jialetao / dam Goto Github PK

Can I use a single image instead of a video as the driven input in your code?
If I want to warp a non-human object, like clothing, which weight should I choose?

Sorry for bothering... But for some reason I can't run your model on Google Colaborary...
When i try running this command line
!python demo.py --mode demo --config /content/DAM/config/mgif256-hdam.yaml --checkpoint /content/DAM/checkpoints/mgif-hdam.pth.tar --driving_video /content/DAM/demo/horse.gif --source_image /content/sample_data/212-2125063_horse-gif-google-search-horse-gif-running-animated.png --result_video /content/sample_data/result.mp4 --adapt_scale
I got an error:
demo.py: error: unrecognized arguments: --mode demo
Here is the link to my Google Colaborary
https://colab.research.google.com/drive/1j3wU5hKh2qMu8V4Ssd-zLF3KKfpuIpk0?usp=sharing
Thank you so much for helpingg!!

Hi,
First, thanks for your wonderful work and for making it open-source! I'm a little confused. Your method is ultimately about processing video, which should be converted frame by frame. But why can such methods produce relatively smooth video results without considering the temporal consistency of the video? Or why not model temporal consistency?

Hello, I was trying to install the dependencies and seems like there is an error with git LFS access and the file is not accessible. This is the error

batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.
error: failed to fetch some objects from 'https://github.com/JialeTao/DAM.git/info/lfs'

hello, thanks for your work .

I tried the demo using my drive video(a mp4 with 10 seconds) and source image, both of them are upper body of human , but the effect was very poor. just as following shows:

here is my command for inference:
python demo.py --config ./config/fashion-dam.yaml --checkpoint ./ckpt/fashion-dam.pth --driving_video ./drive_vid/demo.mp4 --source_image ./src_img/demo.png --result_video ./output/result.mp4 --adapt_scale

First of all, thanks for this model and project.
How can I get keypoints and make visualization?

作者您好，可以提供fashion数据集DAM的训练log文件吗？我自己训练L1结果一直不好，不知道哪里出了问题。