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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
import base64
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from pathlib import Path
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import requests
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import json
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URL_REPRESENT = "http://127.0.0.1:5005/represent"
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HEADERS = {"Content-Type": "application/json"}
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def get_base64_from_file(file_path):
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with open(file_path, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
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return f"data:image/jpeg;base64,{encoded_string}"
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DATA_DIR = Path("/Users/markus/Development/theacare/deepface/data")
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if __name__ == "__main__":
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image_path = (
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DATA_DIR
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/ "SELFIE_ID_0_20-0001c8a62e--61a634f7b4827531ac65c81c/271_sets_03_12_21__0001c8a62e--61a634f7b4827531ac65c81c_age_40_name_Daria__Selfie_2.jpg"
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)
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b64encoded_string = get_base64_from_file(image_path)
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payload = {"model_name": "Facenet", "img": b64encoded_string}
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# img_path = "https://raw.githubusercontent.com/serengil/deepface/refs/heads/master/tests/dataset/couple.jpg"
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# payload = {"model_name": "Facenet", "img": img_path}
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response = requests.request(
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"POST", URL_REPRESENT, data=json.dumps(payload), headers=HEADERS
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)
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print(response.text)
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