{"library":"rfdetr","type":"library","category":null,"description":"RF-DETR is a PyTorch-based library for object detection and instance segmentation, implementing the DETR architecture with enhancements. It provides tools for training, inference, and deployment, integrating with PyTorch Lightning for composable training workflows. The library is actively maintained, with version 1.6.4 released recently, and receives frequent updates.","language":"python","status":"active","version":"1.6.4","tags":["object-detection","segmentation","pytorch-lightning","computer-vision","detr"],"install":[{"cmd":"pip install rfdetr","imports":["from rfdetr import RFDETRSmall","from rfdetr import RFDETRBase","from rfdetr import RFDETRLarge","from rfdetr.data import DetectionDataset"]},{"cmd":"pip install \"rfdetr[train]\"","imports":[]}],"homepage":"https://rfdetr.com","github":"https://github.com/roboflow/rf-detr","docs":null,"changelog":null,"pypi":"https://pypi.org/project/rfdetr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":65,"avg_install_s":82.6,"avg_import_s":21.56,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/rfdetr/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}