{"id":16285685,"url":"https://github.com/abailoni/cellpose-training-server","last_synced_at":"2025-07-18T16:37:07.247Z","repository":{"id":113563593,"uuid":"482944210","full_name":"abailoni/cellpose-training-server","owner":"abailoni","description":null,"archived":false,"fork":false,"pushed_at":"2024-07-31T10:53:28.000Z","size":1192,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-06-07T02:43:08.456Z","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/abailoni.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":"2022-04-18T17:56:14.000Z","updated_at":"2024-07-31T10:53:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"8d055b57-644c-4cb9-9451-d9e826514d2c","html_url":"https://github.com/abailoni/cellpose-training-server","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/abailoni/cellpose-training-server","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abailoni%2Fcellpose-training-server","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abailoni%2Fcellpose-training-server/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abailoni%2Fcellpose-training-server/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abailoni%2Fcellpose-training-server/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abailoni","download_url":"https://codeload.github.com/abailoni/cellpose-training-server/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abailoni%2Fcellpose-training-server/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265793684,"owners_count":23829180,"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":"2024-10-10T19:25:38.482Z","updated_at":"2025-07-18T16:37:07.220Z","avatar_url":"https://github.com/abailoni.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Cellpose Training Server\n\nTool to train custom cellpose models via the browser on a remote server with GPU support, given cellpose training images generated using the [Cellpose Annotation Tool](https://git.embl.de/grp-alexandrov/cellpose-training-gui) tool.\n\n![](images/training-remotely.gif)\n\n## Installation and usage on the server with GPU support\n\n### How to build the docker image\n\n- Clone this repository with `git clone git@git.embl.de:grp-alexandrov/cellpose-training-server.git`\n\n- Move to the repository folder with `cd cellpose-training-server`\n\n- To build the docker image, you will need to provide credentials to access the GitLab repository. Follow instructions [here](https://grp-alexandrov.embl-community.io/napari-spacem-qc/user-guide/access/local-installation.html#setting-up-private-package-registry) if you do not already have a `pip.config` file configured with your credentials. After that, you can use the tokens from your `pip.conf` file for the following command:\n\n  ```\n  docker build -t cellposetrainingserverapp:latest --build-arg CI_DEPLOY_USER=__your_token__ --build-arg CI_DEPLOY_PASSWORD=\"your_password\" ./dockerfiles\n  ```\n\n### How to start the docker image \n\n- If you want to temporarily start the docker image, you can run the following command:\n\n  ```shell\n  docker run -p 8501:8501 --gpus all cellposetrainingserverapp:latest\n  ```\n\n- If you want to start the docker image and keep it running in the background (even when your server is restarted), you can run the following command:\n\n  ```shell\n  docker run -p 8501:8501 --gpus all --restart unless-stopped -d  cellposetrainingserverapp:latest\n  ```\n  \nAfterwards, you can access the tool via the browser at `http://localhost:8501`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabailoni%2Fcellpose-training-server","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabailoni%2Fcellpose-training-server","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabailoni%2Fcellpose-training-server/lists"}