这是个有趣的东西但是还未在生产环境使用
只是本地跑了个demo，有需要的时候查看一下，在此记录一下。
Vahid Kazemi 和 Josephine Sullivan 的《使用回归树一毫秒脸部对准》论文
https://github.com/ageitgey/face_recognition/blob/master/Dockerfile#L6-L34
docker run -v /D/face_recognition/www:/mnt -d -p 127.0.0.1:5001:5001 -it facedemo:v1 /bin/bash
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple face_recognition
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple scikit-image
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple opencv-python
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple flask
pip install scikit-image
# This is a _very simple_ example of a web service that recognizes faces in uploaded images.
# Upload an image file and it will check if the image contains a picture of Barack Obama.
# The result is returned as json. For example:
#
# $ curl -XPOST -F "file=@obama2.jpg" http://127.0.0.1:5001
#
# Returns:
#
# {
# "face_found_in_image": true,
# "is_picture_of_obama": true
# }
#
# This example is based on the Flask file upload example: http://flask.pocoo.org/docs/0.12/patterns/fileuploads/
# NOTE: This example requires flask to be installed! You can install it with pip:
# $ pip3 install flask
import face_recognition
from flask import Flask, jsonify, request, redirect
# You can change this to any folder on your system
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif'}
app = Flask(__name__)
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/', methods=['GET', 'POST'])
def upload_image():
# Check if a valid image file was uploaded
if request.method == 'POST':
if 'file1' not in request.files:
return redirect(request.url)
file1 = request.files['file1']
if file1.filename == '':
return redirect(request.url)
#if file1 and allowed_file(file1.filename):
# The image file seems valid! Detect faces and return the result.
# return detect_faces_in_image(file1)
if 'file2' not in request.files:
return redirect(request.url)
file2 = request.files['file2']
if file2.filename == '':
return redirect(request.url)
if file1 and allowed_file(file1.filename) and file2 and allowed_file(file2.filename):
# The image file seems valid! Detect faces and return the result.
return detect_faces_in_image(file1,file2)
# If no valid image file was uploaded, show the file upload form:
return '''
<!doctype html>
<title>人脸对比</title>
<h1>人脸对比demo</h1>
<form method="POST" enctype="multipart/form-data">
人脸图片1：<input type="file" name="file1"><br><br>
人脸图片2：<input type="file" name="file2">
<input type="submit" value="对比">
</form>
'''
def detect_faces_in_image(file1,file2):
# Pre-calculated face encoding of Obama generated with face_recognition.face_encodings(img)
known_face_encoding = [-0.09634063, 0.12095481, -0.00436332, -0.07643753, 0.0080383,
0.01902981, -0.07184699, -0.09383309, 0.18518871, -0.09588896,
0.23951106, 0.0986533 , -0.22114635, -0.1363683 , 0.04405268,
0.11574756, -0.19899382, -0.09597053, -0.11969153, -0.12277931,
0.03416885, -0.00267565, 0.09203379, 0.04713435, -0.12731361,
-0.35371891, -0.0503444 , -0.17841317, -0.00310897, -0.09844551,
-0.06910533, -0.00503746, -0.18466514, -0.09851682, 0.02903969,
-0.02174894, 0.02261871, 0.0032102 , 0.20312519, 0.02999607,
-0.11646006, 0.09432904, 0.02774341, 0.22102901, 0.26725179,
0.06896867, -0.00490024, -0.09441824, 0.11115381, -0.22592428,
0.06230862, 0.16559327, 0.06232892, 0.03458837, 0.09459756,
-0.18777156, 0.00654241, 0.08582542, -0.13578284, 0.0150229 ,
0.00670836, -0.08195844, -0.04346499, 0.03347827, 0.20310158,
0.09987706, -0.12370517, -0.06683611, 0.12704916, -0.02160804,
0.00984683, 0.00766284, -0.18980607, -0.19641446, -0.22800779,
0.09010898, 0.39178532, 0.18818057, -0.20875394, 0.03097027,
-0.21300618, 0.02532415, 0.07938635, 0.01000703, -0.07719778,
-0.12651891, -0.04318593, 0.06219772, 0.09163868, 0.05039065,
-0.04922386, 0.21839413, -0.02394437, 0.06173781, 0.0292527 ,
0.06160797, -0.15553983, -0.02440624, -0.17509389, -0.0630486 ,
0.01428208, -0.03637431, 0.03971229, 0.13983178, -0.23006812,
0.04999552, 0.0108454 , -0.03970895, 0.02501768, 0.08157793,
-0.03224047, -0.04502571, 0.0556995 , -0.24374914, 0.25514284,
0.24795187, 0.04060191, 0.17597422, 0.07966681, 0.01920104,
-0.01194376, -0.02300822, -0.17204897, -0.0596558 , 0.05307484,
0.07417042, 0.07126575, 0.00209804]
# biden_image = face_recognition.load_image_file("zhanghui.jpg")
# known_face_encoding = face_recognition.face_encodings(biden_image)[0]
# Load the uploaded image file
img = face_recognition.load_image_file(file1)
# Get face encodings for any faces in the uploaded image
unknown_face_encodings = face_recognition.face_encodings(img)
print('##############################################################');
print(unknown_face_encodings);
print('##############################################################');
# Load the uploaded image file
biden_image = face_recognition.load_image_file(file2)
# Get face encodings for any faces in the uploaded image
known_face_encoding = face_recognition.face_encodings(biden_image)
print(known_face_encoding);
print('##############################################################');
face_found = False
is_user = False
if len(unknown_face_encodings) > 0 and len(known_face_encoding) > 0:
face_found = True
# See if the first face in the uploaded image matches the known face of Obama
# match_results = face_recognition.compare_faces([known_face_encoding], unknown_face_encodings[0],0.50)
match_results = face_recognition.compare_faces([known_face_encoding[0]], unknown_face_encodings[0],0.40)
print('############################aaaa##################################');
print(match_results);
print('############################aaaaa##################################');
if match_results[0]:
is_user = True
# Return the result as json
result = {
"是否都为人脸图片": face_found,
"是否一个人": is_user
}
return jsonify(result)
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5001, debug=True)
``
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