!5287 yolov3-resnet18 and ssd net ReadMe file normalize

Merge pull request !5287 from chengxb7532/master

model_zoo/official/cv/ssd/scripts/run_eval.sh

@@ -0,0 +1,65 @@
+#!/bin/bash
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+if [ $# != 3 ]
+then
+    echo "Usage: sh run_eval.sh [DATASET] [CHECKPOINT_PATH] [DEVICE_ID]"
+exit 1
+fi
+
+get_real_path(){
+  if [ "${1:0:1}" == "/" ]; then
+    echo "$1"
+  else
+    echo "$(realpath -m $PWD/$1)"
+  fi
+}
+
+DATASET=$1
+CHECKPOINT_PATH=$(get_real_path $2)
+echo $DATASET
+echo $CHECKPOINT_PATH
+
+if [ ! -f $CHECKPOINT_PATH ]
+then
+    echo "error: CHECKPOINT_PATH=$PATH2 is not a file"
+exit 1
+fi
+
+export DEVICE_NUM=1
+export DEVICE_ID=$3
+export RANK_SIZE=$DEVICE_NUM
+export RANK_ID=0
+
+BASE_PATH=$(cd "`dirname $0`" || exit; pwd)
+cd $BASE_PATH/../ || exit
+
+if [ -d "eval$3" ];
+then
+    rm -rf ./eval$3
+fi
+
+mkdir ./eval$3
+cp ./*.py ./eval$3
+cp -r ./src ./eval$3
+cd ./eval$3 || exit
+env > env.log
+echo "start infering for device $DEVICE_ID"
+python eval.py \
+    --dataset=$DATASET \
+    --checkpoint_path=$CHECKPOINT_PATH \
+    --device_id=$3 > log.txt 2>&1 &
+cd ..

model_zoo/official/cv/ssd/train.py

@@ -44,7 +44,7 @@ def main():
     parser.add_argument("--batch_size", type=int, default=32, help="Batch size, default is 32.")
     parser.add_argument("--pre_trained", type=str, default=None, help="Pretrained Checkpoint file path.")
     parser.add_argument("--pre_trained_epoch_size", type=int, default=0, help="Pretrained epoch size.")
-    parser.add_argument("--save_checkpoint_epochs", type=int, default=10, help="Save checkpoint epochs, default is 5.")
+    parser.add_argument("--save_checkpoint_epochs", type=int, default=10, help="Save checkpoint epochs, default is 10.")
     parser.add_argument("--loss_scale", type=int, default=1024, help="Loss scale, default is 1024.")
     parser.add_argument("--filter_weight", type=bool, default=False, help="Filter weight parameters, default is False.")
     args_opt = parser.parse_args()