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Is it possible to concatenate two images if sizes are the same but the number of channels is different?
2019 Community Moderator ElectionWhy are support vector machines good at classifying images?Given that two images are similar, how do I find and classify the difference between them?What kind of neural network structure is suitable for image to image learning?Does CNN take care of zoom in images?Multi-inputs Convolutional Neural Network for images from the same classSemantic segmentation training on images of different sizes - good practicesCreating an image data set from a set of 2D points?convert 16-Bit to 8-Bit imagesHow to filter out babies from image datasetBasis vectors for categorical images
$begingroup$
Suppose,
one image size is: 5x5, number of the channel: 3, and
another image same size: 5x5 but the number of the channel: 10
What would be the output? image size and no of the channel.
image-classification image-preprocessing image-size
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
$endgroup$
add a comment |
$begingroup$
Suppose,
one image size is: 5x5, number of the channel: 3, and
another image same size: 5x5 but the number of the channel: 10
What would be the output? image size and no of the channel.
image-classification image-preprocessing image-size
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
$endgroup$
$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28
add a comment |
$begingroup$
Suppose,
one image size is: 5x5, number of the channel: 3, and
another image same size: 5x5 but the number of the channel: 10
What would be the output? image size and no of the channel.
image-classification image-preprocessing image-size
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
$endgroup$
Suppose,
one image size is: 5x5, number of the channel: 3, and
another image same size: 5x5 but the number of the channel: 10
What would be the output? image size and no of the channel.
image-classification image-preprocessing image-size
image-classification image-preprocessing image-size
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
asked Mar 29 at 11:30
Md. Maklachur RahmanMd. Maklachur Rahman
61
61
$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28
add a comment |
$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28
$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28
add a comment |
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$begingroup$
13x5x5. image size stays same.
$endgroup$
– Andreas Look
Mar 30 at 5:47
$begingroup$
Image size remains the same, only channel size will increase? Could you please clarify in details?
$endgroup$
– Md. Maklachur Rahman
Mar 30 at 6:16
$begingroup$
if you cat your images, on one dim, your images must have same dimensions in the remaining. otherwise cat wont work. whether this procedure is usefull or not depends on the problem and data
$endgroup$
– Andreas Look
Mar 30 at 8:28