Python read_image Examples

Example #1

def detect():
    file = request.files['image']

    # Read image
    image = read_image(file)

    # Detect faces
    faces = detect_faces_with_ssd(image)

    return jsonify(detections=faces)

Example #2

def detect():
    file = request.files['image']

    # Read image
    image = read_image(file)
    
    # Detect faces
    faces = detect_faces_with_ssd(image, min_confidence=DETECTION_THRESHOLD)

    return jsonify(detections = faces)

Example #3

def detect():
    file = request.files['image']

    # Read image
    image = read_image(file)
    
    # Recognize faces
    classifier_model_path = "models" + os.sep + "lotr_mlp_10c_recognizer.pickle"
    label_encoder_path = "models" + os.sep + "lotr_mlp_10c_labelencoder.pickle"
    faces = recognize_faces(image, classifier_model_path, label_encoder_path, detection_api_url=app.config["DETECTION_API_URL"])

    return jsonify(recognitions = faces)

Example #4

File: app.py Project: thirumald/face-recognition-app-tutorial

def detect():
    file = request.files['image']

    # Read image
    image = read_image(file)

    # Recognize faces
    classifier_model_path = "models" + os.sep + "lotr_mlp_10c_recognizer.pickle"
    label_encoder_path = "models" + os.sep + "lotr_mlp_10c_labelencoder.pickle"
    faces = recognize_faces(image, classifier_model_path, label_encoder_path)

    return jsonify(recognitions=faces)

Example #5

def upload():
    file = request.files['image']

    # Read image
    image = read_image(file)
    
    # Detect faces
    faces = detect_faces_with_ssd(image)
    
    # Draw detection rects
    num_faces, image = draw_rectangles(image, faces)
    
    # Prepare image for html
    to_send = prepare_image(image)

    return render_template('index.html', face_detected=len(faces)>0, num_faces=len(faces), image_to_show=to_send, init=True)

Example #6

def upload():
    file = request.files['image']

    # Read image
    image = read_image(file)
    
    # Recognize faces
    classifier_model_path = "models" + os.sep + "lotr_mlp_10c_recognizer.pickle"
    label_encoder_path = "models" + os.sep + "lotr_mlp_10c_labelencoder.pickle"
    faces = recognize_faces(image, classifier_model_path, label_encoder_path, detection_api_url=app.config["DETECTION_API_URL"])
    
    # Draw detection rects
    draw_rectangles(image, faces)
    
    # Prepare image for html
    to_send = prepare_image(image)

    return render_template('index.html', face_recognized=len(faces)>0, num_faces=len(faces), image_to_show=to_send, init=True)