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- ---
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- license: cc-by-nc-nd-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ Counter Strike 2 players detector
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+
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+ ## Supported Labels
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+
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+ ```
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+ [ 'c', 'ch', 't', 'th' ]
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+ ```
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+
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+ ## All models in this series
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+
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+
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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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+
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+ # Load a pretrained YOLO model
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+ model = YOLO(r'weights\yolov**_cs2.pt')
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+
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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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+
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+
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+ ## Predict info
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+
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+
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+
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+ ## Dataset info
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+
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+ Data from over 100 games, where the footage has been tagged in detail.
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+
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+
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+ ## Train info
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+
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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)