I use the default config of DDT-XL/256 to sample images and download VIRTUAL_imagenet256_labeled.npz for evaluation using 'ADM-evaluation-suite-pytorch'
This is my script:
pred_npz=universal_flow_workdirs/exp_repa_flatten_condit22_dit6_fixt_xl_20251110_014343/val/predict/output.npz
python ADM-evaluation-suite-pytorch/evaluator.py \
/node2/disk2/dataset/ILSVRC2012/VIRTUAL_imagenet256_labeled.npz \
${pred_npz}
The results:
Inception Score: 67.99991607666016
FID: 1.2773754512323308
sFID: 4.532291743289761
Precision: 0.78816
Recall: 0.6442
Most are right except Inception Score, why is the score so low ?
By the way, can you show the config of DDT-B/2 please?
I use the default config of DDT-XL/256 to sample images and download VIRTUAL_imagenet256_labeled.npz for evaluation using 'ADM-evaluation-suite-pytorch'
This is my script:
The results:
Most are right except Inception Score, why is the score so low ?
By the way, can you show the config of DDT-B/2 please?