Vombit/yolov10b_cs2
By Vombit · ↓ 4 · ♥ 0 · Updated 2026-01-21
What's in this repo
This page lists the files in Vombit/yolov10b_cs2, including yolov10b_cs2.onnx, yolov10b_cs2_fp16.onnx.
- 2 ONNX models (.onnx files)
- 10 files, including 2 .jpg, 2 .engine, 2 .onnx, 1 .md, 1 .png, 1 .pt
- Last updated 2026-01-21
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Counter Strike 2 players detector
Supported Labels
[ 'c', 'ch', 't', 'th' ]
All models in this series
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 YOLOv8.2.90 🚀 Python-3.12.5 torch-2.3.1+cu121 CUDA:0 (NVIDIA GeForce RTX 4060, 8188MiB)
- yolov10b_cs2_fp16.engine (640x640 5 ts, 5 ths, 7.1ms)
- yolov10b_cs2.engine (640x640 5 ts, 5 ths, 11.2ms)
- yolov10b_cs2_fp16.onnx (640x640 5 ts, 5 ths, 246.2ms)
- yolov10b_cs2.onnx (640x640 5 ts, 5 ths, 257.6ms)
- yolov10b_cs2.pt (384x640 5 ts, 5 ths, 114.4ms)
Dataset info
Data from over 120 games, where the footage has been tagged in detail.
Train info
The training took place over 150 epochs.
Model info
Created: 2024-09-23
Updated: 2026-01-21
View on Hugging Face