revise readme caused by __new__() takes 1 positional argument but 2 were given

hub_module/modules/image/colorization/deoldify/README.md

@@ -57,7 +57,7 @@ def run_video(self, video):
 ```python
 import paddlehub as hub
 
-model = hub.Module('deoldify')
+model = hub.Module(name='deoldify')
 model.predict('/PATH/TO/IMAGE/OR/VIDEO')
 ```
 

hub_module/modules/image/colorization/photo_restoration/README.md

@@ -38,7 +38,7 @@ def run_image(self,
 import cv2
 import paddlehub as hub
 
-model = hub.Module('photo_restoration', visualization=True)
+model = hub.Module(name='photo_restoration', visualization=True)
 im = cv2.imread('/PATH/TO/IMAGE')
 res = model.run_image(im)
 

hub_module/modules/image/gan/stgan_bald/README.md

@@ -32,7 +32,7 @@
     import paddlehub as hub
     import cv2
     
-    stgan_bald = hub.Module('stgan_bald')
+    stgan_bald = hub.Module(name='stgan_bald')
     im = cv2.imread('/PATH/TO/IMAGE')
     res = stgan_bald.bald(images=[im],visualization=True)
 # 服务部署

hub_module/modules/image/humanseg/humanseg_lite/README.md

@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_lite_model',
 import cv2
 import paddlehub as hub
 
-human_seg = hub.Module('humanseg_lite')
+human_seg = hub.Module(name='humanseg_lite')
 im = cv2.imread('/PATH/TO/IMAGE')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = human_seg.segment(images=[im],visualization=True)

hub_module/modules/image/humanseg/humanseg_mobile/README.md

@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_mobile_model',
 import cv2
 import paddlehub as hub
 
-human_seg = hub.Module('humanseg_mobile')
+human_seg = hub.Module(name='humanseg_mobile')
 im = cv2.imread('/PATH/TO/IMAGE')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = human_seg.segment(images=[im],visualization=True)

hub_module/modules/image/humanseg/humanseg_server/README.md

@@ -108,7 +108,7 @@ def save_inference_model(dirname,
 import cv2
 import paddlehub as hub
 
-human_seg = hub.Module('humanseg_server')
+human_seg = hub.Module(name='humanseg_server')
 im = cv2.imread('/PATH/TO/IMAGE')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = human_seg.segment(images=[im],visualization=True)

hub_module/modules/image/keypoint_detection/hand_pose_localization/README.md

@@ -46,7 +46,7 @@ import cv2
 import paddlehub as hub
 
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('hand_pose_localization', use_gpu=False)
+model = hub.Module(name='hand_pose_localization', use_gpu=False)
 
 # 调用关键点检测API
 result = model.keypoint_detection(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/UGATIT_100w/README.md

@@ -58,7 +58,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('UGATIT_100w', use_gpu=False)
+model = hub.Module(name='UGATIT_100w', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/UGATIT_92w/README.md

@@ -58,7 +58,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('UGATIT_92w', use_gpu=False)
+model = hub.Module(name='UGATIT_92w', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v1_hayao_60/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v1_hayao_60', use_gpu=False)
+model = hub.Module(name='animegan_v1_hayao_60', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_hayao_64/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_hayao_64', use_gpu=False)
+model = hub.Module(name='animegan_v2_hayao_64', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_hayao_99/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_hayao_99', use_gpu=False)
+model = hub.Module(name='animegan_v2_hayao_99', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_paprika_54/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_paprika_54', use_gpu=False)
+model = hub.Module(name='animegan_v2_paprika_54', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_paprika_74/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_paprika_74', use_gpu=False)
+model = hub.Module(name='animegan_v2_paprika_74', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_paprika_97/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_paprika_97', use_gpu=False)
+model = hub.Module(name='animegan_v2_paprika_97', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_paprika_98/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_paprika_98', use_gpu=False)
+model = hub.Module(name='animegan_v2_paprika_98', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_shinkai_33', use_gpu=False)
+model = hub.Module(name='animegan_v2_shinkai_33', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/README.md

@@ -63,7 +63,7 @@ import paddlehub as hub
 
 # 模型加载
 # use_gpu：是否使用GPU进行预测
-model = hub.Module('animegan_v2_shinkai_53', use_gpu=False)
+model = hub.Module(name='animegan_v2_shinkai_53', use_gpu=False)
 
 # 模型预测
 result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])

hub_module/modules/image/super_resolution/dcscn/README.md

@@ -59,7 +59,7 @@ def save_inference_model(self,
 import cv2
 import paddlehub as hub
 
-sr_model = hub.Module('dcscn')
+sr_model = hub.Module(name='dcscn')
 im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = sr_model.reconstruct(images=[im], visualization=True)

hub_module/modules/image/super_resolution/falsr_a/README.md

@@ -59,7 +59,7 @@ def save_inference_model(self,
 import cv2
 import paddlehub as hub
 
-sr_model = hub.Module('falsr_a')
+sr_model = hub.Module(name='falsr_a')
 im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = sr_model.reconstruct(images=[im], visualization=True)

hub_module/modules/image/super_resolution/falsr_b/README.md

@@ -59,7 +59,7 @@ def save_inference_model(self,
 import cv2
 import paddlehub as hub
 
-sr_model = hub.Module('falsr_b')
+sr_model = hub.Module(name='falsr_b')
 im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = sr_model.reconstruct(images=[im], visualization=True)

hub_module/modules/image/super_resolution/falsr_c/README.md

@@ -59,7 +59,7 @@ def save_inference_model(self,
 import cv2
 import paddlehub as hub
 
-sr_model = hub.Module('falsr_c')
+sr_model = hub.Module(name='falsr_c')
 im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
 #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
 res = sr_model.reconstruct(images=[im], visualization=True)

hub_module/modules/image/super_resolution/realsr/README.md

@@ -57,7 +57,7 @@ def run_video(self, video):
 ```python
 import paddlehub as hub
 
-model = hub.Module('realsr')
+model = hub.Module(name='realsr')
 model.predict('/PATH/TO/IMAGE/OR/VIDEO')
 ```