| base_model: Vombit/yolov9c_cs2 | |
| language: | |
| - en | |
| tags: | |
| - object identification | |
| - cs2 | |
| # Counter Strike 2 players detector | |
| ## Supported Labels | |
| [ 'c', 'ch', 't', 'th' ] | |
| ## models | |
| YOLOv9 | |
| ## How to use | |
| load Yolo | |
| from ultralytics import YOLO | |
| Load a pretrained YOLO model | |
| model = YOLO(r'weights\yolov9_cs2_oi.pt') | |
| Run inference on 'image.png' with arguments | |
| model.predict( | |
| 'image.png', | |
| save=True, | |
| device=0 | |
| ) | |
| Dataset info | |
| [foto] | |
| Train info | |
| [foto] | |
| The training took place over 100 epochs. | |
| [foto] | |