基于web端的人脸识别算法视频教程

1.掌握深度学习图像处理（基于keras、tensorflow、opencv）
2.掌握web前后端设计（基 于flask框架）
3.开发基于web端的深度学习图像，把web端应用与人工智能相结合

视频教程：
https://edu.csdn.net/course/detail/28400/391614?pre_view=1

人脸识别实例：

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 'file' not in request.files:
            return redirect(request.url)
        file = request.files['file']
        if file.filename == '':
            return redirect(request.url)

        if file and allowed_file(file.filename):
            # The image file seems valid! Detect faces and return the result.
            return detect_faces_in_image(file)

    print("get")
    return'''



    
    


    

        
        
    


'''

def detect_faces_in_image(file_stream):
    # Pre-calculated face encoding of Obama generated with face_recognition.face_encodings(img)
    biden_image = face_recognition.load_image_file("./images/yangmi.jpg")
    known_face_encoding = face_recognition.face_encodings(biden_image)[0]

    # Load the uploaded image file
    img = face_recognition.load_image_file(file_stream)
    # Get face encodings for any faces in the uploaded image
    unknown_face_encodings = face_recognition.face_encodings(img)

    face_found = False
    is_obama = False

    if len(unknown_face_encodings) > 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])
    if match_results[0]:
        is_obama = True
    # Return the result as json
    result = {"face_found_in_image": face_found,
              "is_picture_of_yangmi": is_obama
    }
    return jsonify(result)

if __name__ == "__main__":
    app.run(host='0.0.0.0', port=5001, debug=True)