{"id":15700357,"url":"https://github.com/soumik12345/kinect-vision","last_synced_at":"2025-05-07T08:32:12.908Z","repository":{"id":106255958,"uuid":"162336915","full_name":"soumik12345/Kinect-Vision","owner":"soumik12345","description":"A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.","archived":false,"fork":false,"pushed_at":"2020-05-03T13:22:41.000Z","size":27401,"stargazers_count":53,"open_issues_count":1,"forks_count":13,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-31T08:12:09.261Z","etag":null,"topics":["computer-vision","gaming","gesture-recognition","opencv","opencv3-python","python-3","sign-language-recognition-system"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/soumik12345.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-12-18T19:36:45.000Z","updated_at":"2024-10-18T07:10:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"6e4491c0-b3ef-4914-878f-d33d807e441d","html_url":"https://github.com/soumik12345/Kinect-Vision","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/soumik12345%2FKinect-Vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FKinect-Vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FKinect-Vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FKinect-Vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/soumik12345","download_url":"https://codeload.github.com/soumik12345/Kinect-Vision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252842826,"owners_count":21812752,"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":["computer-vision","gaming","gesture-recognition","opencv","opencv3-python","python-3","sign-language-recognition-system"],"created_at":"2024-10-03T19:48:10.825Z","updated_at":"2025-05-07T08:32:12.883Z","avatar_url":"https://github.com/soumik12345.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Kinect-Vision\n\n[![HitCount](http://hits.dwyl.com/soumik12345/Kinect-Vision.svg)](http://hits.dwyl.com/soumik12345/Kinect-Vision)\n\nA computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures. Currently the system has been tested on the [**T-Rex Runner** game](http://www.trex-game.skipser.com/).\n\n\u003cimg src=\"https://github.com/soumik12345/Kinect-Vision/blob/master/2019-03-30%20(1).png\"\u003e\n\n## Installation\n\n1. Clone the repo using `git clone https://github.com/soumik12345/Kinect-Vision`\n2. Use `cd Kinect-Vision` to get inside the folder\n3. Create a new conda environment using `conda create --name kinect_vision`\n4. Activate the environment using `activate kinect_vision`\n5. Install the requirements using `pip install -r requirements.txt`\n\n## Run The Program\n\n1. Run the program using `python3 main.py` or `python main.py` or `ipython main.py`\n2. Select the Camera port (choose `0` if you are using a laptop)\n3. Tune the upper and lower thresholds using the trackbars unless the gestures are being detected accurately enough. Ideally the lower threshold is around `130` and the upper threshold is `255`.\n4. Once the detection is working satisfactorily, switch on `Game On` and open the game window\n5. If you want to change the control scheme, you can do so by editing the `config.json` file.\n\n## Demo\n\n\u003cimg src=\"https://github.com/soumik12345/Kinect-Vision/blob/master/output.gif\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Fkinect-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoumik12345%2Fkinect-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Fkinect-vision/lists"}