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README.md
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---
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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pipeline_tag: object-detection
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tags:
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- yolov10
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- ultralytics
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- yolo
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- object-detection
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- pytorch
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- cs2
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- Counter Strike
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---
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Counter Strike 2 players detector
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## Supported Labels
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```
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[ 'c', 'ch', 't', 'th' ]
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```
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## All models in this series
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## How to use
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```python
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# load Yolo
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from ultralytics import YOLO
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# Load a pretrained YOLO model
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model = YOLO(r'weights\yolov**_cs2.pt')
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# Run inference on 'image.png' with arguments
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model.predict(
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'image.png',
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save=True,
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device=0
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)
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```
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## Predict info
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## Dataset info
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Data from over 100 games, where the footage has been tagged in detail.
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## Train info
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The training took place over 100 epochs.
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You can also support me with a cup of coffee: [donate](https://www.donationalerts.com/r/vombit_donation)
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