command_train.sh.jester.experiment

#!/bin/sh

command_file=`basename "$0"`
script_file=train.py
gpu=0,1,2,3
data=/datasets/jester/gulp_128
model=c2d_resnet34_cp_112
model_path=pretrained_models/ImageNet-ResNet34.npz
batch_size=32
learning_rate=0.01
num_threads=6
num_frames=12
frame_step=2
width=112
height=112
num_classes=27
decay_step=40
symmetric_flip_labels=11:12,16:17
log_dir=log_jester_${model}_${num_frames}_${frame_step}_train
log_file=$log_dir.txt

##### pay attention to augmentation in train.py: spatial_transforms.RandomHorizontalFlip and spatial_transforms.Resize

# export PYTHONPATH=$PYTHONPATH:$(pwd)/gulpio/gulpio
# export PYTHONPATH=$PYTHONPATH:$(pwd)/gulpio

python3 $script_file \
    --decay_step $decay_step \
    --gpu $gpu \
    --data $data \
    --model $model \
    --model_path $model_path \
    --log_dir $log_dir \
    --batch_size $batch_size \
    --learning_rate $learning_rate \
    --num_threads $num_threads \
    --num_frames $num_frames \
    --frame_step $frame_step \
    --width $width \
    --height $height \
    --num_classes $num_classes \
    --symmetric_flip_labels $symmetric_flip_labels \
    --command_file $command_file \
    > $log_file 2>&1 &