Yolo11n Basketball Court Keypoints
Fine-tuned yolo11n-pose.pt on koppolusameer/basketball-keypoint-detection-yolov8 (48-slot court skeleton) to detect court landmarks in broadcast frames.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 7,57 MB
- Versão
- vRevision 6cb8992
- Atualizado
- 10 de out. de 2026
- Downloads
- 126
- Fonte
- Hugging Face
Descrição da fonte
YOLO11n basketball court keypoint detector
Fine-tuned yolo11n-pose.pt on koppolusameer/basketball-keypoint-detection-yolov8
(48-slot court skeleton) to detect court landmarks in broadcast frames.
Outputs keypoints in PIXEL coordinates. Converting to court coordinates (homography) is a separate downstream step requiring an index->court-location map.
Load & run
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
weights = hf_hub_download("koppolusameer/yolo11n-basketball-court-keypoints", "best.pt")
model = YOLO(weights)
r = model("frame.jpg")[0]
kxy = r.keypoints.xy[0].cpu().numpy() # (48,2) pixel coords
kconf = r.keypoints.conf[0].cpu().numpy() # (48,) confidence
Fontes
1 fonte
Fontes
1 fonteVerificado 10 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- license: agpl-3.0 tags: [ultralytics, yolo11, pose, keypoint-detection, basketball, court-registration] library_name: ultralytics --- # YOLO11n basketball court keypoint detector Fine-tuned `yolo11n-pose.pt` on `koppolusameer/basketball-keypoint-detection-yolov8` (48-slot court skeleton) to detect court landmarks in broadcast frames. Outputs keypoints in PIXEL coordinates. Converting to court coordinates (homography) is a separate downstream step requiring an index->court-location map. ## Load & run ```python from ultralytics import YOLO from huggingface_hub import hf_hub_download weights = hf_hub_download("koppolusameer/yolo11n-basketball-court-keypoints", "best.pt") model = YOLO(weights) r = model("frame.jpg")[0] kxy = r.keypoints.xy[0].cpu().numpy() # (48,2) pixel coords kconf = r.keypoints.conf[0].cpu().numpy() # (48,) confidence ```
Source context: 126 downloads · 0 likes · Pipeline keypoint-detection · Library ultralytics · Repo koppolusameer/yolo11n-basketball-court-keypoints
Source context: 70 downloads · 0 likes · Pipeline keypoint-detection · Library ultralytics · Repo koppolusameer/yolo11n-basketball-court-keypoints
