Row 6693

Row ID: 6693 | Dataset Entry | Axioma AXP Content Repository

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I’m new to PyTorch. I would like to use a pretrained model for facial recognition, specifically identification. I will have a preexisting image of a person and I will feed the model a new image to determine if a new image is that person.

Any tips for doing this in general? Right now I’m doing a vector distance to determine if the result is close to the original.

Any tips on pretrained on which models to use? I got one of the popular PyTorch ones from GitHub and it seems to be working OK.

Thanks!!

FieldValue
text I’m new to PyTorch. I would like to use a pretrained model for facial recognition, specifically identification. I will have a preexisting image of a person and I will feed the model a new image to determine if a new image is that person. Any tips for doing this in general? Right now I’m doing a vector distance to determine if the result is close to the original. Any tips on pretrained on which models to use? I got one of the popular PyTorch ones from GitHub and it seems to be working OK. T…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-05-12
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Raw Record

{
  "text": "I’m new to PyTorch. I would like to use a pretrained model for facial recognition, specifically identification. I will have a preexisting image of a person and I will feed the model a new image to determine if a new image is that person. \n\nAny tips for doing this in general? Right now I’m doing a vector distance to determine if the result is close to the original. \n\nAny tips on pretrained on which models to use? I got one of the popular PyTorch ones from GitHub and it seems to be working OK. \n\nThanks!!",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-05-12",
  "username_encoded": "Z0FBQUFBQm5LakwzRXU5S1ZsQ29nN2ozX245VEdFbEJNSk1yM3N2WkN2OEMyM0Ezdld4TnQ3ejNKblVJanNjV3J6ZmJnZzdDcHppaGlHckNsblBXaFFNQUYwYWQtQ29FY2c9PQ==",
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}
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