def generate_hog_gabor_subfolders(folder, folder2=None, label=0):
tao = 4.
elongation = 8.
sigmax = tao / 2.35
sigmay = sigmax * elongation
from src.utils.features import HOG
from src.utils.gabor import gabor_feature_real
from src.utils.io import filename2arr
X = []
Y = []
for dirName, subdirList, fileList in os.walk(folder):
for subdir in subdirList:
for dirName2, subdirList2, fileList in os.walk(dirName + '/' +subdir):
for filename in fileList:
parts = filename.split('.')
if parts[0] == '':
continue
print "generating file " + dirName2 + '/'+ filename
arr = filename2arr(dirName2 + '/' + filename)
_, max_magnitude, _ = gabor_feature_real(arr, sigmax=sigmax, sigmay=sigmay)
from src.utils.gabor import normalize
ng = normalize(max_magnitude).reshape(1, -1)
arr2 = filename2arr(folder2 + '/' + subdir + '/' + filename)
fd = HOG(arr2).reshape(1, -1)
feature = np.concatenate((ng, fd), axis=1)
X.append(feature)
Y.append(label)
return X, Y
arr = cur_arr
sw = arr.shape[1] * 0.5
sh = arr.shape[0] * 0.5
from src.utils.util import scale
arr = scale(arr, sh, sw)
showimage_pil(arr)
#
from src.utils.gabor import gabor_feature_real
tao = 4.
elongation = 8.
sigmax = tao/2.35
sigmay = sigmax * elongation
max_orientation, max_magnitude, max_frequency = gabor_feature_real(arr, sigmax=sigmax, sigmay=sigmay)
from src.utils.gabor import normalize
normal_gabor = normalize(max_magnitude)
fn = '/Users/ruhansa/Desktop/4.jpg'
saveimage_pil(normal_gabor, fn)
arr = filename2arr(fn)
from src.utils.canny import decide_sigma
sigma = 0.0
for i in range(5):
print "sigma: " + str(sigma)
ret = my_canny(arr, sigma=sigma, save=False, show=True)
s = decide_sigma(ret, ret.size)