def __init__(self):
self.labels = ["male", "female"]
self.mean = (78.4263377603, 87.7689143744, 114.895847746)
self.f_detector = FDetector()
self.web_util = web()
self.f_detector.set_detector("hog")
self.__set_detector()
from visionlib.face.detection import FDetector
import cv2
import argparse
# Configre the parser.
parser = argparse.ArgumentParser()
parser.add_argument("img_path", help="Path to image")
parser.add_argument("--enable-gpu",
help="Set to true to enable gpu support",
dest="enable_gpu",
default=False,
type=bool)
args = parser.parse_args()
# Instantiating the required classes.
detector = FDetector()
# Read the image
img = cv2.imread(args.img_path)
detector.set_detector("hog")
# Apply face detection and show image
d_img, boxes, conf = detector.detect_face(img,
show=True,
enable_gpu=args.enable_gpu)
for box, conf in zip(boxes, conf):
print(box, conf)
def setUp(self):
self.detectors = ["mtcnn", "haar", "hog", "dnn"]
self.face_detector = FDetector()
self.group_img_path = "assets/face.jpg"
self.test_img = cv2.imread(self.group_img_path)
logging.basicConfig(level=logging.INFO)