提交 4764c58a 编写于 作者: W wuzewu

Move third-party module

上级 be32aadd
...@@ -33,7 +33,8 @@ class Animegan_V1_Hayao_60(Module): ...@@ -33,7 +33,8 @@ class Animegan_V1_Hayao_60(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Hayao_64(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Hayao_64(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Hayao_99(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Hayao_99(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_54(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_54(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_74(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_74(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_97(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_97(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_98(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Paprika_98(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Shinkai_33(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Shinkai_33(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
...@@ -33,7 +33,8 @@ class Animegan_V2_Shinkai_53(Module): ...@@ -33,7 +33,8 @@ class Animegan_V2_Shinkai_53(Module):
min_size=32, min_size=32,
max_size=1024): max_size=1024):
# 加载数据处理器 # 加载数据处理器
processor = Processor(images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size) processor = Processor(
images=images, paths=paths, batch_size=1, output_dir=output_dir, min_size=min_size, max_size=max_size)
# 模型预测 # 模型预测
outputs = self.model.predict(processor.input_datas) outputs = self.model.predict(processor.input_datas)
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册