mdyao / hdr-bitnet Goto Github PK
View Code? Open in Web Editor NEW[TMM 2023] Official Implementation of "Bidirectional Translation Between UHD-HDR and HD-SDR Videos"
License: MIT License
[TMM 2023] Official Implementation of "Bidirectional Translation Between UHD-HDR and HD-SDR Videos"
License: MIT License
How can I use this code to run a simple PNG to PNG image test?
I see your example code but it does not show how you have made the very impressive video example?
I would like to learn how to do this.
Hello, thank you for your repository!
I am having trouble executing the test, I was hoping you could provide some guidance @mdyao ?
I got as far as modifying this line to load the SDR file but I then get the following error below. Do you have any advice what I am doing wrong?
Original Traceback (most recent call last):
File "C:\Python39\lib\site-packages\torch\utils\data\_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "C:\Python39\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Python39\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Users\Development\HDR-BiTNet\data\JSH_dataset_val.py", line 42, in __getitem__
S = extrac_structure(HDR_img, SDR_img)
File "C:\Users\Development\HDR-BiTNet\models\extrac_S.py", line 50, in extrac_structure
out, HDR, SDR = extract_S(hdr, sdr)
File "C:\Users\Development\HDR-BiTNet\models\extrac_S.py", line 36, in extract_S
out = (SDR + HDR)/2
ValueError: operands could not be broadcast together with shapes (1,1,3840,2160) (1,1,1920,1080)
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