Validation Results Are Good But Test Results Are Unsatisfactory (Pose)
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Thanks for this excellent works.
I am trying to train for pose.
My dataset has 3 sequences and nearly 40000 frames.
Train is at 99 epochs now.
Validation results are very good.
But when i take a test, results are unsatisfactory.
Hands like ghost and face is very bad.
Shall I wait or is there a problem?
Train code that i used is here.
python train.py --name pose --dataset_mode fewshot_pose --adaptive_spade --warp_ref --spade_combine --niter_single 150 --niter 200 --batchSize 1 --lr 0.00004
Thanks a lot.
maybe "--remove_face_labels" and "--add_face_D" will be useful.
maybe "--remove_face_labels" and "--add_face_D" will be useful.
I trained until 60 epoch using them.
But faces were terrible in validation results, like the following issue.
So i have started a new train without them.
Now, validation results are good but test results not.
Have you trained the face model? Have you meet the problem at this link #64?
or can you share the face-trained model with me? thank you!
This repo is now deprecated. Please refer to the new Imaginaire repo: https://github.com/NVlabs/imaginaire.