Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -49,18 +49,14 @@ def load_mask_ui(input_folder="example_tmp",load_edit = False):
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return mask_np_list, mask_label_list
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def load_image_ui(load_edit, input_folder="example_tmp"):
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return image, segmentation, mask_np_list, mask_label_list, image, sliderup, sliderup
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#except:
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# print("Image folder invalid: The folder should contain image.png")
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# return None, None, None, None, None, None
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def run_segmentation_wrapper(image):
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@@ -157,15 +153,6 @@ def save_as_edit_mask(mask_np_list_updated, mask_label_list, input_folder="examp
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visualize_mask_list_clean(mask_np_list_updated, savepath)
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def image_change():
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directory_path = "./example_tmp/"
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for filename in os.listdir(directory_path):
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file_path = os.path.join(directory_path, filename)
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if os.path.isfile(file_path) or os.path.islink(file_path):
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os.unlink(file_path)
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elif os.path.isdir(file_path):
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shutil.rmtree(file_path)
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return gr.Button("1.2 Load original masks",visible = False)
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def button_clickable(is_clickable):
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return gr.Button(interactive=is_clickable)
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@@ -181,9 +168,16 @@ if os.path.isdir("./example_tmp"):
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shutil.rmtree("./example_tmp")
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from segment import run_segmentation
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with gr.Blocks() as demo:
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image = gr.State() # store mask
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image_loaded = gr.State()
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segmentation = gr.State()
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@@ -202,8 +196,8 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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canvas = gr.Image(value = "./img.png", type="numpy", label="Draw Mask", show_label=True, height=LENGTH, width=LENGTH, interactive=True)
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segment_button = gr.Button("
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@@ -212,7 +206,6 @@ with gr.Blocks() as demo:
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# mask_np_list_updated.value = copy.deepcopy(mask_np_list.value) #!!
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mask_np_list_updated = mask_np_list
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with gr.Column():
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result_info0 = gr.Text(label="Response")
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Edit Mask (Optional)</p>""")
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slider = gr.Slider(0, 20, step=1, label = 'mask id', interactive=False)
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label = gr.Text(label='label')
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@@ -229,7 +222,7 @@ with gr.Blocks() as demo:
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with gr.Tab(label="2 Optimization"):
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with gr.Row():
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with gr.Column():
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result_info = gr.Text(label="Response")
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opt_flag = gr.State(0)
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Optimization settings (SD)</p>""")
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@@ -274,13 +267,13 @@ with gr.Blocks() as demo:
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)
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run_optimization()
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print('finish')
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return "Optimization finished!"
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except:
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return "CUDA out of memory, use a smaller batch size or try another picture."
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def immediate_update():
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return gr.Button("Run Optimization (Check
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add_button.click(run_optimization_wrapper,
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inputs = [
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@@ -300,7 +293,7 @@ with gr.Blocks() as demo:
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add_button.click(fn=immediate_update, inputs=[], outputs=[add_button])
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#add_button.update()
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def change_text():
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return gr.Textbox("Optimization Finished!", interactive = False)
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with gr.Tab(label="3 Editing"):
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@@ -322,7 +315,7 @@ with gr.Blocks() as demo:
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edge_thickness = gr.Number(value="10", label="Editing: Edge thickness", interactive= True )
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strength = gr.Textbox(value="0.5", label="Editing: Mask strength", interactive= True )
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add_button = gr.Button("Run Editing (Check
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def run_edit_text_wrapper(
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mask_np_list,
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mask_label_list,
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return mask_np_list, mask_label_list
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def load_image_ui(load_edit, input_folder="example_tmp"):
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image, mask_np_list, mask_label_list = load_mask_ui(input_folder, load_edit = load_edit)
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#image = image.convert('RGB')
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segmentation = create_segmentation(mask_np_list)
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max_val = len(mask_np_list)-1
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sliderup = gr.Slider(value = 0, minimum=0, maximum=max_val, step=1, interactive=True)
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return image, segmentation, mask_np_list, mask_label_list, image, sliderup, sliderup
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def run_segmentation_wrapper(image):
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visualize_mask_list_clean(mask_np_list_updated, savepath)
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def button_clickable(is_clickable):
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return gr.Button(interactive=is_clickable)
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shutil.rmtree("./example_tmp")
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css = """
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#response {
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font-size: 25px !important;
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}
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"""
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from segment import run_segmentation
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with gr.Blocks(css=css) as demo:
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image = gr.State() # store mask
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image_loaded = gr.State()
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segmentation = gr.State()
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with gr.Row():
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with gr.Column():
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canvas = gr.Image(value = "./img.png", type="numpy", label="Draw Mask", show_label=True, height=LENGTH, width=LENGTH, interactive=True)
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result_info0 = gr.Text(label="Response", elem_id="response")
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segment_button = gr.Button("Run segmentation")
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# mask_np_list_updated.value = copy.deepcopy(mask_np_list.value) #!!
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mask_np_list_updated = mask_np_list
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with gr.Column():
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Edit Mask (Optional)</p>""")
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slider = gr.Slider(0, 20, step=1, label = 'mask id', interactive=False)
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label = gr.Text(label='label')
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with gr.Tab(label="2 Optimization"):
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with gr.Row():
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with gr.Column():
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result_info = gr.Text(label="Response", elem_id="response")
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opt_flag = gr.State(0)
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Optimization settings (SD)</p>""")
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)
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run_optimization()
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print('finish')
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return "Optimization finished! Move to the next step."
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except:
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return "CUDA out of memory, use a smaller batch size or try another picture."
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def immediate_update():
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return gr.Button("Run Optimization (Check log for progress.).", interactive=True)
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add_button.click(run_optimization_wrapper,
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inputs = [
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add_button.click(fn=immediate_update, inputs=[], outputs=[add_button])
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#add_button.update()
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def change_text():
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return gr.Textbox("Optimization Finished! Move to the next step.", interactive = False)
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with gr.Tab(label="3 Editing"):
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edge_thickness = gr.Number(value="10", label="Editing: Edge thickness", interactive= True )
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strength = gr.Textbox(value="0.5", label="Editing: Mask strength", interactive= True )
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add_button = gr.Button("Run Editing (Check log for progress.)")
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def run_edit_text_wrapper(
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mask_np_list,
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mask_label_list,
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