Skip to content

Awesome-guys-in-ECE1747/ECE1512_2022W_ProjectRepo_J.Xu_and_W.Xu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ECE1512_2022W_ProjectRepo_J.Xu_and_W.Xu

The Project Repository of ECE1512 2020W

PYTHON VERSION   License   Tensorflow Version

About this Repository

This repository is the project repo of ECE1512 2022W at University of Toronto. We make the repository public only on purpose for reviewing and grading. This approach will no longer be maintained after the 2020 Winter term, but releases and updatings will be continuously posted here.

Repository Structure

This repository will be as two project folder, Project A and B. The structure of Project A is as followed, which focusing on XAI problem.

└── ProjectA
    ├── Project_A_Supp
    │   ├── attruibution methods
    │   ├── hmt_dataset
    │   │   ├── HMT_test
    │   │   │   ├── 01_TUMOR
    │   │   │   ├── 02_STROMA
    │   │   │   ├── 03_COMPLEX
    │   │   │   ├── 04_LYMPHO
    │   │   │   ├── 05_DEBRIS
    │   │   │   ├── 06_MUCOSA
    │   │   │   ├── 07_ADIPOSE
    │   │   │   └── 08_EMPTY
    │   │   └── HMT_train
    │   │       ├── 01_TUMOR
    │   │       ├── 02_STROMA
    │   │       ├── 03_COMPLEX
    │   │       ├── 04_LYMPHO
    │   │       ├── 05_DEBRIS
    │   │       ├── 06_MUCOSA
    │   │       ├── 07_ADIPOSE
    │   │       └── 08_EMPTY
    │   ├── log2
    │   │   └── train
    │   └── models
    └── Report
        └── graphs

The structure of Project B is as followed, it focus on the Knowledge Distillation Problem.

└─ProjectB
    ├─models
    │  └─Task2
    ├─Project_B_Supp
    │  └─mhist_dataset
    │      └─images
    └─Report
        ├─.texpadtmp
        └─graphs
            └─task2

Install Dependencies

We provided easy set-up for our notebooks and experiments, but commands are not guaranteed to operate in all the systems. Our test environment is based on Python 3.8/3.9 on Windows 10/11 AMD64.

Install the Python requirements using

pip install -r requirements.txt --upgrade

Recommend to use module mode for PYPI, try this while using Python 3.8 in Windows

py -3.8 -m pip install -r requirements.txt --upgrade