Questions tagged [face-recognition]
Face recognition is the process of matching faces to determine if the person shown in one image is the same as the person shown in another image. This is distinct from face detection which only determines where an image exists a face. Face recognition has broad use in security technology, social networking, cameras, etc.
face-recognition
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i have a error to install dlib library vie pip in ubuntu [duplicate]
i have following error which is happend when i tried to install dlib
Collecting dlib
Using cached dlib-19.24.4.tar.gz (3.3 MB)
Installing build dependencies ... done
Getting requirements to build ...
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OpenCV program cannot detect more than one frame [closed]
I wanted to try using opencv for some simple face recognition (not specific faces, just if it sees a human face or not). I was using this model, installed both opencv and opencv-contrib, and it does ...
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I face an "IndexError: list index out of range" in the following code [closed]
while True:
sucess, img = cap.read()
img = cv2.flip(img, 1)
imgs = cv2.resize(img,(0,0) , None , 0.25 , 0.25)
imgs = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
facecurframe = ...
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How to Reduce False Positives in Face Recognition Using FAISS for Large Face Databases?
I am developing an attendance tracking system using face recognition.
The system works as follows:
1. Face Detection: Detect faces using Ultra Face.
2. Face Encoding:Encode detected faces using ...
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problems with extracting face pixels from the image
I need to pass the image that comes from the camera through a model with tensorflow, in the _extractFacePixels function the image gets there but the originalImage comes out as null
// Verificar se ...
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i have an error with my face verification, please help me
I create educational websites. and a system where when I register I save a picture of the registrant's face. Then, when you want to do a system problem, you have to make sure that the person is ...
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train facial recognision model with less data
I am using dlib for facial detection for getting face images of the user and cnn for recognision model. I want the model to get trained with as much as less image data and im trying to train the ...
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How do i modify image in python to fit face_recognition parameters (8bit gray or RGB image)
I'm trying to modify my image so that it fits the supported image type.
I've tried using cv2 and Pillow to modify the dtype however it returns the error "RuntimeError: Unsupported image type, ...
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i am working on a face recognition project and this error occurs
"C:\\Users\\Rahul Poojary\\PycharmProjects\\pythonProject4.venv\\Scripts\\python.exe" "C:\\Users\\Rahul Poojary\\PycharmProjects\\pythonProject4\\project\\main.py"
Exception in ...
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How to fix the accuracy of the face detector box?
I am developing a face recognition attendance application. The application successfully displays a face detector box, but the accuracy of the face detection is not satisfactory. The detector often ...
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Face Recognize From the Database using embedding technique
I am working on a project aimed at recognizing whether a photo of any individual exists in the university's records. The proposed method involves storing the embeddings of each student's photo, along ...
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How to feed DeepFace.find() the faces extracted by DeepFace.extract_faces()?
I'm creating a face recognition script that process a list of photos and check if the face has a match in the database.
If Yes, add the cropped face to its matched folder in the database.
If No, add ...
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How can I fix my face-recognition model error?
I have this current code for a face recognition model, I keep facing errors when I want to start and train my model, probably because of problems related to the triplet loss and anchor, but I could ...
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Why am I having this issuse while Installing dlib
I am doing a project which requires the face-recognition library for which dlib was needed.
I am having an issue installing "dlib" for a project. The terminal is throwing the following error
...
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In my deep face recognition project i am encountering an error saying: "AttributeError: 'BinaryCrossentropy' object has no attribute '_id'"
@tf.function
def train_step(batch):
# Record all of our operations
with tf.GradientTape() as tape:
# Get anchor and positive/negative image
X = batch[:2]
# Get label
y = batch[2]
...
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