Comments (6)
Strangely, I have the same problem with my own HDR dataset. Additionally, I just use OpenCV version 4.4 instead of 3, is this the reason for this problem?
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Today, I replace your 5 tone mapping methods with another tone mapping method, and I am surprised to find that the training goes well. But in order to make a fair comparison and get the correct results in your paper, I still want to know why using your 5 tone mapping method can't train the model properly. Could you help me find the reasion?
from hdr-expandnet.
Hello there,
I'm glad it works now. I'm not sure what exactly is going wrong, but it sounds like it's with the tone mapping. I haven't ran the training recently with newer versions of the libraries so that might be the problem.
In any case, maybe try to run it using a single tone mapper each time from the provided OpenCV ones. This way you might find the specific tone mapper that causes the problem.
Best,
Demetris
from hdr-expandnet.
OKay, I will try it.
from hdr-expandnet.
Experiments show that different version of OpenCV is the key reason. I recommend that you can emphasize this issue in the "README.md" so that others do not encounter the same problem. Thank you very much for your prompt reply.
from hdr-expandnet.
Thanks for investigating this! I will add a note on the readme.
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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
- 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
- How to get the in-house HDR image? 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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