Add installation instructions

README.md

@@ -40,34 +40,46 @@ Given a synthetic RAW noisy image as input, the RAW2RGB network branch maps it t
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+## Installation
+The model is built in PyTorch 1.1.0 and tested on Ubuntu 16.04 environment (Python3.7, CUDA9.0, cuDNN7.5).
+
+For installing, follow these intructions
+```
+sudo apt-get install cmake build-essential libjpeg-dev libpng-dev
+conda create -n pytorch1 python=3.7
+conda activate pytorch1
+conda install pytorch=1.1 torchvision=0.3 cudatoolkit=9.0 -c pytorch
+pip install matplotlib scikit-image yacs lycon natsort h5py tqdm
+```
+
 ## Evaluation
 #### Denoising RAW images of DND
 - Download the [model](https://drive.google.com/file/d/1yjI3JtfC1IluGB0LRlnpPTAY_UyY9mG8/view?usp=sharing) and place it in ./pretrained_models/denoising/
 - Download RAW [images](https://drive.google.com/drive/folders/15Bay1UJURlbP7kpS10_fJ96MxQ6B03Xv?usp=sharing) of DND and place them in ./datasets/dnd/dnd_raw/
 - Run
 ```
-$ python test_dnd_raw.py --save_images
+python test_dnd_raw.py --save_images
 ```
 #### Denoising RAW images of SIDD
 - Download the [model](https://drive.google.com/file/d/1m2A4goZENg_kKV1-FJoeg1rBqLj6WRIm/view?usp=sharing) and place it in ./pretrained_models/denoising/
 - Download RAW [images](https://drive.google.com/drive/folders/1invur2uE-QXHh-btHTZQetFcgjUAfbwc?usp=sharing) of SIDD and place them in ./datasets/sidd/sidd_raw/
 - Run
 ```
-$ python test_sidd_raw.py --save_images
+python test_sidd_raw.py --save_images
 ```
 #### Denoising sRGB images of DND
 - Download the [model](https://drive.google.com/file/d/1740sYH7bG-c-jL5wc3e1_NOpxwGTXS9c/view?usp=sharing) and place it in ./pretrained_models/denoising/
 - Download sRGB [images](https://drive.google.com/drive/folders/101AfVtkfizl20-XQ3leNt2cE_rI5ypeu?usp=sharing) of DND and place them in ./datasets/dnd/dnd_rgb/noisy/
 - Run
 ```
-$ python test_dnd_rgb.py --save_images
+python test_dnd_rgb.py --save_images
 ```
 #### Denoising sRGB images of SIDD
 - Download the [model](https://drive.google.com/file/d/1sraG9JKmp0ieLjntRL7Jj2FXBrPr-YVp/view?usp=sharing) and place it in ./pretrained_models/denoising/
 - Download sRGB [images](https://drive.google.com/drive/folders/1JGoCXqHESBIocpDabk74mnee6RA3oCoP?usp=sharing) of SIDD and place them in ./datasets/sidd/sidd_rgb/
 - Run
 ```
-$ python test_sidd_rgb.py --save_images
+python test_sidd_rgb.py --save_images
 ```
 ## Results on Real Image Datasets
 Experiments are performed for denoising images in RAW and sRGB spaces.