face-recognition

问题 I need to find orientation of corn pictures (as examples below) they have different angles to right or left. I need to turn them upside (90 degree angle with their normal) (when they look like a water drop) Is there any way I can do it easily? 回答1: As starting point - find image moments (and Hu moments for complex forms like pear). From the link: Information about image orientation can be derived by first using the second order central moments to construct a covariance matrix. I suspect that

问题 I'm trying to use dlib to train shape predictor with default dataset( /dlib-19.0/examples/faces/training_with_face_landmarks.xml ) and default train sample( train_shape_predictor_ex.cpp ). So I want to train shape predictor which will be exactly like default shape predictor( shape_predictor_68_face_landmarks.dat ) because I used same dataset and same training code. But I get some issues. After training I get my .dat file with 16.6mb (but default dlib predictor shape_predictor_68_face

问题 C:\Users\leatherwallZ>pip install dlib Collecting dlib Using cached https://files.pythonhosted.org/packages/1e/62/aacb236d21fbd08148b1d517d58a9d80ea31bdcd386d26f21f8b23b1eb28/dlib-19.18.0.tar.gz Installing collected packages: dlib Running setup.py install for dlib ... error ERROR: Command errored out with exit status 1: command: 'c:\users\leatherwallz\appdata\local\programs\python\python37-32\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\LEATHE~1\AppData

问题 I was working on Face Recognition and when i run the code it stops execution at the point where EigenObjectRecognizer is initialized and exits the program with out any error.Have any one else faced the same problem ever before?If you need additional codes i can post more. I have seen my code working until the point where the recognizer trained with data in the training set EigenObjectRecognizer recognizer = new EigenObjectRecognizer( trainingImages.ToArray(), NameLabless.ToArray(), 3000, ref

问题 I am exploring Kairos Facial Recognition APIs. The API /enroll is used for uploading an image to Kairos for a subject_id. I noticed that the response of enroll API contains a confidence score. The image is treated as a new image. What does this confidence mean? When you verify an image, in that case the confidence score is important. But while uploading an image, why does the API return a confidence? I assume, the API compares the image to the images uploaded before for that subject_id and

问题 I achieved the computation of the original HMAX model, and I get the results at C2 layer. Now I still have the tuned-layer, in other words, to use the osusvm. In my project, I have two directories. One containing the training images and other containing the test images. Reference: lennon310's response in Training images and test images Firstly , I would like to show you my results at C2 layer (surely that the results should be a vectors). Notice that I extracted only 2 prototypes in the S2

问题 I am trying to display my input image after applying LBP operator defined in FaceRecognizer class of opencv on it but it only displays pure black image. Does anyone know what I may be doing wrong with my input? I am displaying the image via imshow() . I have also tried to apply elbp() after normalizing my input image but still the same answer. I am using C++. Input Image (greyscale): dims = 92x112; depth = CV_8U (I am reading the image via imread() ) LBP operator used: elbp(InputArray _src,

问题 I have a collection of profile images from customers I need to be able to pass a selfie of the person and scan it across the collection of images and pull up the customer information. Need to do the following using AWS Rekognition - Create a collection - Done Add Images to the collection - Whats the REST API syntax for this While adding the images to the collection also tag it with the customer name. Take a selfie portrait and search across the collection and return the tag information which

问题 I am working on a project in my school to detect how many students are in the classroom. Like in this picture. I have been trying to use Haar Cascade in opencv for face detection to detect people, but the result is very bad. Like this: I took thousands of pictures in classroom, and cropped the picture with people manually. There are about 4000 positive samples and 12000 negative samples. I was wondering what did I do wrong? When I crop the image, should I only crop only head like this? Or

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 years ago . I'm want to create a basic app that can detect faces. What SDK method or Opensource options could I use for this if someone can help me with detecting faces I'd appreciate it. 回答1: Hi Susan this is a basic example using FaceDetector.Face Class: public class FaceDetection extends