OpenCV: Fisherfaces with the OpenCV Python bindings
So! I've tried it and it works for me. I have adapted the Eigenfaces sample from my post to the Fisherfaces algorithm and it works as expected. See... In the post at:
I wrote, that it's fixed in trunk. So this fix only applies if you have built a recent OpenCV (after I've commited the patch of course). You say your code is based on the sample, so what does your code look like? Please also let us know, which version of OpenCV you are using. Operating System? 32/64 bit? Which data are you feeding into?
In the following I show the code and the results, so you see it works for me. The images are the Yale Facedatabase A, which I preprocessed to be aligned at the eyes. A copy of the dataset can be obtained from:
facerec_fisherfaces.py
#!/usr/bin/env python
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import os
import sys
import cv2
import numpy as np
def normalize(X, low, high, dtype=None):
"""Normalizes a given array in X to a value between low and high."""
X = np.asarray(X)
minX, maxX = np.min(X), np.max(X)
# normalize to [0...1].
X = X - float(minX)
X = X / float((maxX - minX))
# scale to [low...high].
X = X * (high-low)
X = X + low
if dtype is None:
return np.asarray(X)
return np.asarray(X, dtype=dtype)
def read_images(path, sz=None):
"""Reads the images in a given folder, resizes images on the fly if size ...
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