Download vit
and unet
models from GitHub repository releases. Models are named as vit_base_patch32_224
and unet_aicityt4
respectively. Unzip them and keep the vit_base_patch32_224.pt
and unet_aicityt4.pth
files in models folder.
Alternatively, Download the models from this link. and store them as mentioned above.
Copy and paste test folder in this directory. For example, test-videos
contains the mp4 files and video_id.txt
file in this order:
training/
test/
models/
test-videos/
testA_1.mp4
testA_2.mp4
testA_3.mp4
...
video_id.txt
infer.py
....
Run infer.py "<folder-name>"
to generate submission.txt
For above example, it would be like:
python infer.py "test-videos"