Vombit/yolov9c_cs2

Counter Strike 2 players detector

Supported Labels

[ 'c', 'ch', 't', 'th' ]

All models

• yoloV8n_cs2 (6mb)
• yoloV8s_cs2 (21mb)
• yoloV9c_cs2 (50mb)

How to use

# load Yolo
from ultralytics import YOLO

# Load a pretrained YOLO model
model = YOLO(r'weights\yolov**_cs2.pt')

# Run inference on 'image.png' with arguments
model.predict(
    'image.png',
    save=True,
    device=0
    )

Predict info

Ultralytics YOLOv8.2.3 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (NVIDIA GeForce RTX 4060, 8187MiB):

• yolov9c_cs2_fp16.engine (640x640 5 ts, 5 ths, 5.0ms)
• yolov9c_cs2.engine (640x640 5 ts, 5 ths, 15.1ms)
• yolov9c_cs2.onnx (640x640 5 ts, 5 ths, 27.5ms)
• yolov9c_cs2.pt (384x640 5 ts, 5 ths, 272.8ms)

Dataset info

Data from over 70 games, where the footage has been tagged in detail.

Train info

The training took place over 100 epochs.

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