Merge pull request #1102 from roboflow/rfdetr

Rfdetr Addition

Author: PawelPeczek-Roboflow

docs/fine-tuned/rfdetr.md

@@ -0,0 +1,65 @@
+RF-DETR is Roboflow's new Real-Time SOTA Object Detector.
+
+## Supported Model Types
+
+You can deploy the following RF-DETR model types with Inference:
+
+- Object Detection
+
+## Model Overview
+
+- [Read More About RF-DETR](https://blog.roboflow.com/rf-detr/)
+
+## Usage Example
+
+```
+import os
+import supervision as sv
+from inference import get_model
+from PIL import Image
+from io import BytesIO
+import requests
+
+response = requests.get("https://media.roboflow.com/dog.jpeg")
+
+if response.status_code == 200:
+    image_data = BytesIO(response.content)
+
+    image = Image.open(image_data)
+
+model = get_model("rfdetr-base")
+
+predictions = model.infer(image, confidence=0.5)[0]
+
+detections = sv.Detections.from_inference(predictions)
+
+labels = [prediction.class_name for prediction in predictions.predictions]
+
+annotated_image = image.copy()
+annotated_image = sv.BoxAnnotator().annotate(annotated_image, detections)
+annotated_image = sv.LabelAnnotator().annotate(annotated_image, detections, labels)
+
+sv.plot_image(annotated_image)
+
+annotated_image.save("annotated_image_base.jpg")
+
+model = get_model("rfdetr-large")
+
+predictions = model.infer(image, confidence=0.5)[0]
+
+detections = sv.Detections.from_inference(predictions)
+
+labels = [prediction.class_name for prediction in predictions.predictions]
+
+annotated_image = image.copy()
+annotated_image = sv.BoxAnnotator().annotate(annotated_image, detections)
+annotated_image = sv.LabelAnnotator().annotate(annotated_image, detections, labels)
+
+sv.plot_image(annotated_image)
+
+annotated_image.save("annotated_image_large.jpg")
+```
+
+## License
+
+See our [Licensing Guide](https://roboflow.com/licensing) for more information about how your use of RF-DETR is licensed when using Inference to deploy your model.

inference/core/version.py

@@ -1,4 +1,4 @@
-__version__ = "0.43.0"
+__version__ = "0.44.0"
 
 
 if __name__ == "__main__":

inference/models/README.md

@@ -26,6 +26,7 @@ The models supported by Roboflow Inference have their own licenses. View the lic
 | `inference/models/yolov10`        | [AGPL-3.0](https://github.com/THU-MIG/yolov10/blob/main/LICENSE)                     | ✅ |
 | `inference/models/yolov11`        | [AGPL-3.0](https://github.com/ultralytics/ultralytics/blob/master/LICENSE)           | ✅ |
 | `inference/models/yolov12`        | [AGPL-3.0](https://github.com/sunsmarterjie/yolov12?tab=AGPL-3.0-1-ov-file)          | ✅ |
+| `inference/models/rfdetr`         | [Apache 2.0](https://github.com/roboflow/rf-detr/blob/main/LICENSE)                  | 👍 |
 
 ## Commercial Licenses
 

inference/models/__init__.py

@@ -92,3 +92,4 @@
     YOLOv11ObjectDetection,
 )
 from inference.models.yolov12 import YOLOv12ObjectDetection
+from inference.models.rfdetr import RFDETRObjectDetection

inference/models/aliases.py

@@ -47,6 +47,12 @@
     **YOLOV11_ALIASES,
     **{k.replace("yolov11", "yolo11"): v for k, v in YOLOV11_ALIASES.items()},
 }
+
+RFDETR_ALIASES = {
+    "rfdetr-base": "coco/36",
+    "rfdetr-large": "coco/37",
+}
+
 REGISTERED_ALIASES = {
     "yolov8n-640": "coco/3",
     "yolov8n-1280": "coco/9",
@@ -87,6 +93,7 @@
     **FLORENCE_ALIASES,
     **YOLOV11_ALIASES,
     **QWEN_ALIASES,
+    **RFDETR_ALIASES,
 }
 
 

inference/models/rfdetr/LICENSE.txt

@@ -0,0 +1,202 @@
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inference/models/rfdetr/__init__.py

@@ -0,0 +1,3 @@
+from inference.models.rfdetr.rfdetr import RFDETRObjectDetection
+
+__all__ = ["RFDETRObjectDetection"]