I am trying to build a face detection in python using opencv. Please see below for my code snippets: # https://google.github.io/mediapipe/solutions/face_detection.html import cv2 import mediapipe as mpenter code here mpFace = mp.solutions.face_detection Faces = mpFace.FaceDetection() mpDraw = mp.solutions.drawing_utils #FaceKeyPoint #RIGHT_EYE = 0 #LEFT_EYE = 1 #NOSE_TIP = 2 #MOUTH_CENTER = 3 #RIGHT_EAR_TRAGION = 4 #LEFT_EAR_TRAGION ..
face_recognition version: newest Python version: 3.7 Operating System: windows 10 Description In function face_recognition.api.face_encodings(face_image, known_face_locations=None, num_jitters=1, model=’small’) I used parameter known_face_locations, and this location is given by a SOTA face detection model. bounding_box = [(left_top_x, left_top_y, right_bottom_x, right_bottom_y)] face_encodings(image, known_face_locations = bounding_box) Before I notice this parameter I did a manual face cut for every ..
For some biomedical project, I am trying to detect faces in images of babies, using Opencv and MTCNN library. Due to may be blur or uneven brightness, I am not able to detect faces. For some images I tried adding some white pixels as padding around the image, this improved some results, but still not ..
I’m doing a face detection ATM project, receiving face will proceed to capture and save as a folder. How to automatically create a new folder when another person arrives, to save that person’s photo, avoiding the case where the wrong face image leads to wrong training. Thanks for reading, hope you can help me. enter ..
I have this drowsiness detection code and I want to upload output video to webserver. I tried to do it several times but I couldn’t. please help me My job will be to catch sleepiness by python. This code has an offline video output. I want this output to be uploaded to the server. I ..
I am working on a ROS project for tello drones and I use this driver. When I am just subscribing to CompressedImage messages from the drone camera and display the images on screen I have no problems, everything is working fine. But as soon as I try to use face detection with cv2.CascadeClassifier, the frames ..
I am using deep face library in order to get several faces in one picture, DeepFace.detectFace(), only detect one face, but if I use the backends separately without use DeepFace I can extract all faces, is it possible to use DeepFace.detectFace() in order to get all faces in one photo? Thanks Source: Python..
need help this is my code: import mediapipe as mp mp_drawing = mp.solutions.drawing_utils # Drawing helpers mp_holistic = mp.solutions.holistic # Mediapipe Solutions cap = cv2.VideoCapture(0) Initiate holistic model with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic: while cap.isOpened(): ret, frame = cap.read() # Recolor Feed image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) image.flags.writeable = False # Make Detections results = holistic.process(image) ..
I am asking a question about OpenCV Python. Haarcascade frontalface default does not detect a person’s face who has sunglasses on. I have this code: ”’ import cv2 path = "#path" img = cv2.imread(path) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml") faces = faceCascade.detectMultiScale(gray, 1.25, 15) grey = cv2.resize(gray, (400, 400)) for x, ..
This is how I imported the modules from keras.layers import Conv2D, BatchNormalization, Activation from keras.models import Model, Input from keras import optimizer_v2 from keras.optimizer_v2 import adam import keras.backend as K But I’m getting this Error I tried using adam = adam(learning_rate= 0.00001) but it doesn’t work either Source: Python..