Comments (10)
For the real images, first, accurate kernel estimation is required to get plausible result.
Second, most of the real images have JPEG compression artifacts and noise. It looks like the JPEG artifacts are boosted. So, add a small amount of noise during adaptation for better performance.
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how to test by using my own dataset?
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how to test by using my own dataset?
You just need to replace the pictures in ‘Input/g20/Set5’ and delete the relevant code of 'gt' in test.py
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For the real images, first, accurate kernel estimation is required to get plausible result.
Second, most of the real images have JPEG compression artifacts and noise. It looks like the JPEG artifacts are boosted. So, add a small amount of noise during adaptation for better performance.
How do i do that? I'm not sure which part is adaptation.
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For the real images, first, accurate kernel estimation is required to get plausible result.
Second, most of the real images have JPEG compression artifacts and noise. It looks like the JPEG artifacts are boosted. So, add a small amount of noise during adaptation for better performance.
Your method is amazing, I can ask where in the code noise can be added to improve the picture quality, I am a novice, first of all thank you for your answer
from mzsr.
how to test by using my own dataset?
You just need to replace the pictures in ‘Input/g20/Set5’ and delete the relevant code of 'gt' in test.py
Hello, I also encountered the same problem, have you solved it? How to solve it?
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Please @zerodohero I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??
NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]
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Please @akhil451 I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??
NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]
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Please @Rainyliuliu I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??
NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]
from mzsr.
Please @zerodohero I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??
NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]
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Related Issues (20)
- Variable dimensions are incompatible while calculating l1_loss(during Large-Scale_Training) HOT 1
- about the high_resolution image HOT 3
- How to obtain X3 experimental results HOT 2
- Unable to create event file HOT 2
- Why is the downsampling operator implemented by a model rather than a algorithm in the meta-test step HOT 3
- When I ran large-scale training code, I have some problems. Could you help me? HOT 4
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd5 in position 86: invalid continuation byte HOT 3
- Reproduction with the given model HOT 5
- During reproducing “bicubic” downsampling scenario... HOT 2
- Where is the path I should insert of checkpoint the trained large scale training model ? HOT 1
- Error during Large Scale Training HOT 1
- Problem when i load the pretrained model , specially when it reads the checkpoint HOT 1
- I do not understand how to calculate the weight loss ?
- Error during large scale training
- AlreadyExistsError during Meta-training
- Use MZSR without CUDA?
- Sir,I have a problem when training
- train the model
- Model results
- distributed training
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