Change the image background to red with numpy
I'm try to change a photo's background to red, which is white right now.
Unfortunately, I got the grey background color with numpy.
Here is my code:
import imageio as imio
import matplotlib.pyplot as plt
import numpy as np
joe_data = imio.imread('./wifire/11.JPG')
print(joe_data.shape)
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
red_mask = (joe_data[:, :, 0] == 255)
green_mask = (joe_data[:, :, 1] == 255)
blue_mask = (joe_data[:, :, 2] == 255)
joe_data[red_mask] = 255
joe_data[green_mask] = 0
joe_data[blue_mask] = 0
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
# I can't change the background to blue or other colour, they are just grey
numpy
asked Nov 15 '18 at 1:50
zozowitzozowit
34
add a comment |
I'm try to change a photo's background to red, which is white right now.
Unfortunately, I got the grey background color with numpy.
Here is my code:
import imageio as imio
import matplotlib.pyplot as plt
import numpy as np
joe_data = imio.imread('./wifire/11.JPG')
print(joe_data.shape)
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
red_mask = (joe_data[:, :, 0] == 255)
green_mask = (joe_data[:, :, 1] == 255)
blue_mask = (joe_data[:, :, 2] == 255)
joe_data[red_mask] = 255
joe_data[green_mask] = 0
joe_data[blue_mask] = 0
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
# I can't change the background to blue or other colour, they are just grey
numpy
asked Nov 15 '18 at 1:50
zozowitzozowit
34
add a comment |
I'm try to change a photo's background to red, which is white right now.
Unfortunately, I got the grey background color with numpy.
Here is my code:
import imageio as imio
import matplotlib.pyplot as plt
import numpy as np
joe_data = imio.imread('./wifire/11.JPG')
print(joe_data.shape)
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
red_mask = (joe_data[:, :, 0] == 255)
green_mask = (joe_data[:, :, 1] == 255)
blue_mask = (joe_data[:, :, 2] == 255)
joe_data[red_mask] = 255
joe_data[green_mask] = 0
joe_data[blue_mask] = 0
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
# I can't change the background to blue or other colour, they are just grey
numpy
asked Nov 15 '18 at 1:50
zozowitzozowit
34
I'm try to change a photo's background to red, which is white right now.
Unfortunately, I got the grey background color with numpy.
Here is my code:
import imageio as imio
import matplotlib.pyplot as plt
import numpy as np
joe_data = imio.imread('./wifire/11.JPG')
print(joe_data.shape)
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
red_mask = (joe_data[:, :, 0] == 255)
green_mask = (joe_data[:, :, 1] == 255)
blue_mask = (joe_data[:, :, 2] == 255)
joe_data[red_mask] = 255
joe_data[green_mask] = 0
joe_data[blue_mask] = 0
plt.figure(figsize=(10, 10))
plt.imshow(joe_data)
# I can't change the background to blue or other colour, they are just grey
numpy
numpy
asked Nov 15 '18 at 1:50
zozowitzozowit
34
asked Nov 15 '18 at 1:50
zozowitzozowit
34
asked Nov 15 '18 at 1:50
zozowitzozowit
34
asked Nov 15 '18 at 1:50
zozowitzozowit
34
asked Nov 15 '18 at 1:50
zozowitzozowit
34
34
add a comment |
add a comment |
1 Answer
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The mask is a 2-dimmensional array because you set one of the dimmensions in the definition, whereas joe_data is a 3-dimmensional array, try this:
joe_data[:, :, 0][red_mask] = 255
joe_data[:, :, 1][green_mask] = 0
joe_data[:, :, 2][blue_mask] = 0
here the mask and the data should have the same shape.
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The mask is a 2-dimmensional array because you set one of the dimmensions in the definition, whereas joe_data is a 3-dimmensional array, try this:
joe_data[:, :, 0][red_mask] = 255
joe_data[:, :, 1][green_mask] = 0
joe_data[:, :, 2][blue_mask] = 0
here the mask and the data should have the same shape.
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
add a comment |
The mask is a 2-dimmensional array because you set one of the dimmensions in the definition, whereas joe_data is a 3-dimmensional array, try this:
joe_data[:, :, 0][red_mask] = 255
joe_data[:, :, 1][green_mask] = 0
joe_data[:, :, 2][blue_mask] = 0
here the mask and the data should have the same shape.
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
add a comment |
The mask is a 2-dimmensional array because you set one of the dimmensions in the definition, whereas joe_data is a 3-dimmensional array, try this:
joe_data[:, :, 0][red_mask] = 255
joe_data[:, :, 1][green_mask] = 0
joe_data[:, :, 2][blue_mask] = 0
here the mask and the data should have the same shape.
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
The mask is a 2-dimmensional array because you set one of the dimmensions in the definition, whereas joe_data is a 3-dimmensional array, try this:
joe_data[:, :, 0][red_mask] = 255
joe_data[:, :, 1][green_mask] = 0
joe_data[:, :, 2][blue_mask] = 0
here the mask and the data should have the same shape.
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
answered Nov 15 '18 at 2:00
vlizanavlizana
1,011316
1,011316
add a comment |
add a comment |
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