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我想要作者您在NTIRE2023HR Non-Homogeneous Dehazing比赛中的pth文件以及对应的测试集去雾结果,谢谢
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Hi,
where can I download your dehazing dataset including traing, validation, and testing.
Should I search the dataset online myself?
Thank you.
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Should scale from -100% to 100% to remove or add atmospheric haze in an image.
- [ ] Initial CPU implementation
- [ ] GPU-accelerated implementation with rust-gpu and WGPU
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I just want to get dehazed image,but the origin code `test.py` is too complex to use,so i try to get the core part
```
from models.networks import ResnetGenerator,_UNetGenerator
import cv2
from …
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It’s an awesome work, and thank you for sharing.😄
When I apply DA-CLIP to train on my own dataset for a dehazing task, I encounter an error during testing: "CUDA out of memory." It seems like the i…
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do you think retrain your model on dehazing work andk it will be useful?
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What are the metrics obtained by your method on the dehazing dataset (outdoor and indoor)
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Hello Luo:
Nice work!
I encountered a problem during the training process using the IITS data set:
**AssertionError: GT and LR datasets have different number of images - 13990, 1399.**
Is thi…
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Can dehazing results for SOTS and NTIRE datasets be available?
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in dehazing.py, What is the meaning of gt_ambient? and why gt_ambient=np.array([0.5600084 , 0.64564645, 0.72515032]), please...