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--- |
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license: gpl-3.0 |
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inference: false |
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tags: |
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- instance-segmentation |
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- computer-vision |
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- vision |
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- yolo |
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- yolov5 |
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--- |
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### How to use |
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- Install yolov5: |
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```bash |
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pip install -U yolov5 |
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``` |
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- Load model and perform prediction: |
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```python |
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import yolov5 |
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# load model |
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model = yolov5.load('fcakyon/yolov5n-seg-v7.0') |
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# set image |
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img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg' |
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# perform inference |
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results = model(img) |
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``` |
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- Finetune the model on your custom dataset: |
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```bash |
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yolov5 segment train --img 128 --weights fcakyon/yolov5n-seg-v7.0 --epochs 1 --device cpu |
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``` |
