Please click this link to view the slides of HW4

To start working on this assignment, you should clone this repository into your local machine by using the following command.

git clone https://github.com/DLCV-Fall-2022/hw4-<username>.git

Note that you should replace <username> with your own GitHub username.

please download hw4_data from the link below https://drive.google.com/file/d/1Tc0f28syYVE185Z6388DWUOVHGSANCmX/view?usp=share_link

2022/12/12 (Mon.) 23:59

This homework should be done using python3.8. For a list of packages you are allowed to import in this assignment, please refer to the requirements.txt for more details.

You can run the following command to install all the packages listed in the requirements.txt:

pip install -r requirements.txt --no-cache-dir && pip install torch-scatter -f https://data.pyg.org/whl/torch-1.12.0+cu102.html --no-cache-dir

Note that using packages with different versions will very likely lead to compatibility issues, so make sure that you install the correct version if one is specified above. E-mail or ask the TAs first if you want to import other packages.

If you have any problems related to HW4, you may

• Use TA hours
• Contact TAs by e-mail ([email protected])
• Post your question under hw4 FAQ section in FB group.(But TAs won't answer your question on FB.)