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2DCNN/src/shell/table5.sh
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1 | +#!/usr/bin/env sh | ||
2 | + | ||
3 | +# DEFINE | ||
4 | +DATA_ROOT_PATH="" | ||
5 | +DEVICE="cuda" | ||
6 | + | ||
7 | +################################################################################ | ||
8 | +#### Commands for training with slice along other dimensions (Table 5) | ||
9 | +#### we show the command for 2d-slice set network with mean operation and along | ||
10 | +#### coronal axis. | ||
11 | +#### for other models just use the command from table 1 section and add the | ||
12 | +#### data.frame_dim parameter, | ||
13 | +# 1 for sagittal (default) | ||
14 | +# 2 for coronal | ||
15 | +# 3 for axial | ||
16 | +################################################################################ | ||
17 | +python3 -m src.scripts.main -c config/config.py \ | ||
18 | + --exp_name 2d_slice_mean_frame_dim_2 \ | ||
19 | + -r result/2d_slice_mean_frame_dim_2 \ | ||
20 | + --device $DEVICE --wandb.use 0 \ | ||
21 | + --model.arch.file src/arch/brain_age_slice_set.py \ | ||
22 | + --model.arch.attn_dim 32 --model.arch.attn_num_heads 1 \ | ||
23 | + --model.arch.attn_drop 1 --model.arch.agg_fn "mean" \ | ||
24 | + --data.root_path "$DATA_ROOT_PATH" \ | ||
25 | + --data.frame_dim 2 | ||
26 | + | ||
27 | + |
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