mmselfsup/tools/benchmarks/mmdetection/mim_dist_train_fpn.sh
Wangbo Zhao(黑色枷锁) d2f490f515
[Refactor] Refactor benchmark config files (#399)
* modify config files

* modify config files

* modify config files

* modify config files

* modify config files

* modify config files

* modify config files

* modify configs

* modify configs

* modify config files
2022-08-14 18:21:12 +08:00

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#!/usr/bin/env bash
set -x
CFG=$1
PRETRAIN=$2 # pretrained model
GPUS=$3
PY_ARGS=${@:4}
# set work_dir according to config path and pretrained model to distinguish different models
WORK_DIR="$(echo ${CFG%.*} | sed -e "s/configs/work_dirs/g")/$(echo $PRETRAIN | rev | cut -d/ -f 1 | rev)"
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
mim train mmdet $CFG \
--launcher pytorch -G $GPUS \
--work-dir $WORK_DIR \
--cfg-options model.backbone.init_cfg.type=Pretrained \
model.backbone.init_cfg.checkpoint=$PRETRAIN \
model.backbone.init_cfg.prefix="backbone." \
$PY_ARGS