未验证 提交 93cfcb6a 编写于 作者: H haoyuying 提交者: GitHub

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

上级 c2740baf
...@@ -57,7 +57,7 @@ def run_video(self, video): ...@@ -57,7 +57,7 @@ def run_video(self, video):
```python ```python
import paddlehub as hub import paddlehub as hub
model = hub.Module('deoldify') model = hub.Module(name='deoldify')
model.predict('/PATH/TO/IMAGE/OR/VIDEO') model.predict('/PATH/TO/IMAGE/OR/VIDEO')
``` ```
......
...@@ -38,7 +38,7 @@ def run_image(self, ...@@ -38,7 +38,7 @@ def run_image(self,
import cv2 import cv2
import paddlehub as hub 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') im = cv2.imread('/PATH/TO/IMAGE')
res = model.run_image(im) res = model.run_image(im)
......
...@@ -32,7 +32,7 @@ ...@@ -32,7 +32,7 @@
import paddlehub as hub import paddlehub as hub
import cv2 import cv2
stgan_bald = hub.Module('stgan_bald') stgan_bald = hub.Module(name='stgan_bald')
im = cv2.imread('/PATH/TO/IMAGE') im = cv2.imread('/PATH/TO/IMAGE')
res = stgan_bald.bald(images=[im],visualization=True) res = stgan_bald.bald(images=[im],visualization=True)
# 服务部署 # 服务部署
......
...@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_lite_model', ...@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_lite_model',
import cv2 import cv2
import paddlehub as hub import paddlehub as hub
human_seg = hub.Module('humanseg_lite') human_seg = hub.Module(name='humanseg_lite')
im = cv2.imread('/PATH/TO/IMAGE') 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。 #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) res = human_seg.segment(images=[im],visualization=True)
......
...@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_mobile_model', ...@@ -105,7 +105,7 @@ def save_inference_model(dirname='humanseg_mobile_model',
import cv2 import cv2
import paddlehub as hub import paddlehub as hub
human_seg = hub.Module('humanseg_mobile') human_seg = hub.Module(name='humanseg_mobile')
im = cv2.imread('/PATH/TO/IMAGE') 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。 #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) res = human_seg.segment(images=[im],visualization=True)
......
...@@ -108,7 +108,7 @@ def save_inference_model(dirname, ...@@ -108,7 +108,7 @@ def save_inference_model(dirname,
import cv2 import cv2
import paddlehub as hub import paddlehub as hub
human_seg = hub.Module('humanseg_server') human_seg = hub.Module(name='humanseg_server')
im = cv2.imread('/PATH/TO/IMAGE') 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。 #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) res = human_seg.segment(images=[im],visualization=True)
......
...@@ -46,7 +46,7 @@ import cv2 ...@@ -46,7 +46,7 @@ import cv2
import paddlehub as hub import paddlehub as hub
# use_gpu:是否使用GPU进行预测 # 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 # 调用关键点检测API
result = model.keypoint_detection(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.keypoint_detection(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -58,7 +58,7 @@ import paddlehub as hub ...@@ -58,7 +58,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -58,7 +58,7 @@ import paddlehub as hub ...@@ -58,7 +58,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -63,7 +63,7 @@ import paddlehub as hub ...@@ -63,7 +63,7 @@ import paddlehub as hub
# 模型加载 # 模型加载
# use_gpu:是否使用GPU进行预测 # 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 # 模型预测
result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')]) result = model.style_transfer(images=[cv2.imread('/PATH/TO/IMAGE')])
......
...@@ -59,7 +59,7 @@ def save_inference_model(self, ...@@ -59,7 +59,7 @@ def save_inference_model(self,
import cv2 import cv2
import paddlehub as hub import paddlehub as hub
sr_model = hub.Module('dcscn') sr_model = hub.Module(name='dcscn')
im = cv2.imread('/PATH/TO/IMAGE').astype('float32') 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。 #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) res = sr_model.reconstruct(images=[im], visualization=True)
......
...@@ -59,7 +59,7 @@ def save_inference_model(self, ...@@ -59,7 +59,7 @@ def save_inference_model(self,
import cv2 import cv2
import paddlehub as hub 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') 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。 #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) res = sr_model.reconstruct(images=[im], visualization=True)
......
...@@ -59,7 +59,7 @@ def save_inference_model(self, ...@@ -59,7 +59,7 @@ def save_inference_model(self,
import cv2 import cv2
import paddlehub as hub 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') 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。 #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) res = sr_model.reconstruct(images=[im], visualization=True)
......
...@@ -59,7 +59,7 @@ def save_inference_model(self, ...@@ -59,7 +59,7 @@ def save_inference_model(self,
import cv2 import cv2
import paddlehub as hub 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') 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。 #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) res = sr_model.reconstruct(images=[im], visualization=True)
......
...@@ -57,7 +57,7 @@ def run_video(self, video): ...@@ -57,7 +57,7 @@ def run_video(self, video):
```python ```python
import paddlehub as hub import paddlehub as hub
model = hub.Module('realsr') model = hub.Module(name='realsr')
model.predict('/PATH/TO/IMAGE/OR/VIDEO') model.predict('/PATH/TO/IMAGE/OR/VIDEO')
``` ```
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