TKOSEI commited on
Commit
677200d
·
verified ·
1 Parent(s): ad19aaa

Update app.py

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Files changed (1) hide show
  1. app.py +6 -2
app.py CHANGED
@@ -140,6 +140,7 @@ def extrude_depth_3d(
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  scene_lights=True,
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  prepare_for_3d_printing=False,
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  zip_outputs=False,
 
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  ):
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  f_far_inner = -emboss
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  f_far_outer = f_far_inner - f_back
@@ -177,6 +178,7 @@ def extrude_depth_3d(
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  #depth_image_new[depth_image_new < 0] = 0
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  depth_image = median_filter(depth_image, size=filter_size)
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  depth_image = emboss*(depth_image - np.min(depth_image)) / (np.max(depth_image) - np.min(depth_image))
 
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  Image.fromarray((depth_image * 255).astype(np.uint8)).convert("L").save(path_out_base+".png")
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  rgb_image = np.array(
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  Image.open(path_rgb).convert("RGB").resize((w, h), Image.Resampling.LANCZOS)
@@ -427,7 +429,7 @@ def scale_to_width(img, length):
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  # Gradio Interface function
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- def process_image_and_generate_stl(image_input, depth_near, depth_far, thickness, alpha, backsheet):
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  # Depth Estimation
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  raw_img = cv2.imread(image_input)
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  depth = model.infer_image(raw_img) # HxW raw depth map in numpy
@@ -474,6 +476,7 @@ def process_image_and_generate_stl(image_input, depth_near, depth_far, thickness
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  vertex_colors=True,
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  scene_lights=True,
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  prepare_for_3d_printing=True,
 
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  )
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  return stl_path # Return the path to the generated STL file
@@ -488,7 +491,8 @@ iface = gr.Interface(
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  gr.Slider(minimum=0, maximum=1.0, value=1.0, label="Depth Far"),
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  gr.Slider(minimum=0.1, maximum=1.0, value=0.3, label="Thickness"),
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  gr.Slider(minimum=0, maximum=1.0, value=0.05, label="Alpha"),
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- gr.Slider(minimum=-0.1, maximum=0.1, value=0.01, label="BackSheet Thickness")
 
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  ],
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  outputs=gr.File(label="Download STL File"), # Use gr.File() for file downloads
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  title="Image to 2.5D Relief Model Generator",
 
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  scene_lights=True,
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  prepare_for_3d_printing=False,
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  zip_outputs=False,
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+ lift_height=0.0
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  ):
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  f_far_inner = -emboss
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  f_far_outer = f_far_inner - f_back
 
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  #depth_image_new[depth_image_new < 0] = 0
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  depth_image = median_filter(depth_image, size=filter_size)
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  depth_image = emboss*(depth_image - np.min(depth_image)) / (np.max(depth_image) - np.min(depth_image))
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+ depth_image = np.where(depth_image != 0.0, depth_image + lift_height, 0.0)
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  Image.fromarray((depth_image * 255).astype(np.uint8)).convert("L").save(path_out_base+".png")
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  rgb_image = np.array(
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  Image.open(path_rgb).convert("RGB").resize((w, h), Image.Resampling.LANCZOS)
 
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  # Gradio Interface function
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+ def process_image_and_generate_stl(image_input, depth_near, depth_far, thickness, alpha, backsheet, lift):
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  # Depth Estimation
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  raw_img = cv2.imread(image_input)
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  depth = model.infer_image(raw_img) # HxW raw depth map in numpy
 
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  vertex_colors=True,
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  scene_lights=True,
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  prepare_for_3d_printing=True,
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+ lift_height=lift
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  )
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  return stl_path # Return the path to the generated STL file
 
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  gr.Slider(minimum=0, maximum=1.0, value=1.0, label="Depth Far"),
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  gr.Slider(minimum=0.1, maximum=1.0, value=0.3, label="Thickness"),
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  gr.Slider(minimum=0, maximum=1.0, value=0.05, label="Alpha"),
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+ gr.Slider(minimum=0.01, maximum=0.1, value=0.01, label="BackSheet Thickness")
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+ gr.Slider(minimum=0, maximum=1.0, value=0.0, label="lift"),
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  ],
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  outputs=gr.File(label="Download STL File"), # Use gr.File() for file downloads
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  title="Image to 2.5D Relief Model Generator",