nba_modal in first row is downloaded from (https://drive.google.com/file/d/1P5PlFb3cEjhHky0boHWtwc44xkCFZWdM/view?usp=sharing). And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.
my_nba_model in the second row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.
my_nba_model in the third row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.
my_nba_model_finetune in the last row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model_finetune --dataset nba --resume_checkpoint save/nba/nba_diffusion_model/checkpoint_500000.pth
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model_finetune/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.
Why are the indicators of the last three models lower than the indicators of the first model?
Hello @GithubAccountTo ,
thank you for pointing this out. It might have something to do with the default hyperparameters, but I will try to reproduce your problem and look into it.
nba_modal in first row is downloaded from (https://drive.google.com/file/d/1P5PlFb3cEjhHky0boHWtwc44xkCFZWdM/view?usp=sharing). And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.my_nba_model in the second row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I usepython -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.my_nba_model in the third row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I usepython -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.my_nba_model_finetune in the last row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model_finetune --dataset nba --resume_checkpoint save/nba/nba_diffusion_model/checkpoint_500000.pth
And then I usepython -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model_finetune/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.Why are the indicators of the last three models lower than the indicators of the first model?