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132 lines
3.4 KiB
132 lines
3.4 KiB
#!/bin/bash
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# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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if [ $# != 0 ] && [ $# != 1 ] && [ $# != 2 ] && [ $# != 3 ] && [ $# != 4 ] && [ $# != 5 ]
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then
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echo "Usage: sh train_standalone.sh [USE_DEVICE_ID] [PRETRAINED_BACKBONE] [DATASET] [ANNOTATIONS] [IMAGES]"
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echo " or: sh train_standalone.sh [USE_DEVICE_ID] [PRETRAINED_BACKBONE] [DATASET] [ANNOTATIONS]"
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echo " or: sh train_standalone.sh [USE_DEVICE_ID] [PRETRAINED_BACKBONE] [DATASET]"
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echo " or: sh train_standalone.sh [USE_DEVICE_ID] [PRETRAINED_BACKBONE]"
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echo " or: sh train_standalone.sh [USE_DEVICE_ID]"
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echo " or: sh train_standalone.sh "
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exit 1
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fi
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get_real_path(){
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if [ "${1:0:1}" == "/" ]; then
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echo "$1"
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else
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echo "$(realpath -m $PWD/$1)"
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fi
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}
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current_exec_path=$(pwd)
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echo ${current_exec_path}
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dirname_path=$(dirname "$(pwd)")
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echo ${dirname_path}
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SCRIPT_NAME='train.py'
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ulimit -c unlimited
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root=${current_exec_path} # your script path
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pretrained_backbone=${dirname_path}/mobilenet_v2.ckpt # or mobilenet_v2-b0353104.ckpt
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dataset_path=$root/dataset/centerface
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annot_path=$dataset_path/annotations/train.json
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img_dir=$dataset_path/images/train/images
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use_device_id=0
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if [ $# == 1 ]
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then
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use_device_id=$1
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fi
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if [ $# == 2 ]
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then
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pretrained_backbone=$(get_real_path $2)
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if [ ! -f $pretrained_backbone ]
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then
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echo "error: pretrained_backbone=$pretrained_backbone is not a file"
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exit 1
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fi
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fi
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if [ $# == 3 ]
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then
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dataset_path=$(get_real_path $3)
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if [ ! -f $dataset_path ]
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then
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echo "error: dataset_path=$dataset_path is not a file"
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exit 1
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fi
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fi
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if [ $# == 4 ]
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then
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annot_path=$(get_real_path $4)
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if [ ! -f $annot_path ]
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then
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echo "error: annot_path=$annot_path is not a file"
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exit 1
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fi
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fi
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if [ $# == 5 ]
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then
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img_dir=$(get_real_path $5)
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if [ ! -f $img_dir ]
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then
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echo "error: img_dir=$img_dir is not a file"
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exit 1
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fi
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fi
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echo $use_device_id
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echo $pretrained_backbone
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echo $dataset_path
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echo $annot_path
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echo $img_dir
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export PYTHONPATH=${dirname_path}:$PYTHONPATH
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export RANK_SIZE=1
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echo 'start training'
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echo 'start rank '$use_device_id
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rm -rf ${current_exec_path}/device$use_device_id
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mkdir ${current_exec_path}/device$use_device_id
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cd ${current_exec_path}/device$use_device_id || exit
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export RANK_ID=0
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dev=`expr $use_device_id + 0`
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export DEVICE_ID=$dev
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python ${dirname_path}/${SCRIPT_NAME} \
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--lr=5e-4 \
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--per_batch_size=8 \
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--is_distributed=0 \
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--t_max=140 \
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--max_epoch=140 \
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--warmup_epochs=0 \
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--lr_scheduler=multistep \
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--lr_epochs=90,120 \
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--weight_decay=0.0000 \
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--loss_scale=1024 \
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--pretrained_backbone=$pretrained_backbone \
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--data_dir=$dataset_path \
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--annot_path=$annot_path \
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--img_dir=$img_dir > train.log 2>&1 &
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echo 'running'
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