Can someone explain the file structure/tree for training?
justinjohn0306 opened this issue · 2 comments
Can someone explain the file structure/tree for training?
I'm really trying to get this working...I've tried other repos but they're not as good as this one.
Any help would be appreciated.
Hi,
It's my experience when I implement this project, hope it can help .
First, you need openpose to get source&target video's frames & their keypoints file :
https://github.com/CMU-Perceptual-Computing-Lab/openpose
Then, check graph_train.py in data_pre folder, check the instruction of parameters in file, you may find out which folder you should place the training data . ( graph_train.py is to prepare file, the output is the data for training . )
Other concepts can take pix2pixHD for reference :
https://github.com/NVIDIA/pix2pixHD
@ipwefpo Could you explain this in more detail. Here is my understanding about how to set up the training data:
train_img, train_label, train_facetexts128
are available from the download link on the official website https://carolineec.github.io/everybody_dance_now/.
But I see two more directories keypoints, original_frames
in the sample_data
directory. So, is the purpose of graph_train.py
, to generate these two directories from the downloaded data?
Also, what is the content of original_frames
?