Convert rgb images to grayscale images
up vote
-2
down vote
favorite
I have a numpy array of rgb images as shown below
print(train_frames.shape) #(100, 40, 120, 140, 3)
which means 100 rows each of 40 frames contains an image of 120x140.
I need to convert that into gray scale images i.e,
print(train_frames.shape) #(100, 40, 120, 140, 1)
How to convert that ?
opencv image-processing deep-learning
asked Nov 11 at 17:13
Krishna Preetham
15
add a comment |
up vote
-2
down vote
favorite
I have a numpy array of rgb images as shown below
print(train_frames.shape) #(100, 40, 120, 140, 3)
which means 100 rows each of 40 frames contains an image of 120x140.
I need to convert that into gray scale images i.e,
print(train_frames.shape) #(100, 40, 120, 140, 1)
How to convert that ?
opencv image-processing deep-learning
asked Nov 11 at 17:13
Krishna Preetham
15
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I have a numpy array of rgb images as shown below
print(train_frames.shape) #(100, 40, 120, 140, 3)
which means 100 rows each of 40 frames contains an image of 120x140.
I need to convert that into gray scale images i.e,
print(train_frames.shape) #(100, 40, 120, 140, 1)
How to convert that ?
opencv image-processing deep-learning
asked Nov 11 at 17:13
Krishna Preetham
15
I have a numpy array of rgb images as shown below
print(train_frames.shape) #(100, 40, 120, 140, 3)
which means 100 rows each of 40 frames contains an image of 120x140.
I need to convert that into gray scale images i.e,
print(train_frames.shape) #(100, 40, 120, 140, 1)
How to convert that ?
opencv image-processing deep-learning
opencv image-processing deep-learning
asked Nov 11 at 17:13
Krishna Preetham
15
asked Nov 11 at 17:13
Krishna Preetham
15
asked Nov 11 at 17:13
Krishna Preetham
15
asked Nov 11 at 17:13
Krishna Preetham
15
asked Nov 11 at 17:13
Krishna Preetham
15
15
add a comment |
add a comment |
1 Answer
1
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oldest
votes
up vote
0
down vote
If you want to do that in batch, one way is to use numpy.mean
numpy.mean(train_frames, axis=-1)
axis=-1 means the 3 rgb channels.
If you want to get a better conversion, I guess you will need to convert image by image with opencv cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
answered Nov 12 at 2:11
Fred Guth
7561518
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
If you want to do that in batch, one way is to use numpy.mean
numpy.mean(train_frames, axis=-1)
axis=-1 means the 3 rgb channels.
If you want to get a better conversion, I guess you will need to convert image by image with opencv cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
answered Nov 12 at 2:11
Fred Guth
7561518
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
add a comment |
up vote
0
down vote
If you want to do that in batch, one way is to use numpy.mean
numpy.mean(train_frames, axis=-1)
axis=-1 means the 3 rgb channels.
If you want to get a better conversion, I guess you will need to convert image by image with opencv cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
answered Nov 12 at 2:11
Fred Guth
7561518
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
add a comment |
up vote
0
down vote
up vote
0
down vote
If you want to do that in batch, one way is to use numpy.mean
numpy.mean(train_frames, axis=-1)
axis=-1 means the 3 rgb channels.
If you want to get a better conversion, I guess you will need to convert image by image with opencv cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
answered Nov 12 at 2:11
Fred Guth
7561518
If you want to do that in batch, one way is to use numpy.mean
numpy.mean(train_frames, axis=-1)
axis=-1 means the 3 rgb channels.
If you want to get a better conversion, I guess you will need to convert image by image with opencv cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
answered Nov 12 at 2:11
Fred Guth
7561518
answered Nov 12 at 2:11
Fred Guth
7561518
answered Nov 12 at 2:11
Fred Guth
7561518
answered Nov 12 at 2:11
Fred Guth
7561518
7561518
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
add a comment |
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
When I am using that cv2.cvtColor thing, I am getting array shape of only (100, 40, 120, 160) instead of (100, 40, 120, 160, 1)
– Krishna Preetham
Nov 12 at 4:09
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
To use cvtColor you must iterate on the (100, 40) matrix with 120x160x3 images. Each image should be converted to a 120x160x1. Got it?
– Fred Guth
Nov 12 at 17:00
add a comment |
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