thr3a commited on
Commit
0b464ee
1 Parent(s): bad4452

add: 白背景モード実装

Browse files
Files changed (3) hide show
  1. README.md +1 -1
  2. app.py +14 -13
  3. requirements.txt +5 -4
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 🪄🖼️
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  colorFrom: indigo
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  colorTo: pink
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  sdk: gradio
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- sdk_version: 3.1.4
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
 
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  colorFrom: indigo
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  colorTo: pink
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  sdk: gradio
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+ sdk_version: 3.50.2
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
app.py CHANGED
@@ -4,7 +4,6 @@ import onnxruntime as rt
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  import numpy as np
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  import cv2
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-
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  def get_mask(img, s=1024):
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  img = (img / 255).astype(np.float32)
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  h, w = h0, w0 = img.shape[:-1]
@@ -20,17 +19,18 @@ def get_mask(img, s=1024):
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  mask = cv2.resize(mask, (w0, h0))[:, :, np.newaxis]
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  return mask
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-
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- def rmbg_fn(img):
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  mask = get_mask(img)
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- img = (mask * img + 255 * (1 - mask)).astype(np.uint8)
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- mask = (mask * 255).astype(np.uint8)
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- img = (mask * img + (1 - mask) * 255).astype(np.uint8)
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- # img = np.concatenate([img, mask], axis=2, dtype=np.uint8)
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- mask = (mask * 255).astype(np.uint8)
 
 
 
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  mask = mask.repeat(3, axis=2)
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- return mask, img
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-
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  if __name__ == "__main__":
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  providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
@@ -44,11 +44,12 @@ if __name__ == "__main__":
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  with gr.Row():
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  with gr.Column():
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  input_img = gr.Image(label="input image")
 
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  examples_data = [[f"examples/{x:02d}.jpg"] for x in range(1, 4)]
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  examples = gr.Dataset(components=[input_img], samples=examples_data)
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- run_btn = gr.Button(variant="primary")
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  output_mask = gr.Image(label="mask")
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  output_img = gr.Image(label="result", image_mode="RGBA")
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  examples.click(lambda x: x[0], [examples], [input_img])
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- run_btn.click(rmbg_fn, [input_img], [output_mask, output_img])
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- app.launch()
 
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  import numpy as np
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  import cv2
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  def get_mask(img, s=1024):
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  img = (img / 255).astype(np.float32)
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  h, w = h0, w0 = img.shape[:-1]
 
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  mask = cv2.resize(mask, (w0, h0))[:, :, np.newaxis]
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  return mask
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+ def rmbg_fn(img, bg_color):
 
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  mask = get_mask(img)
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+ if bg_color == "透過":
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+ img_with_bg = (mask * img + 255 * (1 - mask)).astype(np.uint8)
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+ mask = (mask * 255).astype(np.uint8)
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+ img_with_bg = np.concatenate([img_with_bg, mask], axis=2, dtype=np.uint8)
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+ else: # 白色背景
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+ foreground = mask * img
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+ background = 255 * (1 - mask) # 白背景
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+ img_with_bg = (foreground + background).astype(np.uint8)
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  mask = mask.repeat(3, axis=2)
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+ return mask, img_with_bg
 
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  if __name__ == "__main__":
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  providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
 
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  with gr.Row():
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  with gr.Column():
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  input_img = gr.Image(label="input image")
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+ bg_color = gr.Radio(choices=["透過", "白色"], value="透過", label="背景色")
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  examples_data = [[f"examples/{x:02d}.jpg"] for x in range(1, 4)]
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  examples = gr.Dataset(components=[input_img], samples=examples_data)
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+ run_btn = gr.Button(variant="primary")
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  output_mask = gr.Image(label="mask")
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  output_img = gr.Image(label="result", image_mode="RGBA")
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  examples.click(lambda x: x[0], [examples], [input_img])
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+ run_btn.click(rmbg_fn, [input_img, bg_color], [output_mask, output_img])
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+ app.launch(server_name='0.0.0.0')
requirements.txt CHANGED
@@ -1,4 +1,5 @@
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- onnx
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- onnxruntime-gpu
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- opencv-python
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- numpy
 
 
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+ onnx==1.15.0
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+ onnxruntime-gpu==1.17.1
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+ opencv-python-headless==4.9.0.80
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+ numpy==1.26.3
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+