Images similarity using SIFT and Annoy
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Given an image, I need to get the most similar ones with "score" or percent of similarity
I'm using SIFT to get the descriptors from all the images and storing them in Annoy as individual vectors linked to the original image.
Then, given the image I want to get similar ones, I get the descriptors of the image, and I get the nearest neighbours (100 at the moment) from each of the descriptors. So for each of the descriptors of the image I want to measure I have the 100 nearest neighbours (with the original image of each)
Do you think this is a good approach?
How can I calculate the image with most similarity percent? Given an x number of descriptors where I get the most 100 nearest neighbours from each with the cosine or euclidean.
python image-classification opencv image-preprocessing
asked 3 hours ago
Santi BarbatSanti Barbat
101
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Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
Given an image, I need to get the most similar ones with "score" or percent of similarity
I'm using SIFT to get the descriptors from all the images and storing them in Annoy as individual vectors linked to the original image.
Then, given the image I want to get similar ones, I get the descriptors of the image, and I get the nearest neighbours (100 at the moment) from each of the descriptors. So for each of the descriptors of the image I want to measure I have the 100 nearest neighbours (with the original image of each)
Do you think this is a good approach?
How can I calculate the image with most similarity percent? Given an x number of descriptors where I get the most 100 nearest neighbours from each with the cosine or euclidean.
python image-classification opencv image-preprocessing
asked 3 hours ago
Santi BarbatSanti Barbat
101
New contributor
Santi Barbat 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 |
$begingroup$
Given an image, I need to get the most similar ones with "score" or percent of similarity
I'm using SIFT to get the descriptors from all the images and storing them in Annoy as individual vectors linked to the original image.
Then, given the image I want to get similar ones, I get the descriptors of the image, and I get the nearest neighbours (100 at the moment) from each of the descriptors. So for each of the descriptors of the image I want to measure I have the 100 nearest neighbours (with the original image of each)
Do you think this is a good approach?
How can I calculate the image with most similarity percent? Given an x number of descriptors where I get the most 100 nearest neighbours from each with the cosine or euclidean.
python image-classification opencv image-preprocessing
asked 3 hours ago
Santi BarbatSanti Barbat
101
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Given an image, I need to get the most similar ones with "score" or percent of similarity
I'm using SIFT to get the descriptors from all the images and storing them in Annoy as individual vectors linked to the original image.
Then, given the image I want to get similar ones, I get the descriptors of the image, and I get the nearest neighbours (100 at the moment) from each of the descriptors. So for each of the descriptors of the image I want to measure I have the 100 nearest neighbours (with the original image of each)
Do you think this is a good approach?
How can I calculate the image with most similarity percent? Given an x number of descriptors where I get the most 100 nearest neighbours from each with the cosine or euclidean.
python image-classification opencv image-preprocessing
python image-classification opencv image-preprocessing
asked 3 hours ago
Santi BarbatSanti Barbat
101
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 hours ago
Santi BarbatSanti Barbat
101
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 hours ago
Santi BarbatSanti Barbat
101
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 hours ago
Santi BarbatSanti Barbat
101
asked 3 hours ago
Santi BarbatSanti Barbat
101
101
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Santi Barbat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Santi Barbat 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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