Row 13156

Row ID: 13156 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 13156 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm new to the visual side so this is just a guess.

Your model expects the input to be of a particular dimension. If it isn't it will resize it as necessary but is winding up with blocky pixels. An SR of blocky pixels is also blocky.

When you upsample, the dimensions match and no upsizing is needed. The SR works as expected.

To test this, pad the input image to the right and below with enough zero pixels to be twice the orig dimension.

FieldValue
text I'm new to the visual side so this is just a guess. Your model expects the input to be of a particular dimension. If it isn't it will resize it as necessary but is winding up with blocky pixels. An SR of blocky pixels is also blocky. When you upsample, the dimensions match and no upsizing is needed. The SR works as expected. To test this, pad the input image to the right and below with enough zero pixels to be twice the orig dimension.
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-20
username_encoded Z0FBQUFBQm5Lakw3dUZkRHdCbV9CTmxqUEtUNldUV2NQQjh1NEV6dHpvX3hobkxENVhhQzkzOWhIMEQwai1EUFRVWGNobjF4WXMzTHpPbGRCaVdwSEZ4bFdPbmdubkpWWWc9PQ==
url_encoded Z0FBQUFBQm5Lak9LRmxmT1VPY1dzaHhQb05XOFYtV2JHMGJtdElPbmdBM2VETENIUWJLcWtsZG9lT2h5ZndIcDlFQmd4M3FxZkJlVVVSVkREZVNaM21vQUZQdy1wTkdiWnRVSG1yczYyNm1jT21uWTRLRkJQRmFmQmMzOTc0UzFrQUtSeENfM1JnVWlSRUdqSHhfQlJsSkx5cHA4eXdkWU12WWMyMzRuOTh5YXlCbnRtQkp1TVNlOFJnSXhVVjBMYXM4d05YWGFFbEhk

Raw Record

{
  "text": "I'm new to the visual side so this is just a guess.  \n\nYour model expects the input to be of a particular dimension.  If it isn't it will resize it as necessary but is winding up with blocky pixels.  An SR of blocky pixels is also blocky.\n\nWhen you upsample, the dimensions match and no upsizing is needed.  The SR works as expected.\n\nTo test this, pad the input image to the right and below with enough zero pixels to be twice the orig dimension.",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw3dUZkRHdCbV9CTmxqUEtUNldUV2NQQjh1NEV6dHpvX3hobkxENVhhQzkzOWhIMEQwai1EUFRVWGNobjF4WXMzTHpPbGRCaVdwSEZ4bFdPbmdubkpWWWc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9LRmxmT1VPY1dzaHhQb05XOFYtV2JHMGJtdElPbmdBM2VETENIUWJLcWtsZG9lT2h5ZndIcDlFQmd4M3FxZkJlVVVSVkREZVNaM21vQUZQdy1wTkdiWnRVSG1yczYyNm1jT21uWTRLRkJQRmFmQmMzOTc0UzFrQUtSeENfM1JnVWlSRUdqSHhfQlJsSkx5cHA4eXdkWU12WWMyMzRuOTh5YXlCbnRtQkp1TVNlOFJnSXhVVjBMYXM4d05YWGFFbEhk"
}
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