i am using ubuntu system. I tried to use the sample python script(facerec_demo.py) for facerecogniton. However i have a error that i have to train at least a images. How do i train images? I have created a csv file that contain the path to the dataset that the tutorial teaches to use.
For the Python tutorials on cv::FaceRecognizer see the following posts:
I've tried to explain it in great detail, but please don't hesitate to ask if something is unclear. These tutorials will be added to the OpenCV tutorials, as soon as I find some time. You don't need to create a CSV File for these tutorials.
What's wrong with the FaceRecognizer.predict as shown in all the demos and documentation? For example http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/python2/facerec_demo.py#L126.
Whenever i try my own images it will have this error facerec_demo.py:47: RuntimeWarning: invalid value encountered in divide X = X / float((maxX - minX)) and it will always be Predicted label = 0 (confidence=0.00) I still do not understand how this facerecognizer works. I thought i have to train images to the data and store it there, if a input images match with the data then the then the predicted label will be 0?
Asked: 2012-09-05 08:50:15 -0600
Seen: 1,126 times
Last updated: Sep 05 '12
