ledetele commited on
Commit
6feab7c
·
1 Parent(s): 48b064a

Rename pages/04_Super_Resolution.py to pages/04_图像放大.py

Browse files
pages/{04_Super_Resolution.py → 04_图像放大.py} RENAMED
@@ -196,17 +196,17 @@ def save_image(image_file):
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  #------------
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- st.title("Super Resolution")
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  # Saving uploaded image in input folder for processing
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  #with st.expander("Options/Parameters"):
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  input_img = st.file_uploader(
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- "Upload Image", type=['png', 'jpeg', 'jpg', 'webp'])
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  #save_image(input_img)
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  model_name = st.selectbox(
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- "Real-ESRGAN inference model to be used",
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  ["RealESRGAN_x4plus", "RealESRNet_x4plus", "RealESRGAN_x4plus_anime_6B", "RealESRGAN_x2plus", "realesr-general-x4v3"],
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  index=4
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  )
@@ -214,9 +214,9 @@ model_name = st.selectbox(
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  #denoise_strength = st.slider("Denoise Strength (Used only with the realesr-general-x4v3 model)", 0.0, 1.0, 0.5)
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  denoise_strength = 0.5
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- outscale = st.slider("Image Upscaling Factor", 1, 10, 2)
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- face_enhance = st.checkbox("Face Enhancement using GFPGAN (Doesn't work for anime images)")
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  if input_img:
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  print(input_img)
@@ -237,17 +237,17 @@ input_img = input_img
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  output_img = st.empty()
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  # Buttons
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- restore = st.button('Restore')
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- reset = st.button('Reset')
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  # Restore clicked
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  if restore:
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  if input_img is not None:
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  output = realesrgan(input_img, model_name, denoise_strength,
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  face_enhance, outscale)
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- output_img.image(output, 'Restored Image')
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  else:
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- st.warning('Upload a file', icon="⚠️")
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  # Reset clicked
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  if reset:
 
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  #------------
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+ st.title("图像放大")
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  # Saving uploaded image in input folder for processing
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  #with st.expander("Options/Parameters"):
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  input_img = st.file_uploader(
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+ "上传图片", type=['png', 'jpeg', 'jpg', 'webp'])
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  #save_image(input_img)
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  model_name = st.selectbox(
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+ "要使用的 Real-ESRGAN 推理模型",
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  ["RealESRGAN_x4plus", "RealESRNet_x4plus", "RealESRGAN_x4plus_anime_6B", "RealESRGAN_x2plus", "realesr-general-x4v3"],
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  index=4
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  )
 
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  #denoise_strength = st.slider("Denoise Strength (Used only with the realesr-general-x4v3 model)", 0.0, 1.0, 0.5)
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  denoise_strength = 0.5
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+ outscale = st.slider("图像放大系数", 1, 10, 2)
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+ face_enhance = st.checkbox("使用 GFPGAN 进行面部增强(不适用于动漫图像)")
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  if input_img:
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  print(input_img)
 
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  output_img = st.empty()
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  # Buttons
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+ restore = st.button('开始')
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+ reset = st.button('重置')
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  # Restore clicked
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  if restore:
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  if input_img is not None:
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  output = realesrgan(input_img, model_name, denoise_strength,
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  face_enhance, outscale)
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+ output_img.image(output, '恢复图像')
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  else:
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+ st.warning('请上传文件', icon="⚠️")
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  # Reset clicked
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  if reset: