def _mdsplot(x, y, icons=None, zoom=None, **kwargs):
ax = sns.plt.gca()
x_inches = sns.plt.gcf().get_size_inches()[0]
x_range = np.ptp(x)
for imname, xi, yi in zip(icons, x, y):
if isinstance(imname, (str, unicode)):
im = utils.load_image(imname, flatten=False, keep_alpha=True)
else:
im = imname
if zoom is None:
zoom = max(im.shape[:2]) / 2000.
# zoom = .1 #max(im.shape[:2]) / 3000. * x_inches/3.
imagebox = OffsetImage(im, zoom=zoom)
ab = AnnotationBbox(
imagebox,
(xi, yi),
xybox=(0, 0), #(20., -20.),
xycoords='data',
boxcoords="offset points",
frameon=False)
ax.add_artist(ab)
ax.scatter(x, y, **kwargs)
ax.axis('off')
def _mdsplot(x, y, icons=None, zoom=None, **kwargs):
ax = sns.plt.gca()
x_inches = sns.plt.gcf().get_size_inches()[0]
x_range = np.ptp(x)
for imname, xi, yi in zip(icons, x, y):
if isinstance(imname, (str, unicode)):
im = utils.load_image(imname, flatten=False, keep_alpha=True)
else:
im = imname
if zoom is None:
zoom = max(im.shape[:2]) / 2000.
# zoom = .1 #max(im.shape[:2]) / 3000. * x_inches/3.
imagebox = OffsetImage(im, zoom=zoom)
ab = AnnotationBbox(imagebox, (xi, yi),
xybox=(0,0), #(20., -20.),
xycoords='data',
boxcoords="offset points",
frameon=False
)
ax.add_artist(ab)
ax.scatter(x, y, **kwargs)
ax.axis('off')
def test_gaborjet_mag(self):
stim = utils.load_image('psychopy_ext/tests/cat-gray.png')
im = np.array([skimage.img_as_ubyte(stim)]).astype(float)
self.run_model('gaborjet',
im,
layers='phases',
flatten=True,
suffix='-phase-matlab')
def mds(self):
p = sns.color_palette('Set2', 8)
colors = [p[1], p[5], p[6], p[2], p[3], p[7]]
icons = []
ims = sorted(glob.glob('fonts/img/alpha/*.png'))
for i,c in enumerate(self.dims['shape']):
icon = utils.load_image(ims[i], keep_alpha=True)
icon[:,:,:3][icon[:,:,3]>0] = colors[c][0], colors[c][1], colors[c][2]
icons.append(icon)
super(Fonts, self).mds(icons=icons, seed=0, zoom=.2)
def mds(self):
p = sns.color_palette('Set2', 8)
colors = [p[1], p[5], p[6], p[2], p[3], p[7]]
icons = []
ims = sorted(glob.glob('fonts/img/alpha/*.png'))
for i, c in enumerate(self.dims['shape']):
icon = utils.load_image(ims[i], keep_alpha=True)
icon[:, :, :3][
icon[:, :, 3] > 0] = colors[c][0], colors[c][1], colors[c][2]
icons.append(icon)
super(Fonts, self).mds(icons=icons, seed=0, zoom=.2)
def mds(self):
p = sns.color_palette('Set2', 8)
colors = [p[1], p[5], p[6], p[2], p[3], p[7]]
icons = []
ims = sorted(glob.glob('stefania/img/alpha/*.png'))
if len(ims) == 0:
self.get_images()
for imno,c in enumerate(self.dims['category']):
im = utils.load_image(ims[imno], keep_alpha=True)
mask = im[:,:,3]>0
im[:,:,:3][mask] = colors[c][0], colors[c][1], colors[c][2]
icons.append(im)
super(Stefania, self).mds(icons=icons, seed=0, zoom=.15)
def mds_outlines(self):
p = sns.color_palette('Set2', 8)
colors = [p[1], p[5], p[6], p[2], p[3], p[7]]
icons = []
ims = sorted(glob.glob('stefania/img/alpha/*.png'))
for imno,c in enumerate(self.dims['category']):
im = utils.load_image(ims[imno], keep_alpha=True)
# generate outlines
mask = im[:,:,3]>0
icon = scipy.ndimage.binary_dilation(mask, structure=np.ones((50,50)))
icon = np.dstack([icon*colors[c][i] for i in range(3)] + [(icon>0).astype(float)])
icon[mask] = im[mask]
icons.append(icon)
super(Stefania, self).mds(icons=icons, seed=0, zoom=.15)
def _gen_alpha(self):
path = 'hop2008/img/alpha'
if not os.path.isdir(path): os.makedirs(path)
for f in sorted(glob.glob('hop2008/img/*.tif')):
fname = os.path.basename(f)
newname = fname.split('.')[0] + '.png'
newname = os.path.join(path, newname)
# and now some ridiculousness just because ImageMagick can't make
# alpha channel for no reason
alphaname = fname.split('.')[0] + '_alpha.png'
alphaname = os.path.join(path, alphaname)
subprocess.call('convert {} -alpha set -channel RGBA '
'-fuzz 10% -fill none '
'-floodfill +0+0 rgba(100,100,100,0) '
'{}'.format(f, newname).split())
subprocess.call('convert {} -alpha set -channel RGBA '
'-fuzz 10% -fill none '
'-floodfill +0+0 rgb(100,100,100) '
'-alpha extract {}'.format(f, alphaname).split())
im = utils.load_image(newname)
alpha = utils.load_image(alphaname)
scipy.misc.imsave(newname, np.dstack([im,im,im,alpha]))
os.remove(alphaname)
def _gen_alpha(self):
path = 'hop2008/img/alpha'
if not os.path.isdir(path): os.makedirs(path)
for f in sorted(glob.glob('hop2008/img/*.tif')):
fname = os.path.basename(f)
newname = fname.split('.')[0] + '.png'
newname = os.path.join(path, newname)
# and now some ridiculousness just because ImageMagick can't make
# alpha channel for no reason
alphaname = fname.split('.')[0] + '_alpha.png'
alphaname = os.path.join(path, alphaname)
subprocess.call('convert {} -alpha set -channel RGBA '
'-fuzz 10% -fill none '
'-floodfill +0+0 rgba(100,100,100,0) '
'{}'.format(f, newname).split())
subprocess.call('convert {} -alpha set -channel RGBA '
'-fuzz 10% -fill none '
'-floodfill +0+0 rgb(100,100,100) '
'-alpha extract {}'.format(f, alphaname).split())
im = utils.load_image(newname)
alpha = utils.load_image(alphaname)
scipy.misc.imsave(newname, np.dstack([im, im, im, alpha]))
os.remove(alphaname)
def load_image(im, resize=None, *args, **kwargs):
return utils.load_image(im, resize=(256, 256), *args, **kwargs)
def load_image(im, resize=None, *args, **kwargs):
return utils.load_image(im, resize=(256, 256), *args, **kwargs)
def test_hmax99_gabor(self):
stim = utils.load_image('psychopy_ext/tests/cat-gray.png')
im = np.array([skimage.img_as_ubyte(stim)]).astype(float)
m = models.HMAX99(matlab=True, filter_type='gabor')
self.run_model(m, im, flatten=True, suffix='-gabor-matlab')
def test_hmax99_gabor(self):
stim = utils.load_image('psychopy_ext/tests/cat-gray.png')
im = np.array([skimage.img_as_ubyte(stim)]).astype(float)
m = models.HMAX99(matlab=True, filter_type='gabor')
self.run_model(m, im, flatten=True, suffix='-gabor-matlab')
def test_gaborjet_mag(self):
stim = utils.load_image('psychopy_ext/tests/cat-gray.png')
im = np.array([skimage.img_as_ubyte(stim)]).astype(float)
self.run_model('gaborjet', im, layers='phases', flatten=True, suffix='-phase-matlab')
