{"id":22332565,"url":"https://github.com/theoddysey/image-segmentation-pytorch-transformers","last_synced_at":"2025-10-29T06:43:03.213Z","repository":{"id":196263169,"uuid":"695279379","full_name":"TheODDYSEY/Image-Segmentation-PyTorch-Transformers","owner":"TheODDYSEY","description":"Semantic Segmentation with Segformers","archived":false,"fork":false,"pushed_at":"2023-09-30T19:41:29.000Z","size":13,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-04T04:42:16.074Z","etag":null,"topics":["imageclassification","linear-regression","machine-learning","python"],"latest_commit_sha":null,"homepage":"","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/TheODDYSEY.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,"zenodo":null}},"created_at":"2023-09-22T18:52:26.000Z","updated_at":"2023-11-07T21:44:02.000Z","dependencies_parsed_at":"2025-06-09T07:01:45.875Z","dependency_job_id":null,"html_url":"https://github.com/TheODDYSEY/Image-Segmentation-PyTorch-Transformers","commit_stats":null,"previous_names":["theoddysey/image-segmentation-pytorch-transformers"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/TheODDYSEY/Image-Segmentation-PyTorch-Transformers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FImage-Segmentation-PyTorch-Transformers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FImage-Segmentation-PyTorch-Transformers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FImage-Segmentation-PyTorch-Transformers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FImage-Segmentation-PyTorch-Transformers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TheODDYSEY","download_url":"https://codeload.github.com/TheODDYSEY/Image-Segmentation-PyTorch-Transformers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FImage-Segmentation-PyTorch-Transformers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281577681,"owners_count":26524886,"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","status":"online","status_checked_at":"2025-10-29T02:00:06.901Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["imageclassification","linear-regression","machine-learning","python"],"created_at":"2024-12-04T04:18:45.282Z","updated_at":"2025-10-29T06:43:03.196Z","avatar_url":"https://github.com/TheODDYSEY.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Semantic Segmentation with Segformer\n\nSemantic segmentation is a computer vision task that involves classifying each pixel in an image into a specific category. This repository contains code for performing semantic segmentation using the Segformer model, a transformer-based architecture designed for image segmentation tasks.\n\n\n\n![segformer-architecture](https://github.com/TheODDYSEY/Image-Segmentation-PyTorch-Transformers/assets/98217039/a4251f66-2faa-4027-9424-eb322189ba8f)\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Features](#features)\n- [Getting Started](#getting-started)\n  - [Prerequisites](#prerequisites)\n  - [Installation](#installation)\n- [Usage](#usage)\n- [Custom Segmentation](#custom-segmentation)\n- [Acknowledgments](#acknowledgments)\n\n## Introduction\n\nThis project utilizes the Hugging Face Transformers library and Segformer pre-trained models to perform semantic segmentation on images. Semantic segmentation can be used in various applications, including object recognition, autonomous driving, and medical image analysis.\n\n## Features\n\n- Semantic segmentation using Segformer models.\n- Integration with the Hugging Face Transformers library.\n- Easy-to-use Python API for image segmentation tasks.\n\n## Getting Started\n\n### Prerequisites\n\nBefore you begin, ensure you have met the following requirements:\n\n- Python 3.x\n- Pip (Python package manager)\n- GPU with CUDA support (recommended for faster inference)\n\n### Installation\n\n1. Clone this repository:\n\n   ```bash\n   https://github.com/TheODDYSEY/Image-Segmentation-PyTorch-Transformers.git\n   cd semantic-segmentation\n   ```\n\n2. Install the required Python packages:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Download pre-trained Segformer model weights from Hugging Face (if needed):\n\n   ```bash\n   python download_model.py\n   ```\n\n## Usage\n\nTo perform semantic segmentation on an image, you can use the provided `segment_image.py` script. Here's how to use it:\n\n```bash\npython segment_image.py --image_path path/to/your/image.jpg --output_path path/to/output/mask.png\n```\n\nThis will generate a segmentation mask and save it as a PNG file.\n\n## Custom Segmentation\n\nIf you want to perform semantic segmentation with custom Segformer models or train your own models, you can refer to the code in this repository as a starting point. Make sure to explore the Segformer documentation and Hugging Face Transformers documentation for more details on customizing and training models.\n\n## Acknowledgments\n\n- The Segformer model and pre-trained weights are provided by NVIDIA.\n- This project is built using the Hugging Face Transformers library.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheoddysey%2Fimage-segmentation-pytorch-transformers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheoddysey%2Fimage-segmentation-pytorch-transformers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheoddysey%2Fimage-segmentation-pytorch-transformers/lists"}