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--- |
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license: apache-2.0 |
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--- |
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<div style="text-align:center;"> |
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<img style="margin: 0 auto;" width="700" src="https://huggingface.co/Jonathancasjar/Retail_Shelves/resolve/main/test_images/image.png"/> |
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</div> |
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- Install yolov5: |
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```bash |
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pip install yolov5==7.0.5 |
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``` |
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- Set image |
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```bash |
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wget -O 'image.jpg' 'https://images.unsplash.com/photo-1556767576-cf0a4a80e5b8?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8NXx8c3VwZXJtYXJrZXQlMjBzaGVsdmVzfGVufDB8fDB8fHww&w=1000&q=80' |
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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('Jonathancasjar/Retail_Shelves') |
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# set model parameters |
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model.conf = 0.25 # NMS confidence threshold |
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# set an image |
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img = '/content/image.jpg' |
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# perform inference |
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results = model(img, size=640) |
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# inference with test time augmentation |
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results = model(img, augment=True) |
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# parse results |
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predictions = results.pred[0] |
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boxes = predictions[:, :4] # x1, y1, x2, y2 |
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scores = predictions[:, 4] |
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categories = predictions[:, 5] |
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# show detection bounding boxes on image |
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results.show() |
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# save results into "results/" folder |
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results.save(save_dir='results/') |
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``` |
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