FashionGAN: Difference between revisions

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===Weekly Project Plan===
===Project Plan===


{| class="wikitable" width="80%"
{| class="wikitable" width="80%"
! Week !! Tasks !! Completion
! Week !! Tasks !! Completion
|-
|-
| Week 4
| Week 3
|  
|  
* Read topic-related Acadamic papers to figure basic paradigms
* Choose our project between the ones that were presented in class
* Brainstorm and present initial ideas for the project
* Prepare for the first presentation


| ✓
| ✓
|-
|-
| Week 5
| Weeks 4-5-6
|  
|  
* Learn the standard process for NLP preprocessing.
* Find some clothing datasets
* Find suitable news datasets and economic crisis labels.
* Read papers, understand how DragGAN works
* Define the project
* Get familiar with the libraries we want to use (selenium, opencv...)
| ✓
| ✓
|-
|-
| Week 6
| Weeks 7-8-9
|  
|  
* Initially define the entire project's workflow.
* Scrap the data from nowfashion website
* Configure the development environment and master the relevant software and libraries.
* Resize images
* Finishing data preprocessing on the news dataset.
* Clean dataset (remove the pictures that aren't in the same format as the other)
| ✓
* Get familiar with StyleGAN and its functioning
|-
* Find a textile dataset
| Week 7
|
* Completing the feature engineering construction and basic pipeline for the TF-IDF based model. (Completed)
* Completing the feature engineering construction and basic pipeline for the sentiment dictionary-based model.
| ✓
|-
| Weeks 8–9
|
* Choose and train appropriate machine learning models to build feature-to-label mappings.
* Learn and implement cross-validation of timing models to validate model performance.
* Analyze the experimental results and summarize preliminary conclusions.
| ✓
| ✓
|-
|-
| Week 10
| Week 10
|  
|  
* Prepare slides for the midterm presentation.(Completed)
* Define a precise planning for the following weeks
* Fill in information on wiki.
* Prepare for the presentation
* Write the Project Plan and the Milestones on the wiki page
* Figure out how to implement the texture changes
* Begin the training of the dataset with StyleGAN
| ✓
| ✓
|-
|-
| Week 11
| Week 11
|  
|  
* Expand the fine-grained news dataset and replenish the economic analysis metrics.
* Install a Virtual Machine to use linux
* Introduce pre-trained models with transformer architecture to optimize the extraction of sentiment features.
* Finish the training on the VM
* Explore a variety of deep learning and machine learning techniques for optimization.
* Get DragGAN to work on the VM
|
|
|-
|-
| Week 12
| Week 12
|  
|  
* Complete project workflows on new datasets with new time series models.
* Work on the texture changing tool
* Compare the results and analyze the correlations between sentiment scores and different financial indicators.
* Implement the texture changing interface
* Decision fusion for enhancing model performance.
* Start writing the description of the methods on the wiki page
|  
|
|-
|-
| Week 13
| Week 13
|  
|  
* Achieve visual representation to display news trends, sentiment analysis outcomes, and predictive metrics.
* Adapt the DragGAN GUI to be more intuitive
* Finalize modifications and refinements for the project's concluding model iterations.
*Finalize and clean the code to then commit it to Github
|
*Finish writing the wiki page
|-
|
| Week 14
|
* Write the report.
* Prepare for the final presentation.
|  
|  
|}
|}

Revision as of 15:33, 6 December 2023

Milestones and Project plan

Milestones

Milestone 1

Milestone 2

Project Plan

Week Tasks Completion
Week 3
  • Choose our project between the ones that were presented in class
  • Prepare for the first presentation
Weeks 4-5-6
  • Find some clothing datasets
  • Read papers, understand how DragGAN works
  • Define the project
  • Get familiar with the libraries we want to use (selenium, opencv...)
Weeks 7-8-9
  • Scrap the data from nowfashion website
  • Resize images
  • Clean dataset (remove the pictures that aren't in the same format as the other)
  • Get familiar with StyleGAN and its functioning
  • Find a textile dataset
Week 10
  • Define a precise planning for the following weeks
  • Prepare for the presentation
  • Write the Project Plan and the Milestones on the wiki page
  • Figure out how to implement the texture changes
  • Begin the training of the dataset with StyleGAN
Week 11
  • Install a Virtual Machine to use linux
  • Finish the training on the VM
  • Get DragGAN to work on the VM
Week 12
  • Work on the texture changing tool
  • Implement the texture changing interface
  • Start writing the description of the methods on the wiki page
Week 13
  • Adapt the DragGAN GUI to be more intuitive
  • Finalize and clean the code to then commit it to Github
  • Finish writing the wiki page