face-detection

问题 I'm trying to train a dog face detector with dlib's hog pyramid detector. I used Columbia dogs dataset: ftp://ftp.umiacs.umd.edu/pub/kanazawa/CU_Dogs.zip At first I would get a recall of 0%, but by increasing C value I managed to increase it to 62% on training set and 53% on testing set. After certain point increasing C value stopped helping (1000+) and would only slow down training. Precision is really high though, if it actually manages to find dog's face it's always correct, haven't seen

问题 I have been successfully working with the Haar algorithm in OpenCV-2.1.0 (cvHaarDetectObjects) to detect faces in pictures and video frames from within an Objective-C project for iOS 4.2. However, the processing time for the video frames still takes about 1-2 seconds on the iPhone 4 under most conditions. An example of the code I am using is given below: NSString *path = [[NSBundle mainBundle] pathForResource:@"haarcascade_frontalface_alt" ofType:@"xml"]; CvHaarClassifierCascade* cascade =

问题 I am having trouble using Microsoft Face API. Below is my sample request: curl -v -X POST "https://westus.api.cognitive.microsoft.com/face/v1.0/detect?returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=age,gender" -H "Content-Type: application/json" -H "Ocp-Apim-Subscription-Key: 1xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxd" --data-ascii "{\"url\":\"http://www.mrbeantvseries.co.uk/bean3.jpg\"}" I use the subscription id from my cognitive services account and I got below response: {

问题 This code is to detect face and eyes using webcam but getting this error Traceback (most recent call last): File "D:/Acads/7.1 Sem/BTP/FaceDetect-master/6.py", line 28, in <module> eyes = eyeCascade.detectMultiScale(roi) NameError: name 'roi' is not defined but when i use this code do detect faces and eyes in a image its working properly without any error import matplotlib import matplotlib.pyplot as plt import cv2 import sys import numpy as np import os faceCascade = cv2.CascadeClassifier(

问题 I try to run facedetect opencv sample with vs2010. debug result "Unhandled exception at 0x53fa42bf in facedetect.exe: 0xC0000005: Access violation writing location 0x00000000." Here is the code txt file: http://ebooks-libs.com/backup/facedetect-opencv2.1.txt cpp file: http://ebooks-libs.com/backup/facedetect.cpp #include "stdafx.h" #include <iostream> #include <cstdio> #define CV_NO_BACKWARD_COMPATIBILITY #include "cv.h" #include "highgui.h" #ifdef _EiC #define WIN32 #endif using namespace

问题 Amazon Rekognition Celebrity Detection Ios: Done for face detection with a provided image via camera and photo library. Tried to manage with video (Either from bundle or live URL), to detect celebrity image over the video. sendVideoToRekognition(celebVideoData: video) func sendVideoToRekognition(celebVideoData: URL){ //Delete older labels or buttons DispatchQueue.main.async { [weak self] in for subView in (self?.CelebImageView.subviews)! { subView.removeFromSuperview() } } rekognitionObject =

问题 I am creating a custom camera with filters. When I add the following line it crashes without showing any exception. //Setting video output func setupBuffer() { videoBuffer = AVCaptureVideoDataOutput() videoBuffer?.alwaysDiscardsLateVideoFrames = true videoBuffer?.videoSettings = [(kCVPixelBufferPixelFormatTypeKey as NSString): NSNumber(value: kCVPixelFormatType_32RGBA)] videoBuffer?.setSampleBufferDelegate(self, queue: DispatchQueue.main) captureSession?.addOutput(videoBuffer) } public func

问题 In my application I use the definition of the person position in the picture. After that, using RxJava I process the resulting image and output the result. After complete re-run that process. All working perfectly on devices such as samsung, huawei, meizu and other (with android version 5.0 and higher). But on xiaomi (no matter what version of android) I getting this error: A/libc: invalid address or address of corrupt block 0xabc932a8 passed to dlfree A/libc: Fatal signal 11 (SIGSEGV), code

问题 I would like to identify people through face detection. I found that OpenCV implements a method to detect faces but nothing on how to recognize a specific person! Do I have to make a learning system like SVM to be able to identify people or is there an out-of-box function for that? Thanks, 来源： https://stackoverflow.com/questions/30467909/opencv-identify-person-with-face-detection

问题 Where should I start? I can see plenty of face recognition and analysis using Python, Java script but how about Processing ? I want to determine the distance by using 2 points between upper and lower lip at their highest and lowest point via webcam to use it in further project. any help would be appreciated 回答1: If you want to do it in Processing alone you can use Greg Borenstein's OpenCV for Processing library: You can start with the Face Detection example Once you detect a face, you can