{"id":13738538,"url":"https://github.com/PiePline/pietoolbelt","last_synced_at":"2025-05-08T16:34:32.896Z","repository":{"id":43651924,"uuid":"261175603","full_name":"PiePline/pietoolbelt","owner":"PiePline","description":"Toolbelt for PiePline training pipeline","archived":false,"fork":false,"pushed_at":"2023-05-01T13:45:34.000Z","size":180,"stargazers_count":1,"open_issues_count":7,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-07T16:49:42.454Z","etag":null,"topics":["computer-vision","dataset","deep-learning","loss-functions","metrics","neural-network"],"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/PiePline.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}},"created_at":"2020-05-04T12:55:56.000Z","updated_at":"2021-12-10T09:54:59.000Z","dependencies_parsed_at":"2024-04-16T22:50:50.569Z","dependency_job_id":"a4fb6a6a-9fc6-4388-8847-3175dd9974dc","html_url":"https://github.com/PiePline/pietoolbelt","commit_stats":{"total_commits":115,"total_committers":5,"mean_commits":23.0,"dds":"0.23478260869565215","last_synced_commit":"bcf9cab16bf3dbb19015c074a305f9ea8a8dc48e"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PiePline%2Fpietoolbelt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PiePline%2Fpietoolbelt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PiePline%2Fpietoolbelt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PiePline%2Fpietoolbelt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PiePline","download_url":"https://codeload.github.com/PiePline/pietoolbelt/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252978685,"owners_count":21834913,"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":["computer-vision","dataset","deep-learning","loss-functions","metrics","neural-network"],"created_at":"2024-08-03T03:02:25.966Z","updated_at":"2025-05-08T16:34:32.590Z","avatar_url":"https://github.com/PiePline.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# PiePline toolbelt\n\n# Installation:\n[![PyPI version](https://badge.fury.io/py/pietoolbelt.svg)](https://badge.fury.io/py/pietoolbelt)\n[![PyPI Downloads/Month](https://pepy.tech/badge/pietoolbelt/month)](https://pepy.tech/project/pietoolbelt)\n[![PyPI Downloads](https://pepy.tech/badge/pietoolbelt)](https://pepy.tech/project/pietoolbelt)\n\n`pip install pietoolbelt`\n\n##### Install latest version before it's published on PyPi\n`pip install -U git+https://github.com/PiePline/pietoolbelt`\n\n# Functional\n* `augmentations`\n    * `augmentations.detection` - predefined augmentations for detection task\n    * `augmentations.segmentation` - predefined augmentations for segmentation task\n* `datasets`\n    * `datasets.stratification` - stratification by histogram\n    * `datasets.utils` - set of datasets constructors that\n* `losses`\n    * `losses.common` - losses utils\n    * `losses.regression` - regression losses\n    * `losses.segmentation` - losses for single and multi-class segmentation\n    * `losses.detection` - losses for detection task\n* `metrics` - \n    * `metrics.common` - common utils for metrics\n    * `cpu` - metrics, that calculates by `numpy`\n        * `metrics.cpu.classification` - classification metrics\n        * `metrics.cpu.detection` - detection metrics\n        * `metrics.cpu.regression` - regression metrics\n        * `metrics.cpu.segmentation` - segmentation metrics\n    * `torch` - metrics, that calculates by `torch`\n        * `metrics.torch.classification` - classification metrics\n        * `metrics.torch.detection` - detection metrics\n        * `metrics.torch.regression` - regression metrics\n        * `metrics.torch.segmentation` - segmentation metrics\n* `models` - models zoo and constructors\n    * `decoders.unet` - UNet decoder, that automatically constructs by encoder\n    * `encoders.common` - basic interfaces for encoders\n    * `encoders.inception` - InceptionV3 encoder\n    * `encoders.mobile_net` - MobileNetV2 encoder\n    * `encoders.resnet` - ResNet encoders\n    * `albunet` - albunet model\n    * `utils` - models utils\n    * `weights_storage` - pretrained weights storage\n* `steps` - some training process steps\n    * `regression.train` - train step for regression task\n    * `regression.bagging` - bagging step for regression task\n    * `segmentation.bagging` - bagging step for segmentation task\n    * `segmentation.inference` - inference for segmentation model\n    * `segmentation.predict` - predict step for segmentation task\n    * `stratification` - dataset stratification class\n* `img_matcher` - image comparison and matching tool based on descriptors\n* `mask_composer` - mask composer tools that can effectively combine masks for regular, instance or multiclass segmentation\n* `train_config` - some predefined train configs for [PiePline](https://github.com/PiePline/piepline)\n* `tta` - test time augmentations \n* `utils` - some utils\n* `viz` - image visualisation tools\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPiePline%2Fpietoolbelt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FPiePline%2Fpietoolbelt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPiePline%2Fpietoolbelt/lists"}