Part-Aware VQ-VAE Overlap Top3 20260529
Public checkpoint bundle for the part-aware-vqvae VQ-VAE rerun vq_overlap_top3_20260529.
Source workspace at export time: /iridisfs/scratch/ts1v23/workspace/part-aware-vqvae
Training output directory: /iridisfs/scratch/ts1v23/workspace/part-aware-vqvae/output/vq/2026-05-29-11-07-24_vq_overlap_top3_20260529
Git commit recorded at export time: 82d4a3f538ae8e1fc623b7c8694ba32111245062
Contents
weights/: all saved training checkpoints: best FID, best diversity, best Top1, best Top3, best matching score, and last.config/training_config.json: parsed JSON config from the training log plus launch command.config/skeleton_partition.json: overlap body-part partition used by this run.config/training_eval_summary.json: parsed training-time eval summary.logs/:run.log, launcher stdout/stderr log, and TensorBoard event file.code/: minimal code snapshot needed for loading/evaluation/reproduction, plus git status/diff.manifest.sha256: SHA256 checksums for every uploaded file.
Reproduce Launch
cd /scratch/ts1v23/workspace/part-aware-vqvae
conda activate tlcontrol
CUDA_VISIBLE_DEVICES=0 python -u train_vq.py --dataname t2m --seed 123 --exp-name vq_overlap_top3_20260529 --nb-code 128 --partition-file /scratch/ts1v23/workspace/part-aware-vqvae/partition_analysis/skeleton_partition.json
Important: this is the overlap-partition VQ-VAE (partition_analysis/skeleton_partition.json), not the MMM hardcoded/default-partition checkpoint.
Main Training-Time Metrics
See METRICS.md for the parsed table. Best FID checkpoint:
weights/net_best_fid.pth- iter: 165000
- FID: 0.0153
- R@1/R@2/R@3: 0.5153 / 0.7021 / 0.7965
- matching: 2.9400
- diversity: 9.6057
Caveat
The metrics bundled here are training-time eval metrics from run.log; they are not a formal offline 5-seed evaluation.
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