{"id":16428160,"url":"https://github.com/nazanin1369/semantic-segmentation","last_synced_at":"2026-04-11T21:05:17.503Z","repository":{"id":77814643,"uuid":"117076079","full_name":"Nazanin1369/Semantic-Segmentation","owner":"Nazanin1369","description":"Fully Convolutional Network (FCN)","archived":false,"fork":false,"pushed_at":"2018-01-11T09:07:48.000Z","size":2410,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-07T20:49:41.367Z","etag":null,"topics":["deep-learning","fcn","self-driving-car"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/Nazanin1369.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":"2018-01-11T09:05:47.000Z","updated_at":"2018-01-11T09:07:11.000Z","dependencies_parsed_at":"2023-06-04T20:00:18.318Z","dependency_job_id":null,"html_url":"https://github.com/Nazanin1369/Semantic-Segmentation","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/Nazanin1369%2FSemantic-Segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nazanin1369%2FSemantic-Segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nazanin1369%2FSemantic-Segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nazanin1369%2FSemantic-Segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Nazanin1369","download_url":"https://codeload.github.com/Nazanin1369/Semantic-Segmentation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240616123,"owners_count":19829700,"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":["deep-learning","fcn","self-driving-car"],"created_at":"2024-10-11T08:15:19.363Z","updated_at":"2026-04-11T21:05:17.466Z","avatar_url":"https://github.com/Nazanin1369.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Semantic Segmentation\n### Introduction\nIn this project the pixels of a road in images are labelled using a Fully Convolutional Network (FCN).\nThe network uses the architecture described in [Long et al.](https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf)\nand is trained on the [Kitti Road dataset](http://www.cvlibs.net/datasets/kitti/eval_road.php).\n\n[//]: # (Image References)\n[image1]: ./images/um_000032.png\n[image2]: ./images/um_000093.png\n[image3]: ./images/umm_000032.png\n[image4]: ./images/umm_000063.png\n[image5]: ./images/uu_000082.png\n[video1]: ./images/project_video.mp4\n\nSome of the results are shown below:\n\n![sample][image1]\n![sample][image2]\n![sample][image3]\n![sample][image4]\n\nThe code performs a hyperparameter search using 200 epochs for training each network. \nA test of the trained network on road conditions very different to the training data can be found here [project_video](./images/project_video.mp4)\n\n### Setup\n##### Frameworks and Packages\nMake sure you have the following is installed:\n - [Python 3](https://www.python.org/)\n - [TensorFlow](https://www.tensorflow.org/)\n - [NumPy](http://www.numpy.org/)\n - [SciPy](https://www.scipy.org/)\n##### Dataset\nDownload the [Kitti Road dataset](http://www.cvlibs.net/datasets/kitti/eval_road.php) from [here](http://www.cvlibs.net/download.php?file=data_road.zip).  Extract the dataset in the `data` folder.  This will create the folder `data_road` with all the training a test images.\n\n### Start\n##### How to Run\nRun the following command to run the project:\n```\npython main.py\n```\n**Note** If running this in Jupyter Notebook system messages, such as those regarding test status, may appear in the terminal rather than the notebook.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnazanin1369%2Fsemantic-segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnazanin1369%2Fsemantic-segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnazanin1369%2Fsemantic-segmentation/lists"}