fix issue I2NU25 cnnctc word mistakes and issue I2W9WY centerface script not support dataset input

model_zoo/official/cv/centerface/scripts/train_standalone.sh

@@ -34,10 +34,10 @@ get_real_path(){
 }
 
 current_exec_path=$(pwd)
-echo ${current_exec_path}
+echo "current_exec_path: "   ${current_exec_path}
 
 dirname_path=$(dirname "$(pwd)")
-echo ${dirname_path}
+echo "dirname_path: "   ${dirname_path}
 
 SCRIPT_NAME='train.py'
 
@@ -57,49 +57,63 @@ fi
 
 if [ $# == 2 ]
 then
+    use_device_id=$1
     pretrained_backbone=$(get_real_path $2)
+fi
+
+if [ $# == 3 ]
+then
+    use_device_id=$1
+    pretrained_backbone=$(get_real_path $2)
+    dataset_path=$(get_real_path $3)
+fi
+
+if [ $# == 4 ]
+then
+    use_device_id=$1
+    pretrained_backbone=$(get_real_path $2)
+    dataset_path=$(get_real_path $3)
+    annot_path=$(get_real_path $4)
+fi
+
+if [ $# == 5 ]
+then
+    use_device_id=$1
+    pretrained_backbone=$(get_real_path $2)
+    dataset_path=$(get_real_path $3)
+    annot_path=$(get_real_path $4)
+    img_dir=$(get_real_path $5)
+fi
+
+echo "use_device_id: "   $use_device_id
+echo "pretrained_backbone: "   $pretrained_backbone
+echo "dataset_path: "   $dataset_path
+echo "annot_path: "   $annot_path
+echo "img_dir: "   $img_dir
+
 if [ ! -f $pretrained_backbone ]
 then
     echo "error: pretrained_backbone=$pretrained_backbone is not a file"
 exit 1
 fi
-fi
 
-if [ $# == 3 ]
+if [ ! -d $dataset_path ]
 then
-    dataset_path=$(get_real_path $3)
-    if [ ! -f $dataset_path ]
-    then
-        echo "error: dataset_path=$dataset_path is not a file"
+    echo "error: dataset_path=$dataset_path is not a directory"
 exit 1
 fi
-fi
 
-if [ $# == 4 ]
-then
-    annot_path=$(get_real_path $4)
 if [ ! -f $annot_path ]
 then
     echo "error: annot_path=$annot_path is not a file"
 exit 1
 fi
-fi
 
-if [ $# == 5 ]
+if [ ! -d $img_dir ]
 then
-    img_dir=$(get_real_path $5)
-    if [ ! -f $img_dir ]
-    then
-        echo "error: img_dir=$img_dir is not a file"
+    echo "error: img_dir=$img_dir is not a directory"
 exit 1
 fi
-fi
-
-echo $use_device_id
-echo $pretrained_backbone
-echo $dataset_path
-echo $annot_path
-echo $img_dir
 
 export PYTHONPATH=${dirname_path}:$PYTHONPATH
 export RANK_SIZE=1

model_zoo/official/cv/cnnctc/README.md

@@ -216,7 +216,7 @@ Results and checkpoints are written to `./train_parallel_{i}` folder for device
 
 ### Training Result
 
-Training result will be stored in the example path, whose folder name begins with "train" or "train_parallel". You can find checkpoint file together with result like the followings in loss.log.
+Training result will be stored in the example path, whose folder name begins with "train" or "train_parallel". You can find checkpoint file together with result like the following in loss.log.
 
 ```text
 # distribute training result(8p)

model_zoo/official/cv/cnnctc/scripts/run_eval_ascend.sh

@@ -48,7 +48,7 @@ cp ./*.py ./eval
 cp ./scripts/*.sh ./eval
 cp -r ./src ./eval
 cd ./eval || exit
-echo "start infering for device $DEVICE_ID"
+echo "start inferring for device $DEVICE_ID"
 env > env.log
 python eval.py --device_id=$DEVICE_ID --ckpt_path=$PATH1 &> log &
 cd .. || exit