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{
"name": "18_Image_Enhancement_SRGAN_DIV2K_DL",
"query": "I need to create a system for image enhancement using an SRGAN model (you can obtain a pre-trained SRGAN [here](https://github.com/tensorlayer/srgan)) with the DIV2K dataset, which can be downloaded from [this link](https://data.vision.ee.ethz.ch/cvl/DIV2K/). The dataset should be loaded in the `src/data_loader.py` file. The system should preprocess the images, including resizing and normalization, in `src/data_loader.py`. Use a pre-trained model saved under `models/saved_models/` to save time, and save the enhanced images to the `results/figures/` directory. Additionally, the system should visualize and save the comparison between the original and enhanced images to `results/figures/enhanced_comparison.png`. Finally, create a Markdown report with results and visualizations on a diverse set of samples to showcase the model's performance on various types of images, and save it as `results/report.md`. The report should include a detailed comparison of the model's performance on these selected samples, highlighting where the model excels or struggles.",
"tags": [
"Computer Vision",
"Generative Models"
],
"requirements": [
{
"requirement_id": 0,
"prerequisites": [],
"criteria": "The \"DIV2K\" dataset is loaded in the `src/data_loader.py` file.",
"category": "Dataset or Environment",
"satisfied": null
},
{
"requirement_id": 1,
"prerequisites": [],
"criteria": "A pre-trained \"SRGAN\" model is saved under `models/saved_models/`.",
"category": "Save Trained Model",
"satisfied": null
},
{
"requirement_id": 2,
"prerequisites": [
0
],
"criteria": "Image preprocessing, including resizing and normalization, is implemented in `src/data_loader.py`.",
"category": "Data preprocessing and postprocessing",
"satisfied": null
},
{
"requirement_id": 3,
"prerequisites": [
0,
1,
2
],
"criteria": "Enhanced images are saved to the specified folder `results/figures/`.",
"category": "Data preprocessing and postprocessing",
"satisfied": null
},
{
"requirement_id": 4,
"prerequisites": [
0,
1,
2,
3
],
"criteria": "The comparison of original and enhanced images is visualized and saved as `results/figures/enhanced_comparison.png`.",
"category": "Visualization",
"satisfied": null
},
{
"requirement_id": 5,
"prerequisites": [
1,
2,
3,
4
],
"criteria": "A Markdown file containing results and visualizations is generated and saved as `results/report.md`.",
"category": "Visualization",
"satisfied": null
}
],
"preferences": [
{
"preference_id": 0,
"criteria": "A diverse set of samples should be selected to showcase the model's performance across different types of images.",
"satisfied": null
},
{
"preference_id": 1,
"criteria": "The Markdown report should include a detailed comparison of the model's performance on these selected samples, highlighting where the model excels or struggles.",
"satisfied": null
}
],
"is_kaggle_api_needed": false,
"is_training_needed": false,
"is_web_navigation_needed": true
} |