Comments (6)
Yeah, but can it be a few days later?
I've had a paper going deadline recently.
I expect to add this part of the code around the 15th.
from safmn.
Hello, the code is available here
You can use this script to achieve memory-efficient forward, but the output may have a checkerboard effect.
python inference/inference_real_safmn.py --large_input
from safmn.
For the super-resolution of a large image with 2K or 4K pixels,
we can crop the input image into patches and perform SR on each of these sub-images and then merge them together.
You can refer this code to do so.
from safmn.
could you please help and more advice, cause I am not very familiar to python code.
could you please make .ipynb or .py file that can do this for me but in SAFMN project.
results are fantastic, I am very impressed, better than with swinir in most cases
(for inference without ground throuth images)
thanks
from safmn.
that is OK. keep hard work!
greetz
from safmn.
thank you very much
from safmn.
Related Issues (20)
- How to prepare data? HOT 1
- 关于损失函数的消融 HOT 2
- About Dataset
- KeyError: "No object named 'SAFMN' found in 'arch' registry!" HOT 2
- 请问可以分享PSNR vs Params图片的绘制代码? HOT 2
- 关于real-world模型 HOT 9
- 如何运行3倍 HOT 2
- RealGANModel模式各个损失的loss_weight设置 HOT 3
- 颜色空间 HOT 1
- 关于测试数据集 HOT 1
- 高质量yml 询问 HOT 4
- safmn的ONNX是否仅支持固定分辨率输入 HOT 1
- 测试报错 HOT 1
- AssertionError: An object named 'SAFMN' was already registered in 'arch' registry!的问题 HOT 3
- 训练过程中val集的问题 HOT 2
- Error when converting SAFMN to onnx HOT 1
- 推理性能 HOT 10
- SAFMN_Real 如何训练 HOT 6
- FLOPs 和 Multi-adds是否搞反了?
- 数据增强
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