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import requests |
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import os |
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def download_images(urls, folder): |
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os.makedirs(folder, exist_ok=True) |
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for i, url in enumerate(urls): |
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response = requests.get(url) |
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with open(f"{folder}/image_{i}.jpg", "wb") as f: |
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f.write(response.content) |
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def identify_bears(images_folder): |
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API_KEY = 'YOUR_API_KEY' |
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url = "https://api.clarifai.com/v2/models/c0c0ac362b03416da06ab3fa36fb58e3/outputs" |
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headers = { |
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"Authorization": f"Key {API_KEY}", |
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"Content-Type": "application/json", |
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} |
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image_files = os.listdir(images_folder) |
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for image_file in image_files: |
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with open(f"{images_folder}/{image_file}", "rb") as f: |
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response = requests.post(url, headers=headers, json={"inputs": [{"data": {"image": {"base64": f.read().hex()}}}]}) |
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data = response.json() |
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concepts = data["outputs"][0]["data"]["concepts"] |
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for concept in concepts: |
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if concept["name"] in ["grizzly bear", "black bear"]: |
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print(f"Image {image_file}: {concept['name']} - Probability: {concept['value']}") |
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if __name__ == "__main__": |
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urls = [ |
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"URL_TO_BEAR_IMAGE_1", |
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"URL_TO_BEAR_IMAGE_2", |
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] |
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download_images(urls, "images") |
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identify_bears("images") |
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