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Update README.md
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README.md
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@@ -99,27 +99,44 @@ from PIL import Image
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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from io import BytesIO
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#
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# Load sample
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sample = dataset[0]
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image_url = BASE_URL + sample["file_name"]
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# Load image
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ax.imshow(image)
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x, y, w, h = sample["bbox_x"], sample["bbox_y"], sample["bbox_w"], sample["bbox_h"]
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rect = patches.Rectangle((x, y), w, h, linewidth=2, edgecolor='red', facecolor='none')
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ax.add_patch(rect)
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plt.title(f"{sample['file_name']} | {sample['category_name']}")
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plt.axis("off")
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plt.show()
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```
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## License
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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from io import BytesIO
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from datasets import load_dataset
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# Load the dataset from Hugging Face
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dataset = load_dataset("etri/ForestPersons", split="validation")
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sample = dataset[0]
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# Image URL
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BASE_URL = "https://huggingface.co/datasets/etri/ForestPersons/resolve/main/"
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image_url = BASE_URL + sample["file_name"]
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# Load the image, Please wait about 30 seconds....
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response = requests.get(image_url)
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if response.status_code == 200:
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image = Image.open(BytesIO(response.content))
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# Draw image and bounding box
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fig, ax = plt.subplots()
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ax.imshow(image)
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# Bounding box coordinates
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x = sample["bbox_x"]
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y = sample["bbox_y"]
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w = sample["bbox_w"]
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h = sample["bbox_h"]
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# Draw bounding box
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rect = patches.Rectangle((x, y), w, h, linewidth=2, edgecolor='red', facecolor='none')
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ax.add_patch(rect)
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# Draw label above the bounding box
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label = sample["category_name"]
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ax.text(x, y - 5, label, fontsize=10, color='white', backgroundcolor='red', verticalalignment='bottom')
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plt.axis("off")
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plt.show()
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else:
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print(f"Failed to load image: {image_url}")
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```
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## License
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