face-detection

I have been testing the new Face API realesed for android, and noticed even with "ACCURATE_MODE" enabled, it doesn't detect faces that old FaceDetector API used to detect, Also i would like to know the effect of Bitmap coding "RGB_565" vs "ARGB_888" in producing the results. Update: The issue was that the face detector is set to only detect faces that are at least 10% by default (as a performance optimization). The new Google Play Services 8.4 release supports setting this minimum face size lower, enabling smaller faces to be detected. See the setMinFaceSize method here: https://developers

i made application eye detecting by following this link link and it work how can i detect the eye is opened or closed ? is there library in android to detect closed or opened I've no idea whether there is any library for that, but using technique descirbed in article Eye-blink detection system for human–computer interaction by Aleksandra Królak and Paweł Strumiłło (you can download it here and here and here is some simplified version ) in my opinion is a good option. Generally this technique is quite simple: Find eye (or both eyes). Remember this part of image as a template. In next frame use

I am trying developing a code which functions as the self-timer camera. The video would be seen in the window and the person's face and eyes would be continuously detected and once the user selects a specific time, the frame at that point of time is captured. I am able to capture the frame after a certain time using sleep function in time module but the video frame seems to freeze. Is there any solution such that I can continue to see the video and the video capture takes place after some delay automatically. I am using the code- import numpy as np import cv2 import time import cv2.cv as cv

I'm using OpenCv and Dlib to execute facial recognition w/ landmarks, live from the webcam stream . The language is Python . It works fine on my macbook laptop, but I need it to run from a desktop computer 24/7. The computer is a PC Intel® Core™2 Quad CPU Q6600 @ 2.40GHz 32bit running Debian Jessie. The drop in performance is drastic : there is a 10 seconds delay due to processing ! I therefore looked into multi-threading to gain performance : I first tried the sample code by OpenCv, and the result is great! All four cores hit 100%, and the performance is much better. I then replaced the frame

I would like to perform face detection / tracking on a video file (e.g. an MP4 from the users gallery) using the Android Vision FaceDetector API. I can see many examples on using the CameraSource class to perform face tracking on the stream coming directly from the camera (e.g. on the android-vision github ), but nothing on video files. I tried looking at the source code for CameraSource through Android Studio, but it is obfuscated, and I couldn't see the original online. I image there are many commonalities between using the camera and using a file. Presumably I just play the video file on a