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import sys
sys.path.append('.')
from flask import Flask, request, jsonify
from time import gmtime, strftime
import os
import base64
import json
import cv2
import numpy as np
from facewrapper.facewrapper import ttv_version
from facewrapper.facewrapper import ttv_get_hwid
from facewrapper.facewrapper import ttv_init
from facewrapper.facewrapper import ttv_init_offline
from facewrapper.facewrapper import ttv_extract_feature
from facewrapper.facewrapper import ttv_compare_feature
app = Flask(__name__)
app.config['SITE'] = "http://0.0.0.0:8000/"
app.config['DEBUG'] = False
licenseKey = os.environ.get("LICENSE_KEY")
licensePath = "license.txt"
modelFolder = os.path.abspath(os.path.dirname(__file__)) + '/facewrapper/dict'
version = ttv_version()
print("version: ", version.decode('utf-8'))
ret = ttv_init(modelFolder.encode('utf-8'), licenseKey.encode('utf-8'))
if ret != 0:
print(f"online init failed: {ret}");
hwid = ttv_get_hwid()
print("hwid: ", hwid.decode('utf-8'))
ret = ttv_init_offline(modelFolder.encode('utf-8'), licensePath.encode('utf-8'))
if ret != 0:
print(f"offline init failed: {ret}")
exit(-1)
else:
print(f"offline init ok")
else:
print(f"online init ok")
@app.route('/api/compare_face', methods=['POST'])
def compare_face():
file1 = request.files['image1']
image1 = cv2.imdecode(np.fromstring(file1.read(), np.uint8), cv2.IMREAD_COLOR)
if image1 is None:
result = "image1: is null!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
file2 = request.files['image2']
image2 = cv2.imdecode(np.fromstring(file2.read(), np.uint8), cv2.IMREAD_COLOR)
if image2 is None:
result = "image2: is null!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
faceRect1 = np.zeros([4], dtype=np.int32)
feature1 = np.zeros([2048], dtype=np.uint8)
featureSize1 = np.zeros([1], dtype=np.int32)
ret = ttv_extract_feature(image1, image1.shape[1], image1.shape[0], faceRect1, feature1, featureSize1)
if ret <= 0:
if ret == -1:
result = "license error!"
elif ret == -2:
result = "init error!"
elif ret == 0:
result = "image1: no face detected!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
faceRect2 = np.zeros([4], dtype=np.int32)
feature2 = np.zeros([2048], dtype=np.uint8)
featureSize2 = np.zeros([1], dtype=np.int32)
ret = ttv_extract_feature(image2, image2.shape[1], image2.shape[0], faceRect2, feature2, featureSize2)
if ret <= 0:
if ret == -1:
result = "license error!"
elif ret == -2:
result = "init error!"
elif ret == 0:
result = "image2: no face detected!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
similarity = ttv_compare_feature(feature1, feature2)
if similarity > 0.7:
result = "same"
else:
result = "different"
status = "ok"
response = jsonify(
{
"status": status,
"data": {
"result": result,
"similarity": float(similarity),
"face1": {"x1": int(faceRect1[0]), "y1": int(faceRect1[1]), "x2": int(faceRect1[2]), "y2" : int(faceRect1[3])},
"face2": {"x1": int(faceRect2[0]), "y1": int(faceRect2[1]), "x2": int(faceRect2[2]), "y2" : int(faceRect2[3])},
}
})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
@app.route('/api/compare_face_base64', methods=['POST'])
def coompare_face_base64():
content = request.get_json()
imageBase641 = content['image1']
image1 = cv2.imdecode(np.frombuffer(base64.b64decode(imageBase641), dtype=np.uint8), cv2.IMREAD_COLOR)
if image1 is None:
result = "image1: is null!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
imageBase642 = content['image2']
image2 = cv2.imdecode(np.frombuffer(base64.b64decode(imageBase642), dtype=np.uint8), cv2.IMREAD_COLOR)
if image2 is None:
result = "image2: is null!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
faceRect1 = np.zeros([4], dtype=np.int32)
feature1 = np.zeros([2048], dtype=np.uint8)
featureSize1 = np.zeros([1], dtype=np.int32)
ret = ttv_extract_feature(image1, image1.shape[1], image1.shape[0], faceRect1, feature1, featureSize1)
if ret <= 0:
if ret == -1:
result = "license error!"
elif ret == -2:
result = "init error!"
elif ret == 0:
result = "image1: no face detected!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
faceRect2 = np.zeros([4], dtype=np.int32)
feature2 = np.zeros([2048], dtype=np.uint8)
featureSize2 = np.zeros([1], dtype=np.int32)
ret = ttv_extract_feature(image2, image2.shape[1], image2.shape[0], faceRect2, feature2, featureSize2)
if ret <= 0:
if ret == -1:
result = "license error!"
elif ret == -2:
result = "init error!"
elif ret == 0:
result = "image2: no face detected!"
status = "ok"
response = jsonify({"status": status, "data": {"result": result}})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
similarity = ttv_compare_feature(feature1, feature2)
if similarity > 0.7:
result = "same"
else:
result = "different"
status = "ok"
response = jsonify(
{
"status": status,
"data": {
"result": result,
"similarity": float(similarity),
"face1": {"x1": int(faceRect1[0]), "y1": int(faceRect1[1]), "x2": int(faceRect1[2]), "y2" : int(faceRect1[3])},
"face2": {"x1": int(faceRect2[0]), "y1": int(faceRect2[1]), "x2": int(faceRect2[2]), "y2" : int(faceRect2[3])},
}
})
response.status_code = 200
response.headers["Content-Type"] = "application/json; charset=utf-8"
return response
if __name__ == '__main__':
port = int(os.environ.get("PORT", 8000))
app.run(host='0.0.0.0', port=port)
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