diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile/module.py b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile/module.py
index 77d05bc336b7b421b6a3fa9c8343a71c68ed157e..8d0294a55eb59f83011b90dce8e4b8369dc1e066 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile/module.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile/module.py
@@ -28,6 +28,7 @@ class PyramidBoxLiteMobile(hub.Module):
         self.default_pretrained_model_path = os.path.join(
             self.directory, "pyramidbox_lite_mobile_face_detection")
         self._set_config()
+        self.processor = self
 
     def _set_config(self):
         """
@@ -130,6 +131,9 @@ class PyramidBoxLiteMobile(hub.Module):
         program, feeded_var_names, target_vars = fluid.io.load_inference_model(
             dirname=self.default_pretrained_model_path, executor=exe)
 
+        var = program.global_block().vars['detection_output_0.tmp_1']
+        var.desc.set_dtype(fluid.core.VarDesc.VarType.INT32)
+
         fluid.io.save_inference_model(
             dirname=dirname,
             main_program=program,
diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/module.py b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/module.py
index 91b1adfada5e331abbdd22be83f0f3043fd50eae..e98c9944ff76c8baa97988580fd994c5431048d7 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/module.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/module.py
@@ -37,6 +37,7 @@ class PyramidBoxLiteMobileMask(hub.Module):
         else:
             self.face_detector = face_detector_module
         self._set_config()
+        self.processor = self
 
     def _set_config(self):
         """
diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/processor.py b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/processor.py
index 3e3bf1515143cfbcd1dccda71b03cd3b0cf1e77b..61c7be6addd3c1791d1c8e46d0bcd58dcf93e8c9 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/processor.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_mobile_mask/processor.py
@@ -94,12 +94,12 @@ def draw_bounding_box_on_image(save_im_path, output_data):
             box_fill = (255)
             text_fill = (0)
 
-            draw.rectangle(
-                xy=(bbox['left'], bbox['top'] - (textsize_height + 5),
-                    bbox['left'] + textsize_width + 10, bbox['top'] - 3),
-                fill=box_fill)
-            draw.text(
-                xy=(bbox['left'], bbox['top'] - 15), text=text, fill=text_fill)
+        draw.rectangle(
+            xy=(bbox['left'], bbox['top'] - (textsize_height + 5),
+                bbox['left'] + textsize_width + 10, bbox['top'] - 3),
+            fill=box_fill)
+        draw.text(
+            xy=(bbox['left'], bbox['top'] - 15), text=text, fill=text_fill)
     image.save(save_im_path)
 
 
diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_server/module.py b/hub_module/modules/image/face_detection/pyramidbox_lite_server/module.py
index 739739b74c238ebe531cbfc3cf984da2af2024ea..5e7be439d8c6a22a43fa020982e7bc1709639499 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_server/module.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_server/module.py
@@ -28,6 +28,7 @@ class PyramidBoxLiteServer(hub.Module):
         self.default_pretrained_model_path = os.path.join(
             self.directory, "pyramidbox_lite_server_face_detection")
         self._set_config()
+        self.processor = self
 
     def _set_config(self):
         """
diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/module.py b/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/module.py
index 59270c64ebb003c6a4f277b1c86abef713e90168..06cc0f3cee0101b6806f6dfa4545cbe3a8babddc 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/module.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/module.py
@@ -37,6 +37,7 @@ class PyramidBoxLiteServerMask(hub.Module):
         else:
             self.face_detector = face_detector_module
         self._set_config()
+        self.processor = self
 
     def _set_config(self):
         """
diff --git a/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/processor.py b/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/processor.py
index 3e3bf1515143cfbcd1dccda71b03cd3b0cf1e77b..61c7be6addd3c1791d1c8e46d0bcd58dcf93e8c9 100644
--- a/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/processor.py
+++ b/hub_module/modules/image/face_detection/pyramidbox_lite_server_mask/processor.py
@@ -94,12 +94,12 @@ def draw_bounding_box_on_image(save_im_path, output_data):
             box_fill = (255)
             text_fill = (0)
 
-            draw.rectangle(
-                xy=(bbox['left'], bbox['top'] - (textsize_height + 5),
-                    bbox['left'] + textsize_width + 10, bbox['top'] - 3),
-                fill=box_fill)
-            draw.text(
-                xy=(bbox['left'], bbox['top'] - 15), text=text, fill=text_fill)
+        draw.rectangle(
+            xy=(bbox['left'], bbox['top'] - (textsize_height + 5),
+                bbox['left'] + textsize_width + 10, bbox['top'] - 3),
+            fill=box_fill)
+        draw.text(
+            xy=(bbox['left'], bbox['top'] - 15), text=text, fill=text_fill)
     image.save(save_im_path)
 
 
diff --git a/hub_module/modules/image/object_detection/ssd_mobilenet_v1_pascal/module.py b/hub_module/modules/image/object_detection/ssd_mobilenet_v1_pascal/module.py
index a433d7790ff30c50fd2b7819949f0f889c7162ac..8ee1e7edf1ced1b0e1d616e780d91a7f4e53cb20 100644
--- a/hub_module/modules/image/object_detection/ssd_mobilenet_v1_pascal/module.py
+++ b/hub_module/modules/image/object_detection/ssd_mobilenet_v1_pascal/module.py
@@ -21,7 +21,7 @@ from ssd_mobilenet_v1_pascal.data_feed import reader
 
 @moduleinfo(
     name="ssd_mobilenet_v1_pascal",
-    version="1.1.0",
+    version="1.1.1",
     type="cv/object_detection",
     summary="SSD with backbone MobileNet_V1, trained with dataset Pasecal VOC.",
     author="paddlepaddle",
@@ -275,7 +275,7 @@ class SSDMobileNetv1(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/ssd_vgg16_300_coco2017/module.py b/hub_module/modules/image/object_detection/ssd_vgg16_300_coco2017/module.py
index 6027bcd0d22659a47597ef2fe6615e79751adce2..7310bf04d9e208e36e4d72a25ccc93b8a001012f 100644
--- a/hub_module/modules/image/object_detection/ssd_vgg16_300_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/ssd_vgg16_300_coco2017/module.py
@@ -21,7 +21,7 @@ from ssd_vgg16_300_coco2017.data_feed import reader
 
 @moduleinfo(
     name="ssd_vgg16_300_coco2017",
-    version="1.0.0",
+    version="1.0.1",
     type="cv/object_detection",
     summary="SSD with backbone VGG16, trained with dataset COCO.",
     author="paddlepaddle",
@@ -264,7 +264,7 @@ class SSDVGG16(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/ssd_vgg16_512_coco2017/module.py b/hub_module/modules/image/object_detection/ssd_vgg16_512_coco2017/module.py
index bdf252ad1001faddf51d92d7c57305b4d6441b8a..e7246367c5e9e895e8d840f37bb66ce8e0ad2b17 100644
--- a/hub_module/modules/image/object_detection/ssd_vgg16_512_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/ssd_vgg16_512_coco2017/module.py
@@ -21,7 +21,7 @@ from ssd_vgg16_512_coco2017.data_feed import reader
 
 @moduleinfo(
     name="ssd_vgg16_512_coco2017",
-    version="1.0.0",
+    version="1.0.1",
     type="cv/object_detection",
     summary="SSD with backbone VGG16, trained with dataset COCO.",
     author="paddlepaddle",
@@ -278,7 +278,7 @@ class SSDVGG16_512(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_darknet53_coco2017/module.py b/hub_module/modules/image/object_detection/yolov3_darknet53_coco2017/module.py
index f3ebbda18e5c3aee46027564c902d8e825b38481..1b693fb27c695e14030e81c3f3e623f7d04a0651 100644
--- a/hub_module/modules/image/object_detection/yolov3_darknet53_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_darknet53_coco2017/module.py
@@ -21,7 +21,7 @@ from yolov3_darknet53_coco2017.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_darknet53_coco2017",
-    version="1.1.0",
+    version="1.1.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for object detection, with backbone DarkNet53, trained with dataset coco2017.",
@@ -270,7 +270,7 @@ class YOLOv3DarkNet53Coco2017(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_darknet53_pedestrian/module.py b/hub_module/modules/image/object_detection/yolov3_darknet53_pedestrian/module.py
index 1258b7572ec743cb0a4355e34ca7953c6eb8f435..7630d372801bb633d765ba966bb2eaa458df58e0 100644
--- a/hub_module/modules/image/object_detection/yolov3_darknet53_pedestrian/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_darknet53_pedestrian/module.py
@@ -21,7 +21,7 @@ from yolov3_darknet53_pedestrian.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_darknet53_pedestrian",
-    version="1.0.0",
+    version="1.0.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for pedestrian detection, with backbone DarkNet53.",
@@ -280,7 +280,7 @@ class YOLOv3DarkNet53Pedestrian(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_darknet53_vehicles/module.py b/hub_module/modules/image/object_detection/yolov3_darknet53_vehicles/module.py
index e1a064cdf3bf7ea4e339212823cd0ab23c698d23..801228f6b576b34bfcf8de04d0f56f956d17c709 100644
--- a/hub_module/modules/image/object_detection/yolov3_darknet53_vehicles/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_darknet53_vehicles/module.py
@@ -21,7 +21,7 @@ from yolov3_darknet53_vehicles.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_darknet53_vehicles",
-    version="1.0.0",
+    version="1.0.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for vehicles detection, with backbone DarkNet53.",
@@ -280,7 +280,7 @@ class YOLOv3DarkNet53Vehicles(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_mobilenet_v1_coco2017/module.py b/hub_module/modules/image/object_detection/yolov3_mobilenet_v1_coco2017/module.py
index 674e6aa5d6d24eeecc43f10b949faef3067e99a1..659cde37ca481f524ebd33daedc80eb3adc24b3a 100644
--- a/hub_module/modules/image/object_detection/yolov3_mobilenet_v1_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_mobilenet_v1_coco2017/module.py
@@ -21,7 +21,7 @@ from yolov3_mobilenet_v1_coco2017.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_mobilenet_v1_coco2017",
-    version="1.0.0",
+    version="1.0.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for object detection with backbone MobileNet_V1, trained with dataset COCO2017.",
@@ -270,7 +270,7 @@ class YOLOv3MobileNetV1Coco2017(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_resnet34_coco2017/module.py b/hub_module/modules/image/object_detection/yolov3_resnet34_coco2017/module.py
index 54f4f427956e77c551abc12247b55685e1c1cc59..14e31fdd667d3fc9eaa78f185d0c57984fb7ebe0 100644
--- a/hub_module/modules/image/object_detection/yolov3_resnet34_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_resnet34_coco2017/module.py
@@ -21,7 +21,7 @@ from yolov3_resnet34_coco2017.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_resnet34_coco2017",
-    version="1.0.0",
+    version="1.0.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for object detection with backbone ResNet34, trained with dataset coco2017.",
@@ -272,7 +272,7 @@ class YOLOv3ResNet34Coco2017(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,
diff --git a/hub_module/modules/image/object_detection/yolov3_resnet50_vd_coco2017/module.py b/hub_module/modules/image/object_detection/yolov3_resnet50_vd_coco2017/module.py
index 2e65abfe863e60d65d7f57664c3f2c201ab2a968..5c25f17cd37df1a7e67dba76ade582ddbc0b89e5 100644
--- a/hub_module/modules/image/object_detection/yolov3_resnet50_vd_coco2017/module.py
+++ b/hub_module/modules/image/object_detection/yolov3_resnet50_vd_coco2017/module.py
@@ -21,7 +21,7 @@ from yolov3_resnet50_vd_coco2017.yolo_head import MultiClassNMS, YOLOv3Head
 
 @moduleinfo(
     name="yolov3_resnet50_vd_coco2017",
-    version="1.0.0",
+    version="1.0.1",
     type="CV/object_detection",
     summary=
     "Baidu's YOLOv3 model for object detection with backbone ResNet50, trained with dataset coco2017.",
@@ -274,7 +274,7 @@ class YOLOv3ResNet50Coco2017(hub.Module):
         self.add_module_config_arg()
         self.add_module_input_arg()
         args = self.parser.parse_args(argvs)
-        results = self.face_detection(
+        results = self.object_detection(
             paths=[args.input_path],
             batch_size=args.batch_size,
             use_gpu=args.use_gpu,