{"id":28615848,"url":"https://github.com/aakaashjois/plant-tracer","last_synced_at":"2026-04-24T23:32:42.608Z","repository":{"id":44604071,"uuid":"186700853","full_name":"aakaashjois/Plant-Tracer","owner":"aakaashjois","description":"A deep learning approach to tracking the apex of a moving plant","archived":false,"fork":false,"pushed_at":"2022-02-05T09:35:16.000Z","size":31378,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-12T02:11:15.825Z","etag":null,"topics":["deep-learning","neural-networks","object-tracking","opencv-python","python","pytorch"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aakaashjois.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-05-14T21:09:13.000Z","updated_at":"2019-08-08T14:53:53.000Z","dependencies_parsed_at":"2022-09-17T14:31:21.211Z","dependency_job_id":null,"html_url":"https://github.com/aakaashjois/Plant-Tracer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/aakaashjois/Plant-Tracer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aakaashjois%2FPlant-Tracer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aakaashjois%2FPlant-Tracer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aakaashjois%2FPlant-Tracer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aakaashjois%2FPlant-Tracer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aakaashjois","download_url":"https://codeload.github.com/aakaashjois/Plant-Tracer/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aakaashjois%2FPlant-Tracer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32245147,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T13:21:15.438Z","status":"ssl_error","status_checked_at":"2026-04-24T13:21:15.005Z","response_time":64,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["deep-learning","neural-networks","object-tracking","opencv-python","python","pytorch"],"created_at":"2025-06-12T02:10:24.327Z","updated_at":"2026-04-24T23:32:42.592Z","avatar_url":"https://github.com/aakaashjois.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Plant Tracer\r\nA deep learning approach to tracking the apex of a moving plant.\r\n\r\n## Introduction\r\nPlant Tracer is an app designed to enable analysis of plant movement from time-lapse videos. This repository contains a small part of the complete project. Here, I try to track the movement of the plant using a deep learning model to make it robust and work on videos with occlusion while tracking plants.\r\n\r\n## Architecture\r\nThe architecture follows the architecture in [GOTURN](https://arxiv.org/pdf/1604.01802.pdf). The `CaffeNet` pretrained on `CIFAR-100` has been replaced with `AlexNet` pretrained on `ImageNet`.  The architecture of the model is shown below.\r\n![](./misc/architecture.png?raw=True \"Architecture\")\r\n\r\n## Instructions\r\n1. Obtain data from [Plant Tracer homepage](https://www.planttracer.com/).\r\n2. Clone this repository.\r\n3. This project uses `conda` environment. Create the conda virtual environment using `conda env create -f environment.yaml`.\r\n4. Modify the `run.py` file and run it to start the training procedure. This project uses [Comet](https://www.comet.ml) for all visualizations. Add your comet API key in the `run.py` file to see visualizations.\r\n5. The models are saved in `models` folder and validation and testing results are stored in the `logs` directory and can be visualized with the `viz.py` file.\r\n\r\n## Report\r\nThis repository contains the code used for submission of this [Report](./misc/Report.pdf).\r\n\r\n## Result\r\nThe output from validation and testing of the model can be seen below.\r\n#### Validation\r\n![](./misc/validation.gif?raw=True \"Validation\")\r\n#### Tracking Test\r\n![Testing](./misc/testing.gif?raw=True \"Testing\")\r\n\r\n## License\r\nPlant-Tracer is released under [Apache License 2.0](./LICENSE.md).\r\n\r\n## Author\r\nThis repository and the approach has been created by [Aakaash Jois](https://aakaashjois.com).\r\n\r\nThe complete Plant Tracer application has multiple authors and details related to that can be found on [Plant Tracer homepage](https://www.planttracer.com).\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faakaashjois%2Fplant-tracer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faakaashjois%2Fplant-tracer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faakaashjois%2Fplant-tracer/lists"}