Skip to content
GitLab
Projects
Groups
Snippets
/
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
bob
bob.ip.qualitymeasure
Commits
03797281
Commit
03797281
authored
Mar 10, 2017
by
Sushil BHATTACHARJEE
Browse files
fixed print for python3
parent
e9ae79ba
Pipeline
#7732
failed with stages
in 4 minutes and 4 seconds
Changes
1
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
bob/ip/qualitymeasure/tan_specular_highlights.py
View file @
03797281
...
...
@@ -73,10 +73,10 @@ def remove_highlights(srcImage, startEps=0.5, verboseFlag=True):
step
=
0.01
while
(
epsilon
>=
0.0
):
if
verboseFlag
:
print
'*'
if
verboseFlag
:
print
(
'*'
)
diffuse
,
srcPixelStatus
=
iteration
(
diffuse
,
srcPixelStatus
,
sfi
,
epsilon
,
verboseFlag
)
epsilon
-=
step
if
verboseFlag
:
print
'ep:
'
,
epsilon
if
verboseFlag
:
print
(
'ep:
%f'
%
epsilon
)
speckleResidue
=
srcImage
-
diffuse
...
...
@@ -173,7 +173,7 @@ def iteration(src, srcPixelStatus, sfi, epsilon, verboseFlag=True):
grn_chroma_diff_x
=
np
.
diff
(
srcChroma
[
1
,:,:],
axis
=
1
)
grn_chroma_diff_y
=
np
.
diff
(
srcChroma
[
1
,:,:],
axis
=
0
)
if
verboseFlag
:
print
'.'
if
verboseFlag
:
print
(
'.'
)
for
y
in
range
(
maxY
-
1
):
for
x
in
range
(
maxX
-
1
):
if
(
srcPixelStatus
[
y
,
x
]
<>
G_CAMERA_DARK
):
...
...
@@ -495,7 +495,7 @@ def imshow(image):
if
len
(
image
.
shape
)
==
3
:
#imshow() expects color image in a slightly different format, so first rearrange the 3d data for imshow...
outImg
=
image
.
tolist
()
# print
len(outImg)
# print
(
len(outImg)
)
result
=
np
.
dstack
((
outImg
[
0
],
outImg
[
1
]))
outImg
=
np
.
dstack
((
result
,
outImg
[
2
]))
plt
.
imshow
((
outImg
*
255.0
).
astype
(
np
.
uint8
))
#[:,:,1], cmap=mpl.cm.gray)
...
...
@@ -505,7 +505,7 @@ def imshow(image):
#display gray image.
plt
.
imshow
(
image
.
astype
(
np
.
uint8
),
cmap
=
matplotlib
.
cm
.
gray
)
else
:
print
"inshow():: image should be either 2d or 3d."
print
(
"inshow():: image should be either 2d or 3d."
)
plt
.
show
()
...
...
@@ -524,7 +524,7 @@ def computeIQSpecularityFeatures(rgbImage, startEps=0.05):
speckleMean
=
np
.
mean
(
speckleImg
)
lowSpeckleThresh
=
speckleMean
*
1.5
hiSpeckleThresh
=
speckleMean
*
4.0
print
speckleMean
,
lowSpeckleThresh
,
hiSpeckleThresh
print
(
speckleMean
,
lowSpeckleThresh
,
hiSpeckleThresh
)
specklePixels
=
speckleImg
[
np
.
where
(
np
.
logical_and
(
speckleImg
>
lowSpeckleThresh
,
speckleImg
<
hiSpeckleThresh
))]
#(speckleImg > lowSpeckleThresh and speckleImg<hiSpeckleThresh) #[np.where(lowSpeckleThresh < speckleImg and speckleImg<hiSpeckleThresh)]
r
=
float
(
specklePixels
.
shape
[
0
])
/
(
speckleImg
.
shape
[
0
]
*
speckleImg
.
shape
[
1
])
...
...
@@ -549,7 +549,7 @@ def test_highlight_detection():
speckleFreeImg
,
diffuseImg
,
speckleImg
=
remove_highlights
(
inpImage
,
startEps
=
0.05
)
print
'saving output images'
print
(
'saving output images'
)
bob
.
io
.
base
.
save
(
speckleFreeImg
.
astype
(
'uint8'
),
outRoot
+
'speckleFreeHeadImage.ppm'
)
# speckleFreeImg = np.rollaxis(np.rollaxis(speckleFreeImg, 0,-1),2,1)
# misc.imsave(outRoot+'speckleFreeHeadImage.ppm', speckleFreeImg.astype('uint8'))
...
...
@@ -564,7 +564,7 @@ def test_highlight_detection():
#
# r,m,s=computeIQSpecularityFeatures(inpImage, startEps=0.05)
# print
r, m, s
# print
(
r, m, s
)
#
# imshow(inpImage)
...
...
@@ -576,4 +576,4 @@ def test_highlight_detection():
main entry point.
'''
if
__name__
==
'__main__'
:
test_highlight_detection
()
\ No newline at end of file
test_highlight_detection
()
Write
Preview
Supports
Markdown
0%
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment