diff --git a/ppcls/data/postprocess/topk.py b/ppcls/data/postprocess/topk.py
index 2b475f83f787036f4fda88c6c98317a357100637..cd45734ef3997a53b228cac73eb62a53ee2ec4ce 100644
--- a/ppcls/data/postprocess/topk.py
+++ b/ppcls/data/postprocess/topk.py
@@ -36,8 +36,12 @@ class Topk(object):
 
         try:
             class_id_map = {}
-            with open(class_id_map_file, "r") as fin:
-                lines = fin.readlines()
+            try:
+                with open(class_id_map_file, "r", encoding='utf-8') as fin:
+                    lines = fin.readlines()
+            except Exception as e:
+                with open(class_id_map_file, "r", encoding='gbk') as fin:
+                    lines = fin.readlines()
                 for line in lines:
                     partition = line.split("\n")[0].partition(self.delimiter)
                     class_id_map[int(partition[0])] = str(partition[-1])
diff --git a/ppcls/data/utils/get_image_list.py b/ppcls/data/utils/get_image_list.py
index 34d12c3c9c351870f1fc6ad1c798bb8e0d894e5f..9b6de0690a576181d1ef53a162d7903a3d04058f 100644
--- a/ppcls/data/utils/get_image_list.py
+++ b/ppcls/data/utils/get_image_list.py
@@ -18,19 +18,28 @@ import base64
 import numpy as np
 
 
-def get_image_list(img_file):
+def get_image_list(img_file, infer_list=None):
     imgs_lists = []
-    if img_file is None or not os.path.exists(img_file):
-        raise Exception("not found any img file in {}".format(img_file))
-
-    img_end = ['jpg', 'png', 'jpeg', 'JPEG', 'JPG', 'bmp']
-    if os.path.isfile(img_file) and img_file.split('.')[-1] in img_end:
-        imgs_lists.append(img_file)
-    elif os.path.isdir(img_file):
-        for root, dirs, files in os.walk(img_file):
-            for single_file in files:
-                if single_file.split('.')[-1] in img_end:
-                    imgs_lists.append(os.path.join(root, single_file))
+    if infer_list and not os.path.exists(infer_list):
+        raise Exception("not found infer list {}".format(infer_list))
+    if infer_list:
+        with open(infer_list, "r") as f:
+            lines = f.readlines()
+        for line in lines:
+            image_path = line.strip(" ").split()[0]
+            image_path = os.path.join(img_file, image_path)
+            imgs_lists.append(image_path)
+    else:
+        if img_file is None or not os.path.exists(img_file):
+            raise Exception("not found any img file in {}".format(img_file))
+        img_end = ['jpg', 'png', 'jpeg', 'JPEG', 'JPG', 'bmp']
+        if os.path.isfile(img_file) and img_file.split('.')[-1] in img_end:
+            imgs_lists.append(img_file)
+        elif os.path.isdir(img_file):
+            for root, dirs, files in os.walk(img_file):
+                for single_file in files:
+                    if single_file.split('.')[-1] in img_end:
+                        imgs_lists.append(os.path.join(root, single_file))
     if len(imgs_lists) == 0:
         raise Exception("not found any img file in {}".format(img_file))
     imgs_lists = sorted(imgs_lists)
diff --git a/ppcls/engine/engine.py b/ppcls/engine/engine.py
old mode 100755
new mode 100644
index 3f93ceb7ababd97781966ceff46b88be62d58e33..851571010237c25ca60c03d6572c1385fd846794
--- a/ppcls/engine/engine.py
+++ b/ppcls/engine/engine.py
@@ -442,7 +442,9 @@ class Engine(object):
         results = []
         total_trainer = dist.get_world_size()
         local_rank = dist.get_rank()
-        image_list = get_image_list(self.config["Infer"]["infer_imgs"])
+        infer_imgs = self.config["Infer"]["infer_imgs"]
+        infer_list = self.config["Infer"].get("infer_list", None)
+        image_list = get_image_list(infer_imgs, infer_list=infer_list)
         # data split
         image_list = image_list[local_rank::total_trainer]
 
@@ -450,6 +452,7 @@ class Engine(object):
         self.model.eval()
         batch_data = []
         image_file_list = []
+        save_path = self.config["Infer"].get("save_dir", None)
         for idx, image_file in enumerate(image_list):
             with open(image_file, 'rb') as f:
                 x = f.read()
@@ -473,11 +476,11 @@ class Engine(object):
                     out = out["output"]
 
                 result = self.postprocess_func(out, image_file_list)
-                logger.info(result)
+                if not save_path:
+                    logger.info(result)
                 results.extend(result)
                 batch_data.clear()
                 image_file_list.clear()
-        save_path = self.config["Infer"].get("save_dir", None)
         if save_path:
             save_predict_result(save_path, results)
         return results
diff --git a/ppcls/utils/save_result.py b/ppcls/utils/save_result.py
index 863113ce876595b856bd85b816dce4b828745cde..f470b801ebb45db997a508bc39b04d5be95487a9 100644
--- a/ppcls/utils/save_result.py
+++ b/ppcls/utils/save_result.py
@@ -24,12 +24,9 @@ def save_predict_result(save_path, result):
     elif os.path.splitext(save_path)[-1] == '.json':
         save_path = save_path
     else:
-        logger.warning(
-            f"{save_path} is invalid input path, only files in json format are supported."
-        )
+        raise Exception(f"{save_path} is invalid input path, only files in json format are supported.")
+
     if os.path.exists(save_path):
-        logger.warning(
-            f"The file {save_path} will be overwritten."
-        )
+        logger.warning(f"The file {save_path} will be overwritten.")
     with open(save_path, 'w', encoding='utf-8') as f:
         json.dump(result, f)