I’m interested in video synthesis and video imitation for academic research reason. I try to run Pose training and test.
I have tried it to run on Google Colab.
I have some technical issues below :
Issue 1-)
%cd /content/few-shot-vid2vid
!python train.py --name pose --dataset_mode fewshot_pose --adaptive_spade --warp_ref --spade_combine --remove_face_labels --add_face_D --niter_single 100 --niter 200 --batchSize 2
…
File “/content/few-shot-vid2vid/data/image_folder.py”, line 65, in make_grouped_dataset
assert os.path.isdir(dir), ‘%s is not a valid directory’ % dir
AssertionError: datasets/pose/train_openpose is not a valid directory
How will I use DensePose and/or OpenPose ? I think they are deprecated. Where can I find data for datasets/pose/train_openpose ; datasets/pose/train_images , datasets/pose/train_densepose ?
Issue 2-) What is sample values for PATH_TO_SEQ and PATH_TO_REF_IMG on test.py ?
Poses
To test the trained model (bash ./scripts/pose/test.sh):
python test.py --name pose --dataset_mode fewshot_pose --adaptive_spade --warp_ref --spade_combine --remove_face_labels --finetune --seq_path [PATH_TO_SEQ] --ref_img_path [PATH_TO_REF_IMG]
I am looking forward to hearing from you soon.
Thank you.