Determine maximum and minimum pixel value to draw bounding box
0
Given an image with semantic map,
In python, How can I draw a bounding-box around the person standing for instance?
I've done some research and understood that I need to choose the maximum and minimum pixel value to get the bounding box information. But I don't understand how to implement this.
python image-processing
asked 9 hours ago
user3641381
455617
add a comment |
0
Given an image with semantic map,
In python, How can I draw a bounding-box around the person standing for instance?
I've done some research and understood that I need to choose the maximum and minimum pixel value to get the bounding box information. But I don't understand how to implement this.
python image-processing
asked 9 hours ago
user3641381
455617
add a comment |
0
0
0
Given an image with semantic map,
In python, How can I draw a bounding-box around the person standing for instance?
I've done some research and understood that I need to choose the maximum and minimum pixel value to get the bounding box information. But I don't understand how to implement this.
python image-processing
asked 9 hours ago
user3641381
455617
Given an image with semantic map,
In python, How can I draw a bounding-box around the person standing for instance?
I've done some research and understood that I need to choose the maximum and minimum pixel value to get the bounding box information. But I don't understand how to implement this.
python image-processing
python image-processing
asked 9 hours ago
user3641381
455617
asked 9 hours ago
user3641381
455617
asked 9 hours ago
user3641381
455617
asked 9 hours ago
user3641381
455617
asked 9 hours ago
user3641381
455617
455617
add a comment |
add a comment |
1 Answer
1
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- Redraw the object you want to box in unique for that semantic map color. For instance I've used green:
- Run following script:
.
from PIL import Image, ImageDraw
IMAGE = 't5XM4.png'
IMAGE_MAP = 'Gz8b7.png'
IMAGE_OUTPUT = 'Result.png'
GREEN = (0, 255, 0)
OFFSET = 10
image_map = Image.open(IMAGE_MAP)
image = Image.open(IMAGE)
pixels = image_map.load()
size_sm = image_map.size
size = image.size
ratio = (size_sm[0]/size[0], size_sm[1]/size[1])
x_list =
y_list =
for x in range(size_sm[0]):
for y in range(size_sm[1]):
if pixels[x, y] == GREEN:
x_list.append(x)
y_list.append(y)
draw = ImageDraw.Draw(image)
draw.rectangle(((min(x_list)/ratio[0]-OFFSET, min(y_list)/ratio[1]-OFFSET),
(max(x_list)/ratio[0]+OFFSET,max(y_list)/ratio[1]+OFFSET)),
width=5, outline=GREEN)
image.save(IMAGE_OUTPUT, 'PNG')
- You've got following image at the end:
answered 4 hours ago
Alderven
518317
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
- Redraw the object you want to box in unique for that semantic map color. For instance I've used green:
- Run following script:
.
from PIL import Image, ImageDraw
IMAGE = 't5XM4.png'
IMAGE_MAP = 'Gz8b7.png'
IMAGE_OUTPUT = 'Result.png'
GREEN = (0, 255, 0)
OFFSET = 10
image_map = Image.open(IMAGE_MAP)
image = Image.open(IMAGE)
pixels = image_map.load()
size_sm = image_map.size
size = image.size
ratio = (size_sm[0]/size[0], size_sm[1]/size[1])
x_list =
y_list =
for x in range(size_sm[0]):
for y in range(size_sm[1]):
if pixels[x, y] == GREEN:
x_list.append(x)
y_list.append(y)
draw = ImageDraw.Draw(image)
draw.rectangle(((min(x_list)/ratio[0]-OFFSET, min(y_list)/ratio[1]-OFFSET),
(max(x_list)/ratio[0]+OFFSET,max(y_list)/ratio[1]+OFFSET)),
width=5, outline=GREEN)
image.save(IMAGE_OUTPUT, 'PNG')
- You've got following image at the end:
answered 4 hours ago
Alderven
518317
add a comment |
0
- Redraw the object you want to box in unique for that semantic map color. For instance I've used green:
- Run following script:
.
from PIL import Image, ImageDraw
IMAGE = 't5XM4.png'
IMAGE_MAP = 'Gz8b7.png'
IMAGE_OUTPUT = 'Result.png'
GREEN = (0, 255, 0)
OFFSET = 10
image_map = Image.open(IMAGE_MAP)
image = Image.open(IMAGE)
pixels = image_map.load()
size_sm = image_map.size
size = image.size
ratio = (size_sm[0]/size[0], size_sm[1]/size[1])
x_list =
y_list =
for x in range(size_sm[0]):
for y in range(size_sm[1]):
if pixels[x, y] == GREEN:
x_list.append(x)
y_list.append(y)
draw = ImageDraw.Draw(image)
draw.rectangle(((min(x_list)/ratio[0]-OFFSET, min(y_list)/ratio[1]-OFFSET),
(max(x_list)/ratio[0]+OFFSET,max(y_list)/ratio[1]+OFFSET)),
width=5, outline=GREEN)
image.save(IMAGE_OUTPUT, 'PNG')
- You've got following image at the end:
answered 4 hours ago
Alderven
518317
add a comment |
0
0
0
- Redraw the object you want to box in unique for that semantic map color. For instance I've used green:
- Run following script:
.
from PIL import Image, ImageDraw
IMAGE = 't5XM4.png'
IMAGE_MAP = 'Gz8b7.png'
IMAGE_OUTPUT = 'Result.png'
GREEN = (0, 255, 0)
OFFSET = 10
image_map = Image.open(IMAGE_MAP)
image = Image.open(IMAGE)
pixels = image_map.load()
size_sm = image_map.size
size = image.size
ratio = (size_sm[0]/size[0], size_sm[1]/size[1])
x_list =
y_list =
for x in range(size_sm[0]):
for y in range(size_sm[1]):
if pixels[x, y] == GREEN:
x_list.append(x)
y_list.append(y)
draw = ImageDraw.Draw(image)
draw.rectangle(((min(x_list)/ratio[0]-OFFSET, min(y_list)/ratio[1]-OFFSET),
(max(x_list)/ratio[0]+OFFSET,max(y_list)/ratio[1]+OFFSET)),
width=5, outline=GREEN)
image.save(IMAGE_OUTPUT, 'PNG')
- You've got following image at the end:
answered 4 hours ago
Alderven
518317
- Redraw the object you want to box in unique for that semantic map color. For instance I've used green:
- Run following script:
.
from PIL import Image, ImageDraw
IMAGE = 't5XM4.png'
IMAGE_MAP = 'Gz8b7.png'
IMAGE_OUTPUT = 'Result.png'
GREEN = (0, 255, 0)
OFFSET = 10
image_map = Image.open(IMAGE_MAP)
image = Image.open(IMAGE)
pixels = image_map.load()
size_sm = image_map.size
size = image.size
ratio = (size_sm[0]/size[0], size_sm[1]/size[1])
x_list =
y_list =
for x in range(size_sm[0]):
for y in range(size_sm[1]):
if pixels[x, y] == GREEN:
x_list.append(x)
y_list.append(y)
draw = ImageDraw.Draw(image)
draw.rectangle(((min(x_list)/ratio[0]-OFFSET, min(y_list)/ratio[1]-OFFSET),
(max(x_list)/ratio[0]+OFFSET,max(y_list)/ratio[1]+OFFSET)),
width=5, outline=GREEN)
image.save(IMAGE_OUTPUT, 'PNG')
- You've got following image at the end:
answered 4 hours ago
Alderven
518317
edited 4 hours ago
answered 4 hours ago
Alderven
518317
answered 4 hours ago
Alderven
518317
answered 4 hours ago
Alderven
518317
518317
add a comment |
add a comment |
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