Creating an image data set from a set of 2D points?
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I have N sets of x and their corresponding y coordinates. e.g. x_i = [1.1, 2.3, 3.5] & y_i = [-1.1, -3.2, -5.2]. These coordinates represent an image, which may belong to one of two classes.
I want to train a CNN model to perform binary classifications on these N images.
What is the best way to convert my raw 2D points to an image I can input to a CNN model (ideally using the least time/memory possible)?
deep-learning convnet image-classification image-preprocessing
asked 5 hours ago
notbaitatallnotbaitatall
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$begingroup$
I have N sets of x and their corresponding y coordinates. e.g. x_i = [1.1, 2.3, 3.5] & y_i = [-1.1, -3.2, -5.2]. These coordinates represent an image, which may belong to one of two classes.
I want to train a CNN model to perform binary classifications on these N images.
What is the best way to convert my raw 2D points to an image I can input to a CNN model (ideally using the least time/memory possible)?
deep-learning convnet image-classification image-preprocessing
asked 5 hours ago
notbaitatallnotbaitatall
1
New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have N sets of x and their corresponding y coordinates. e.g. x_i = [1.1, 2.3, 3.5] & y_i = [-1.1, -3.2, -5.2]. These coordinates represent an image, which may belong to one of two classes.
I want to train a CNN model to perform binary classifications on these N images.
What is the best way to convert my raw 2D points to an image I can input to a CNN model (ideally using the least time/memory possible)?
deep-learning convnet image-classification image-preprocessing
asked 5 hours ago
notbaitatallnotbaitatall
1
New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have N sets of x and their corresponding y coordinates. e.g. x_i = [1.1, 2.3, 3.5] & y_i = [-1.1, -3.2, -5.2]. These coordinates represent an image, which may belong to one of two classes.
I want to train a CNN model to perform binary classifications on these N images.
What is the best way to convert my raw 2D points to an image I can input to a CNN model (ideally using the least time/memory possible)?
deep-learning convnet image-classification image-preprocessing
deep-learning convnet image-classification image-preprocessing
asked 5 hours ago
notbaitatallnotbaitatall
1
New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 hours ago
notbaitatallnotbaitatall
1
New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 hours ago
notbaitatallnotbaitatall
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New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 5 hours ago
notbaitatallnotbaitatall
1
asked 5 hours ago
notbaitatallnotbaitatall
1
1
New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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New contributor
notbaitatall is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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