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RIDNet IMAGE DENOISOR
Model: https://github.com/lienghongky/RIDNet_Denoisor UI Tools: https://github.com/lienghongky/PicyShake
FILEPATH
"""
Project Structure:
- main.py: The main entry point of the project.
- utils.py: Contains utility functions used in the project.
- datasets/: Directory containing the dataset for training and testing.
- models/: Directory containing the trained models.
- model_checkpoints: Save model every epoch
How to Run Train Test:
- Install the required dependencies by running
pip install -r requirements.txt
. - Install the required dependencies by running
pip install -r requirements.txt
. - Prepare the dataset by placing the training and testing data in the
datasets/
directory. or runpython preprocess.py
, By runing this script the following directories will be created.
# datasets directory structure
# datasets
# βββ train
# β βββ groundtruth
# β β βββ 0001.png
# β β βββ 0002.png
# β β βββ ...
# β β βββ 1000.png
# β βββ input
# β βββ 0001.png
# β βββ 0002.png
# β βββ ...
# β βββ 1000.png
# βββ test
# β βββ groundtruth
# β β βββ 0001.png
# β β βββ 0002.png
# β β βββ ...
# β β βββ 100.png
# β βββ input
# β βββ 0001.png
# β βββ 0002.png
# β βββ ...
# β βββ 100.png
# βββ validation
# βββ groundtruth
# β βββ 0001.png
# β βββ 0002.png
# β βββ ...
# β βββ 100.png
# βββ input
# βββ 0001.png
# βββ 0002.png
# βββ ...
# βββ 100.png
```
4. Run the train script by executing `python train.py`.
5. Run the test script by executing `python test.py`.
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