rajat95 / deep-deghosting-hdr Goto Github PK

Hi,
Thanks for your contribution firstly. I want to download the proposed dataset from https://val.cds.iisc.ac.in/HDR/ICCP19/
but the website show the error "You are not authorized to perform this action".

i trained the refinenet used the kalantari_dataset (input_flies, i did not use the aligned files). i wonder if you used the train_refine.py to train the model, i concat the optical flow as the input , which you used in infer.py , i have trained(55001,155001) iters ,but i don't think the result is good as the pretrained model , here is my output for ManStanding

I want to use this dataset to train my model; I am confused about the meanings of ExposureTimes and ExposureBias in the dataset. Thanks for your reply!

Hi @rajat95 ,
How to download the Database(582 varying exposure images) ?
Thank you.

I appreciate your work very much. I would like to ask you about the reconstruction of a single image, because the model is suitable for any number of inputs, so can the network be extended to the reconstruction of a single image without considering optical flow correction? Thank you.

To Do.

Hi @rajat95 @KRamPrabhakar

I use the tied network with the corresponding parameter to test a five exposure sequence (kindly refer to the BabyOnGrass scene in Sen's paper：https://web.ece.ucsb.edu/~psen/hdr_stuff/Scenes.zip). However, the result is prone to ghosting artifacts, as shown in the blow.

Thus，I am confused whether our mistaken reproduction caused this problem since the code of an arbitrary number of inputs is not available. If the result has any questions, please let me know.

If possible, could you provide the testing code, which accepts arbitrary exposures, or the results (.hdr) on Sen's dataset (https://web.ece.ucsb.edu/~psen/hdr_stuff/Scenes.zip)?

It is really appreciated any help you can provide.

Best,
Hanwei

Hi, I tried to download your dataset through the link: http://val.serc.iisc.ernet.in/ICCP19/, but it raise error "This request could not be forwarded to the origin server or to any parent caches".

Thank you for your sharing. The model download link in Checkpoint cannot be opened. Could you please provide a new download link? Thank you!

Could you briefly describe how to build the training dataset for the Refinement Network during the research?
Thanks.

I found that you had put the dataset on http://val.serc.iisc.ernet.in/ICCP19/files/ICCP19_dataset/tar_files/. Is this dataset for training both Refinement and Fusion Network?

Dear @rajat95 @KRamPrabhakar ,

Thanks for you excellent job. the homepage has broken down for a long time. So I am here to request for another valid link to access the dataset and pre-trained parameters, for example, google drive. Thanks in advance.

Best,
Hanwei

Hi, I have downloaded the pre-trained model and run your code with the command “python infer.py --source_dir ./data_samples/test_set --fusion_model tied --ref_label 2 --gpu 0”, but got the error:
"Key DeepFuse/downsample0/bias not found in checkpoint
[[node save_2/RestoreV2 (defined at infer.py:153) ]]"

Is there anything wrong with the model?
Thanks!