Comments (1)
Hi, the in-house HDR images are from multiple sources (e.g. the Fairchild Photographic Survey) and still frames from videos. Using cameras, the HDR images are usually formed using bracketed exposures. You can compute the dynamic range of the HDR image to check how "HDR" it is.
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Related Issues (20)
- Image range processing in the experiment stage HOT 1
- Where can I get the dataset? HOT 1
- Inquiry about Dataset HOT 3
- Question about video dataset HOT 1
- About the performance of the model in training HOT 6
- durand tmo is not avalable HOT 3
- Training, iterations and pictureamount HOT 7
- Which version of PyTorch do you use in this project? HOT 1
- about train data formats HOT 1
- about hdr image save HOT 3
- results in shadows HOT 21
- Not working at all HOT 8
- why it is not giving a hdr output? HOT 13
- Any updates on Training Source? HOT 4
- First line almost black HOT 1
- Can expanded output be in .exr format instead of .hdr format? or need more details on .hdr HOT 2
- iterating over png/jpg dataset from a folder HOT 4
- The domain of pre-train model HOT 3
- How to get the result of Table 2 and Table 3 HOT 5
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