary. On CPU, training will be slow. Please use onlu tensorflow_gpu  GPU .\n\n\n- Minimal:\n- 8gb RAM\n- Core i5\n- Nvidia\n\n\n## Help\nIf you are facing any difficulty, feel free to create a new [issue](https://github.com/RashadGarayev/genderDetectionKeras/issues) or reach out on Facebook [Rashad Garayev](https://www.facebook.com/fly.trion) .\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frashadgarayev%2Fgenderdetectionkeras","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frashadgarayev%2Fgenderdetectionkeras","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frashadgarayev%2Fgenderdetectionkeras/lists"}