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Elphel
image-compression
Commits
0697219e
Commit
0697219e
authored
Jan 18, 2022
by
Nathaniel Callens
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Latest experimentations with tiff images
parent
9187e090
Changes
1
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with
38 additions
and
20 deletions
+38
-20
compress_start.py
compress_start.py
+38
-20
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compress_start.py
View file @
0697219e
...
...
@@ -42,30 +42,48 @@ def image_extractor(scenes):
if
__name__
==
'__main__'
:
"""For boundary cases: Start by grabbing the shape of the images and saving those
as variables. Then, if statements for if row == 0 or row == maximum and if
col == 0 or col == maximum. Then grab corresponding open pixels. Then proceed to do
an and statement that handles the corners"""
tiff0
=
[]
tiff1
=
[]
tiff2
=
[]
tiff3
=
[]
files
=
os
.
listdir
(
"images"
)
scenes
=
[]
for
file
in
files
:
scene
=
os
.
path
.
join
(
"images"
,
file
)
sc
=
os
.
listdir
(
scene
)
for
s
in
sc
:
if
s
[
-
6
]
==
'0'
:
tiff0
.
append
(
os
.
path
.
join
(
scene
,
s
))
elif
s
[
-
6
]
==
'1'
:
tiff1
.
append
(
os
.
path
.
join
(
scene
,
s
))
elif
s
[
-
6
]
==
'2'
:
tiff2
.
append
(
os
.
path
.
join
(
scene
,
s
))
elif
s
[
-
6
]
==
'3'
:
tiff3
.
append
(
os
.
path
.
join
(
scene
,
s
))
image
=
Image
.
open
(
"practice_tiff.tiff"
)
image2
=
Image
.
open
(
"practice2.tiff"
)
imarray2
=
np
.
array
(
image2
)
imarray
=
np
.
array
(
image
)
work
=
imarray2
[:,:,
0
]
ind1
,
ind2
=
np
.
random
.
randint
(
0
,
434
),
np
.
random
.
randint
(
0
,
650
)
diff
=
[]
for
ii
in
range
(
len
(
tiff1
)):
image
=
Image
.
open
(
tiff1
[
ii
])
image
=
np
.
array
(
image
)[
1
:,:]
ar1
,
ar2
=
image
.
shape
ind1
,
ind2
=
np
.
random
.
randint
(
0
,
ar1
),
np
.
random
.
randint
(
0
,
ar2
)
surrounding
=
[]
for
i
,
j
in
product
(
np
.
arange
(
-
1
,
2
),
repeat
=
2
):
if
i
==
0
and
j
==
0
:
continue
else
:
surrounding
.
append
(
work
[
ind1
+
i
,
ind1
+
j
])
diff
=
[]
surrounding
.
append
(
image
[
ind1
+
i
,
ind1
+
j
])
diff
.
append
(
np
.
max
(
surrounding
)
-
np
.
min
(
surrounding
))
print
(
surrounding
)
print
(
diff
)
"""For boundary cases: Start by grabbing the shape of the images and saving those
as variables. Then, if statements for if row == 0 or row == maximum and if
col == 0 or col == maximum. Then grab corresponding open pixels. Then proceed to do
an and statement that handles the corners"""
"""scene_names = file_extractor()
"""scene_names = file_extractor(
"images"
)
images = image_extractor(scene_names)
im = Image.open(images[0])
imarray = np.array(im)
...
...
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