{"id":21701443,"url":"https://github.com/aman-17/tshirt-segmentation-using-mrcnn","last_synced_at":"2026-05-18T01:32:58.640Z","repository":{"id":159382330,"uuid":"447182625","full_name":"aman-17/tshirt-segmentation-using-mrcnn","owner":"aman-17","description":"Tshirt instance segmentation using MRCNN.","archived":false,"fork":false,"pushed_at":"2022-01-12T11:05:37.000Z","size":75949,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"develop_rcnn","last_synced_at":"2025-03-20T15:50:38.861Z","etag":null,"topics":["artificial-intelligence","computer-vision","deep-learning","image-segmentation","mrcnn","rcnn","segmentation"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aman-17.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":"2022-01-12T10:59:08.000Z","updated_at":"2024-02-20T16:06:47.000Z","dependencies_parsed_at":"2023-06-12T11:00:17.019Z","dependency_job_id":null,"html_url":"https://github.com/aman-17/tshirt-segmentation-using-mrcnn","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/aman-17/tshirt-segmentation-using-mrcnn","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-17%2Ftshirt-segmentation-using-mrcnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-17%2Ftshirt-segmentation-using-mrcnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-17%2Ftshirt-segmentation-using-mrcnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-17%2Ftshirt-segmentation-using-mrcnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aman-17","download_url":"https://codeload.github.com/aman-17/tshirt-segmentation-using-mrcnn/tar.gz/refs/heads/develop_rcnn","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-17%2Ftshirt-segmentation-using-mrcnn/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33161724,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T22:39:12.733Z","status":"ssl_error","status_checked_at":"2026-05-17T22:39:10.741Z","response_time":107,"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":["artificial-intelligence","computer-vision","deep-learning","image-segmentation","mrcnn","rcnn","segmentation"],"created_at":"2024-11-25T20:19:58.168Z","updated_at":"2026-05-18T01:32:58.612Z","avatar_url":"https://github.com/aman-17.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Mask R-CNN for Object Detection and Segmentation\n\nThis is an implementation of [Mask R-CNN](https://arxiv.org/abs/1703.06870) on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.\n\n![Instance Segmentation Sample](assets/street.png)\n\n## Requirements\nPython 3.6.9 and other common packages listed in `requirements.txt`. **Do not install different versions of tensorflow and keras.**\n\n## Installation\n1. Clone this repository\n2. Install dependencies\n   ```bash\n   pip3 install -r requirements.txt\n   ```\n3. Run train.py file\n   ```bash\n   python3 train.py\n   ```\n\n# Getting Started\n* Download the [tshirt dataset .zip file](https://drive.google.com/file/d/1aGLstfgFbBMZih_OaBaiuB40ZI8DxLpK/view?usp=sharing) from here and extract it. Annotations file is inside the folder with name ``` annotations_train.json ```\n\n* ([model.py](mrcnn/model.py), [utils.py](mrcnn/utils.py), [config.py](mrcnn/config.py)): These files contain the main Mask RCNN implementation. \n\n* ([train.py](train.py)): To train the model use this file. Use the same path for _dataset_train_ and _dataset_val_ in **train.py** as we are using 10% of images from training dataset for measuring validation loss.\n\n* ([train_mask_rcnn_demo.py](demo/train_mask_rcnn_demo.py)) is used give no. of classes, batch size, steps_per_epoch, epochs, gpu_count, images_per_gpu. Change them as per your convinence wrt your GPU.  You can change epochs in ```train_head``` and ```train_all_layers``` functions in `line267`  and `line274` respectively.\n\n* For Downloading the dataset \n\npip install gdown \n ```gdown --fuzzy https://drive.google.com/file/d/1aGLstfgFbBMZih_OaBaiuB40ZI8DxLpK/view?usp=sharing```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faman-17%2Ftshirt-segmentation-using-mrcnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faman-17%2Ftshirt-segmentation-using-mrcnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faman-17%2Ftshirt-segmentation-using-mrcnn/lists"}