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c50dde6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | #!/bin/bash
# Integrated Distillation 消融实验：EVA-CLIP-B/16 单卡调试
data_root=/opt/tiger/xiaomoguhzz/standard_coco
pretrain_ckpt=/opt/tiger/xiaomoguhzz/EVA02_CLIP_B_psz16_s8B.pt
exp_name=Debug_Integrated_EVA-B_DINOv2-B_560
vfm_type=dinov2-B
dataset_type=grid_distill
version=integrated
mode=vanilla
# 单卡调试
CUDA_VISIBLE_DEVICES=0 python -m training.main \
--batch-size=4 \
--lr=1e-5 \
--wd=0.1 \
--epochs=1 \
--workers=4 \
--model EVA02-CLIP-B-16 \
--pretrained eva \
--warmup 100 \
--zeroshot-frequency 1 \
--dataset-type ${dataset_type} \
--test-type coco_panoptic \
--train-data ${data_root}/annotations/instances_train2017.json \
--val-data ${data_root}/annotations/panoptic_val2017.json \
--embed-path metadata/coco_panoptic_clip_hand_craft_EVACLIP_ViTB16.npy \
--train-image-root ${data_root}/train2017 \
--val-image-root ${data_root}/val2017 \
--cache-dir ${pretrain_ckpt} \
--log-every-n-steps 10 \
--lock-image \
--save-frequency 1 \
--lock-image-unlocked-groups 12 \
--name ${exp_name} \
--downsample-factor 16 \
--det-image-size 560 \
--val-segm-root ${data_root}/annotations/panoptic_val2017 \
--alpha 0.7 \
--mode ${mode} \
--use_vfm ${vfm_type} \
--loss_context_weight 1.0 \
--loss_content_weight 1.0 \
--loss_region_weight 0.05 \
--skip-first-eval \
--repa_layer_idx -1 \
--version ${version}
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