fix README.md and shell scripts in fasterrcnn

model_zoo/official/cv/faster_rcnn/README.md

@@ -93,7 +93,8 @@ sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_MODEL]
 sh run_standalone_train.sh [PRETRAINED_MODEL]
 ```
  
-> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/tutorial/en/master/advanced_use/distributed_training.html).
+> Rank_table.json which is specified by MINDSPORE_HCCL_CONFIG_PATH is needed when you are running a distribute task. You can generate it by using the [hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).
+> As for PRETRAINED_MODEL，if not set, the model will be trained from the very beginning.Ready-made pretrained_models are not available now. Stay tuned.
 
 #### Result
  

model_zoo/official/cv/faster_rcnn/scripts/run_distribute_train.sh

@@ -14,7 +14,7 @@
 # limitations under the License.
 # ============================================================================
 
-if [ $# != 2 ]
+if [ $# -lt 1 ] || [ $# -gt 2 ]
 then 
     echo "Usage: sh run_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_PATH]"
 exit 1
@@ -27,11 +27,9 @@ get_real_path(){
     echo "$(realpath -m $PWD/$1)"
   fi
 }
-PATH1=$(get_real_path $1)
-PATH2=$(get_real_path $2)
 
+PATH1=$(get_real_path $1)
 echo $PATH1
-echo $PATH2
 
 if [ ! -f $PATH1 ]
 then 
@@ -39,10 +37,15 @@ then
 exit 1
 fi 
 
-if [ ! -f $PATH2 ]
-then 
-    echo "error: PRETRAINED_PATH=$PATH2 is not a file"
-exit 1
+if [ $# == 2 ]
+then
+    PATH2=$(get_real_path $2)
+    echo $PATH2
+    if [ ! -f $PATH2 ]
+    then 
+	echo "error: PRETRAINED_PATH=$PATH2 is not a file"
+    exit 1
+    fi
 fi
 
 ulimit -u unlimited
@@ -63,7 +66,11 @@ do
     cd ./train_parallel$i || exit
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
-    python train.py --do_train=True  --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM \
-                    --pre_trained=$PATH2 &> log &
+    if [ $# == 2 ]
+    then 
+        python train.py --do_train=True  --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM --pre_trained=$PATH2 &> log &
+    else
+        python train.py --do_train=True  --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM  &> log &
+    fi
     cd ..
 done

model_zoo/official/cv/faster_rcnn/scripts/run_standalone_train.sh

@@ -14,7 +14,7 @@
 # limitations under the License.
 # ============================================================================
 
-if [ $# != 1 ]
+if [ $# -gt 1 ]
 then 
     echo "Usage: sh run_standalone_train.sh [PRETRAINED_PATH]"
 exit 1
@@ -27,13 +27,17 @@ get_real_path(){
     echo "$(realpath -m $PWD/$1)"
   fi
 }
-PATH1=$(get_real_path $1)
-echo $PATH1
 
-if [ ! -f $PATH1 ]
-then 
-    echo "error: PRETRAINED_PATH=$PATH1 is not a file"
-exit 1
+if [ $# == 1 ]
+then
+    PATH1=$(get_real_path $1)
+    echo $PATH1
+
+    if [ ! -f $PATH1 ]
+    then 
+        echo "error: PRETRAINED_PATH=$PATH1 is not a file"
+    exit 1
+    fi
 fi
 
 ulimit -u unlimited
@@ -53,5 +57,10 @@ cp -r ../src ./train
 cd ./train || exit
 echo "start training for device $DEVICE_ID"
 env > env.log
-python train.py --do_train=True --device_id=$DEVICE_ID --pre_trained=$PATH1 &> log &
+if [ $# == 1 ]
+then
+    python train.py --do_train=True --device_id=$DEVICE_ID --pre_trained=$PATH1 &> log &
+else
+    python train.py --do_train=True --device_id=$DEVICE_ID &> log &
+fi
 cd ..