{"id":15908379,"url":"https://github.com/hardikdava/eyeq-foundation","last_synced_at":"2025-04-03T00:22:27.809Z","repository":{"id":176098957,"uuid":"652296273","full_name":"hardikdava/EyeQ-Foundation","owner":"hardikdava","description":null,"archived":false,"fork":false,"pushed_at":"2023-09-03T11:57:53.000Z","size":200,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T14:29:57.645Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/hardikdava.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-06-11T17:47:43.000Z","updated_at":"2025-01-11T12:09:14.000Z","dependencies_parsed_at":null,"dependency_job_id":"c5dd4aea-a210-4d5d-a0df-0a8ff67c75f7","html_url":"https://github.com/hardikdava/EyeQ-Foundation","commit_stats":{"total_commits":25,"total_committers":2,"mean_commits":12.5,"dds":0.28,"last_synced_commit":"c1259cb96dda46ed4a43b54ef377ad78f1744e10"},"previous_names":["hardikdava/eyeq-foundation"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hardikdava%2FEyeQ-Foundation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hardikdava%2FEyeQ-Foundation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hardikdava%2FEyeQ-Foundation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hardikdava%2FEyeQ-Foundation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hardikdava","download_url":"https://codeload.github.com/hardikdava/EyeQ-Foundation/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246912495,"owners_count":20853868,"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":[],"created_at":"2024-10-06T14:21:02.033Z","updated_at":"2025-04-03T00:22:27.785Z","avatar_url":"https://github.com/hardikdava.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EyeQ-Foundation\n\nEyeQ-Foundation is a repository contains some zero shot computer vision models. The aim of this project is to make process automatic. For example automatic label service.\n\nFuncationalities:\n\n- Zero Shot Object Detection\n- Auto Label image from directory\n- REST API service\n- Pip installation\n- Docker installatin for REST Server using FastAPI\n- CLIP to correctly identify the labels\n\n\n## Available Models:\n\n- Segment Anything\n- Grounding Dino\n \n## TODO:\n\n- [ ] Segment Anything HQ\n- [ ] Batched Inference\n- [ ] RAM\n- [ ] Tag2Text\n- [ ] Knowledge Distillation application\n- [ ] CLIP \n\n\n## How to use\n\n### Pip Package:\n\n**Installation:**\n\n```\npip install git+https://github.com/facebookresearch/segment-anything.git\npip install git+https://github.com/IDEA-Research/GroundingDINO.git\npip install git+https://github.com/openai/CLIP.git\n```\n\n**Usage in code:**\n\n```\nfrom eyeq_foundation import SAM, Dino\nteacher_model = SAM()\n```\n\n\n### Docker Service:\n\n**Build :**\n```\ndocker build -t eyeq-foundation -f docker/Dockerfile-cpu .\n```\n\n**Start:**\n\n```\ndocker run -d --name eyeq-foundation -p 9000:9000 eyeq-foundation\n```\n\n**Logs:**\n\n```\ndocker container logs eyeq-foundation\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhardikdava%2Feyeq-foundation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhardikdava%2Feyeq-foundation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhardikdava%2Feyeq-foundation/lists"}