Instructions to use thangkt/PCB-Prune-YOLO-P10-DepGraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use thangkt/PCB-Prune-YOLO-P10-DepGraph with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("thangkt/PCB-Prune-YOLO-P10-DepGraph") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| model,sparse_learning,pruning_ratio,params,macs,mAP50,mAP50-95,latency_ms,fps,model_size_mb | |
| baseline,no,0,3012018,4073266400,0.98630,0.78524,8.289,120.64,5.968 | |
| p10_reg5e4_before_ft,yes,0.10,2415613,3232802400,0.0024274871,0.0003512981,10.126654,98.749299,9.512684 | |
| p10_reg5e4_after_ft,yes,0.10,2415613,3232802400,0.9812432157,0.7631779975,9.718659,102.894852,4.850336 | |