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Use represent and verify via API

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This commit is contained in:
Markus Hinsche 2024-11-11 14:13:26 +01:00
parent 2a50b85c6a
commit 9684a15b45
3 changed files with 202 additions and 17 deletions
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17
scripts/mh_use_api.py
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34
scripts/mh_use_api_represent.py Normal file
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import base64
from pathlib import Path
import requests
import json
URL_REPRESENT = "http://127.0.0.1:5005/represent"
HEADERS = {"Content-Type": "application/json"}
def get_base64_from_file(file_path):
with open(file_path, "rb") as image_file:
encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
return f"data:image/jpeg;base64,{encoded_string}"
DATA_DIR = Path("/Users/markus/Development/theacare/deepface/data")
if __name__ == "__main__":
image_path = (
DATA_DIR
/ "SELFIE_ID_0_20-0001c8a62e--61a634f7b4827531ac65c81c/271_sets_03_12_21__0001c8a62e--61a634f7b4827531ac65c81c_age_40_name_Daria__Selfie_2.jpg"
)
b64encoded_string = get_base64_from_file(image_path)
payload = {"model_name": "Facenet", "img": b64encoded_string}
# img_path = "https://raw.githubusercontent.com/serengil/deepface/refs/heads/master/tests/dataset/couple.jpg"
# payload = {"model_name": "Facenet", "img": img_path}
response = requests.request(
"POST", URL_REPRESENT, data=json.dumps(payload), headers=HEADERS
)
print(response.text)

168
scripts/mh_use_api_verify.py Normal file
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from pathlib import Path
import requests
import json
URL_VERIFY = "http://127.0.0.1:5005/verify"
HEADERS = {"Content-Type": "application/json"}
if __name__ == "__main__":
result = {
"results": [
{
"embedding": [
-1.2134509086608887,
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1.3474149703979492,
-1.4069346189498901,
1.5224522352218628,
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0.9096606373786926,
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1.4643453359603882,
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0.6621257066726685,
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0.7743759155273438,
0.027307990938425064,
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0.8760293126106262,
0.9114910364151001,
0.04533162713050842,
0.4408164322376251,
0.1473987102508545,
0.22080418467521667,
-0.7411225438117981,
0.6423298120498657,
-0.6457950472831726,
-1.218443512916565,
-1.465571403503418,
-0.6502959132194519,
0.44952529668807983,
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1.4514544010162354,
0.4862821400165558,
-0.10726253688335419,
0.11322827637195587,
0.404361754655838,
1.3982288837432861,
0.3022083640098572,
1.1285101175308228,
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-0.5437541007995605,
-0.31597772240638733,
0.9231274724006653,
-0.41314083337783813,
],
"face_confidence": 0.92,
"facial_area": {
"h": 998,
"left_eye": [1292, 1300],
"right_eye": [912, 1283],
"w": 998,
"x": 621,
"y": 906,
},
}
]
}
vec1 = result["results"][0]["embedding"]
vec2 = vec1
payload = {
"model_name": "Facenet",
"img1_path": vec1,
"img2_path": vec2,
}
response = requests.request(
"POST", URL_VERIFY, data=json.dumps(payload), headers=HEADERS
)
print(response.text)