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!14853 fixed the bad links

From: @oacjiewen
Reviewed-by: @wuxuejian,@c_34
Signed-off-by: @wuxuejian
tags/v1.2.0
mindspore-ci-bot Gitee 5 years ago
parent
commit
ef27f1f663
1 changed files with 16 additions and 11 deletions
  1. +16
    -11
      model_zoo/research/cv/IPT/readme.md

+ 16
- 11
model_zoo/research/cv/IPT/readme.md View File

@@ -17,7 +17,9 @@ If you find our work useful in your research or publication, please cite our wor
}
## Model architecture
### The overall network architecture of IPT is shown as below:
### The overall network architecture of IPT is shown as below
![architecture](./image/ipt.png)
## Dataset
@@ -27,12 +29,9 @@ The benchmark datasets can be downloaded as follows:
For super-resolution:
Set5,
[Set14](https://sites.google.com/site/romanzeyde/research-interests),
[B100](https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/),
[Urban100](https://sites.google.com/site/jbhuang0604/publications/struct_sr).
Urban100.
For denoising:
@@ -47,11 +46,15 @@ The result images are converted into YCbCr color space. The PSNR is evaluated on
## Requirements
### Hardware (GPU)
> Prepare hardware environment with GPU.
### Framework
> [MindSpore](https://www.mindspore.cn/install/en)
### For more information, please check the resources below:
### For more information, please check the resources below
[MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
[MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
@@ -61,7 +64,7 @@ The result images are converted into YCbCr color space. The PSNR is evaluated on
### Scripts and Sample Code
```
```bash
IPT
├── eval.py # inference entry
├── image
@@ -95,23 +98,25 @@ IPT
## Evaluation
### Evaluation Process
> Inference example:
> For SR x4:
```
```bash
python eval.py --dir_data ../../data/ --data_test Set14 --nochange --test_only --ext img --chop_new --scale 4 --pth_path ./model/IPT_sr4.ckpt
```
> Or one can run following script for all tasks.
```
```bash
sh scripts/run_eval.sh
```
### Evaluation Result
The result are evaluated by the value of PSNR (Peak Signal-to-Noise Ratio), and the format is as following.
```
```bash
result: {"Mean psnr of Se5 x4 is 32.68"}
```
@@ -144,4 +149,4 @@ Derain results:
## ModeZoo Homepage
Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).

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