Update README.md
Browse files
README.md
CHANGED
|
@@ -21,6 +21,9 @@ Counter Strike 2 players detector
|
|
| 21 |
|
| 22 |
## All models in this series
|
| 23 |
|
|
|
|
|
|
|
|
|
|
| 24 |
|
| 25 |
## How to use
|
| 26 |
```python
|
|
@@ -41,17 +44,28 @@ model.predict(
|
|
| 41 |
|
| 42 |
## Predict info
|
| 43 |
|
|
|
|
| 44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
|
| 46 |
## Dataset info
|
| 47 |
|
| 48 |
-
Data from over
|
| 49 |
|
|
|
|
|
|
|
|
|
|
| 50 |
|
| 51 |
|
| 52 |
## Train info
|
| 53 |
|
| 54 |
-
The training took place over
|
|
|
|
|
|
|
| 55 |
|
| 56 |
|
| 57 |
|
|
|
|
| 21 |
|
| 22 |
## All models in this series
|
| 23 |
|
| 24 |
+
- [yoloV10n_cs2](https://huggingface.co/Vombit/yolov10n_cs2) (5.5mb)
|
| 25 |
+
- [yoloV10s_cs2](https://huggingface.co/Vombit/yolov10s_cs2) (15.7mb)
|
| 26 |
+
- [yoloV10m_cs2](https://huggingface.co/Vombit/yolov10m_cs2) (31.9mb)
|
| 27 |
|
| 28 |
## How to use
|
| 29 |
```python
|
|
|
|
| 44 |
|
| 45 |
## Predict info
|
| 46 |
|
| 47 |
+
Ultralytics YOLOv8.2.90 🚀 Python-3.12.5 torch-2.3.1+cu121 CUDA:0 (NVIDIA GeForce RTX 4060, 8188MiB)
|
| 48 |
|
| 49 |
+
- yolov10m_cs2_fp16.engine (640x640 5 ts, 5 ths, 2.6ms)
|
| 50 |
+
- yolov10m_cs2.engine (640x640 5 ts, 5 ths, 2.9ms)
|
| 51 |
+
- yolov10m_cs2_fp16.onnx (640x640 5 ts, 5 ths, 32.6ms)
|
| 52 |
+
- yolov10m_cs2.onnx (640x640 5 ts, 5 ths, 40.6ms)
|
| 53 |
+
- yolov10m_cs2.pt (384x640 5 ts, 5 ths, 124.3ms)
|
| 54 |
|
| 55 |
## Dataset info
|
| 56 |
|
| 57 |
+
Data from over 120 games, where the footage has been tagged in detail.
|
| 58 |
|
| 59 |
+
<img width="640" src="https://huggingface.co/Vombit/yolov10m_cs2/resolve/main/labels.jpg">
|
| 60 |
+
|
| 61 |
+
<img width="640" src="https://huggingface.co/Vombit/yolov10m_cs2/resolve/main/labels_correlogram.jpg">
|
| 62 |
|
| 63 |
|
| 64 |
## Train info
|
| 65 |
|
| 66 |
+
The training took place over 150 epochs.
|
| 67 |
+
|
| 68 |
+
<img width="640" src="https://huggingface.co/Vombit/yolov10m_cs2/resolve/main/results.png">
|
| 69 |
|
| 70 |
|
| 71 |
|