Spaces:
Running
Running
Minimal code implementation
Browse files- README.md +5 -4
- app.py +78 -123
- notes.txt +3 -0
- old_app.py +132 -0
- requirements.txt +2 -7
README.md
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---
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title: Rembg
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emoji:
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colorFrom:
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colorTo: yellow
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sdk: gradio
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sdk_version: 5.1
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Rembg
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emoji: π
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colorFrom: yellow
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colorTo: yellow
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sdk: gradio
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sdk_version: 5.46.1
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app_file: app.py
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pinned: false
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license: mit
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short_description: 'Remove images background tool'
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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from rembg import new_session
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"U2NET": "u2net",
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"U2NET Human Seg": "u2net_human_seg",
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"U2NET Cloth Seg": "u2net_cloth_seg"
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}
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return
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def change_background_threshold(bg_value, value):
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fg, bg, erode = value
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return fg, bg_value, erode
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def change_erode_size(erode_value, value):
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fg, bg, erode = value
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return fg, bg, erode_value
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def set_dominant_color(chk_state):
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return chk_state, gr.ColorPicker(visible=not chk_state)
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def change_picker_color(picker, dominant):
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if not dominant:
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return picker
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return dominant
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def change_background_mode(chk_state):
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return gr.ColorPicker(visible=chk_state), \
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gr.Checkbox(value=False, visible=chk_state)
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footer = r"""
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<center>
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<b>
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Demo based on <a href='https://github.com/danielgatis/rembg'>Rembg</a>
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</b>
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</center>
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"""
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with gr.Blocks(title="Remove background") as app:
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color_state = gr.State(value=False)
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matting_state = gr.State(value=(0, 0, 0))
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gr.HTML("<center><h1>Remove Background Tool</h1></center>")
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with gr.Row(equal_height=False):
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with gr.Column():
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input_img = gr.Image(type="pil", label="Input image")
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drp_models = gr.Dropdown(choices=model_choices, label="Model Segment", value="U2NET")
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with gr.Row():
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slr_fg_threshold = gr.Slider(0, 300, value=270, step=1, label="Alpha matting foreground threshold")
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slr_bg_threshold = gr.Slider(0, 50, value=20, step=1, label="Alpha matting background threshold")
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slr_erode_size = gr.Slider(0, 20, value=11, step=1, label="Alpha matting erode size")
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with gr.Group():
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with gr.Row():
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chk_change_color = gr.Checkbox(label="Change background color", value=False)
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pkr_color = gr.ColorPicker(label="Pick a new color", visible=False)
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chk_dominant = gr.Checkbox(label="Use dominant color", value=False, visible=False)
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run_btn = gr.Button(value="Remove background", variant="primary")
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with gr.Column():
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output_img = gr.Image(type="pil", label="Image Result")
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mask_img = gr.Image(type="pil", label="Image Mask", visible=False)
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gr.ClearButton(components=[input_img, output_img, mask_img])
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chk_include_matting.change(change_include_matting, inputs=[chk_include_matting],
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outputs=[slider_matting, matting_state,
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slr_fg_threshold, slr_bg_threshold, slr_erode_size])
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outputs=[matting_state])
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slr_bg_threshold.change(change_background_threshold, inputs=[slr_bg_threshold, matting_state],
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outputs=[matting_state])
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slr_erode_size.change(change_erode_size, inputs=[slr_erode_size, matting_state],
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outputs=[matting_state])
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chk_show_mask.change(change_show_mask, inputs=[chk_show_mask], outputs=[mask_img])
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chk_change_color.change(change_background_mode, inputs=[chk_change_color],
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outputs=[pkr_color, chk_dominant])
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pkr_color.change(change_picker_color, inputs=[pkr_color, chk_dominant], outputs=[color_state])
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chk_dominant.change(set_dominant_color, inputs=[chk_dominant], outputs=[color_state, pkr_color])
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run_btn.click(predict, inputs=[input_img, drp_models, chk_smoot_mask, matting_state, color_state],
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outputs=[output_img, mask_img])
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with gr.Row():
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gr.HTML(footer)
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app.
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app.
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#######################################################################################
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#
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# MIT License
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#
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# Copyright (c) [2025] [[email protected]]
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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#
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#######################################################################################
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# Implements an API endpoint for background image removal.
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#
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# This project is one of several repositories exploring image segmentation techniques.
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# All related projects and interactive demos can be found at:
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# https://huggingface.co/spaces/leonelhs/removators
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# Self app: https://huggingface.co/spaces/leonelhs/rembg
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#
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# Source code is based on or inspired by several projects.
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# For more details and proper attribution, please refer to the following resources:
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#
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# - [Rembg] - [https://github.com/danielgatis/rembg]
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# - [huggingface] [https://huggingface.co/spaces/KenjieDec/RemBG]
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#
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import gradio as gr
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import numpy as np
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from PIL import Image
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from rembg import new_session
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from rembg.bg import post_process
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MODELS = {
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"General segmentation": "u2net",
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"Human segmentation": "u2net_human_seg",
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"Cloth segmentation": "u2net_cloth_seg"
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}
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def predict(image, session="u2net"):
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"""
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Remove the background from an image.
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The function extracts the foreground and generates both a background-removed
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image and a binary mask.
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Parameters:
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image (pil): File path to the input image.
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session (string): Model for generate cutting mask.
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Returns:
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paths (tuple): paths for background-removed image and cutting mask.
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"""
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session = new_session(session)
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mask = session.predict(image)[0]
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smoot_mask = Image.fromarray(post_process(np.array(mask)))
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image.putalpha(smoot_mask)
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return image, smoot_mask
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with gr.Blocks(title="Rembg") as app:
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gr.Markdown("## Remove Background Tool")
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with gr.Row():
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with gr.Column(scale=1):
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inp = gr.Image(type="pil", label="Upload Image")
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sess = gr.Dropdown(choices=list(MODELS.items()), label="Model Segment", value="u2net")
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btn_predict = gr.Button("Remove background")
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with gr.Column(scale=2):
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with gr.Row():
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with gr.Column(scale=1):
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out = gr.Image(type="pil", label="Output image")
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with gr.Accordion("See intermediates", open=False):
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out_mask = gr.Image(type="pil", label="Mask")
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btn_predict.click(predict, inputs=[inp, sess], outputs=[out, out_mask])
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app.launch(share=False, debug=True, show_error=True, mcp_server=True, pwa=True)
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app.queue()
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notes.txt
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https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net.onnx
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https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_human_seg.onnx
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https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_cloth_seg.onnx
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old_app.py
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import logging
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import gradio as gr
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from rembg import new_session
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from cutter import remove, make_label
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from utils import *
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remove_bg_models = {
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"U2NET": "u2net",
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"U2NET Human Seg": "u2net_human_seg",
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"U2NET Cloth Seg": "u2net_cloth_seg"
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}
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model_choices = keys(remove_bg_models)
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def predict(image, session, smoot, matting, bg_color):
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session = new_session(remove_bg_models[session])
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try:
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return remove(session, image, smoot, matting, bg_color)
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except ValueError as err:
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logging.error(err)
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return make_label(str(err)), None
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def change_show_mask(chk_state):
|
| 30 |
+
return gr.Image(visible=chk_state)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
def change_include_matting(chk_state):
|
| 34 |
+
return gr.Group(visible=chk_state), (0, 0, 0), 0, 0, 0
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def change_foreground_threshold(fg_value, value):
|
| 38 |
+
fg, bg, erode = value
|
| 39 |
+
return fg_value, bg, erode
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
def change_background_threshold(bg_value, value):
|
| 43 |
+
fg, bg, erode = value
|
| 44 |
+
return fg, bg_value, erode
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
def change_erode_size(erode_value, value):
|
| 48 |
+
fg, bg, erode = value
|
| 49 |
+
return fg, bg, erode_value
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
def set_dominant_color(chk_state):
|
| 53 |
+
return chk_state, gr.ColorPicker(visible=not chk_state)
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
def change_picker_color(picker, dominant):
|
| 57 |
+
if not dominant:
|
| 58 |
+
return picker
|
| 59 |
+
return dominant
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
def change_background_mode(chk_state):
|
| 63 |
+
return gr.ColorPicker(visible=chk_state), \
|
| 64 |
+
gr.Checkbox(value=False, visible=chk_state)
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
footer = r"""
|
| 68 |
+
<center>
|
| 69 |
+
<b>
|
| 70 |
+
Demo based on <a href='https://github.com/danielgatis/rembg'>Rembg</a>
|
| 71 |
+
</b>
|
| 72 |
+
</center>
|
| 73 |
+
"""
|
| 74 |
+
|
| 75 |
+
with gr.Blocks(title="Remove background") as app:
|
| 76 |
+
color_state = gr.State(value=False)
|
| 77 |
+
matting_state = gr.State(value=(0, 0, 0))
|
| 78 |
+
|
| 79 |
+
gr.HTML("<center><h1>Remove Background Tool</h1></center>")
|
| 80 |
+
with gr.Row(equal_height=False):
|
| 81 |
+
with gr.Column():
|
| 82 |
+
input_img = gr.Image(type="pil", label="Input image")
|
| 83 |
+
drp_models = gr.Dropdown(choices=model_choices, label="Model Segment", value="U2NET")
|
| 84 |
+
with gr.Row():
|
| 85 |
+
chk_include_matting = gr.Checkbox(label="Matting", value=False)
|
| 86 |
+
chk_smoot_mask = gr.Checkbox(label="Smoot Mask", value=False)
|
| 87 |
+
chk_show_mask = gr.Checkbox(label="Show Mask", value=False)
|
| 88 |
+
with gr.Group(visible=False) as slider_matting:
|
| 89 |
+
slr_fg_threshold = gr.Slider(0, 300, value=270, step=1, label="Alpha matting foreground threshold")
|
| 90 |
+
slr_bg_threshold = gr.Slider(0, 50, value=20, step=1, label="Alpha matting background threshold")
|
| 91 |
+
slr_erode_size = gr.Slider(0, 20, value=11, step=1, label="Alpha matting erode size")
|
| 92 |
+
with gr.Group():
|
| 93 |
+
with gr.Row():
|
| 94 |
+
chk_change_color = gr.Checkbox(label="Change background color", value=False)
|
| 95 |
+
pkr_color = gr.ColorPicker(label="Pick a new color", visible=False)
|
| 96 |
+
chk_dominant = gr.Checkbox(label="Use dominant color", value=False, visible=False)
|
| 97 |
+
run_btn = gr.Button(value="Remove background", variant="primary")
|
| 98 |
+
with gr.Column():
|
| 99 |
+
output_img = gr.Image(type="pil", label="Image Result")
|
| 100 |
+
mask_img = gr.Image(type="pil", label="Image Mask", visible=False)
|
| 101 |
+
gr.ClearButton(components=[input_img, output_img, mask_img])
|
| 102 |
+
|
| 103 |
+
chk_include_matting.change(change_include_matting, inputs=[chk_include_matting],
|
| 104 |
+
outputs=[slider_matting, matting_state,
|
| 105 |
+
slr_fg_threshold, slr_bg_threshold, slr_erode_size])
|
| 106 |
+
|
| 107 |
+
slr_fg_threshold.change(change_foreground_threshold, inputs=[slr_fg_threshold, matting_state],
|
| 108 |
+
outputs=[matting_state])
|
| 109 |
+
|
| 110 |
+
slr_bg_threshold.change(change_background_threshold, inputs=[slr_bg_threshold, matting_state],
|
| 111 |
+
outputs=[matting_state])
|
| 112 |
+
|
| 113 |
+
slr_erode_size.change(change_erode_size, inputs=[slr_erode_size, matting_state],
|
| 114 |
+
outputs=[matting_state])
|
| 115 |
+
|
| 116 |
+
chk_show_mask.change(change_show_mask, inputs=[chk_show_mask], outputs=[mask_img])
|
| 117 |
+
|
| 118 |
+
chk_change_color.change(change_background_mode, inputs=[chk_change_color],
|
| 119 |
+
outputs=[pkr_color, chk_dominant])
|
| 120 |
+
|
| 121 |
+
pkr_color.change(change_picker_color, inputs=[pkr_color, chk_dominant], outputs=[color_state])
|
| 122 |
+
|
| 123 |
+
chk_dominant.change(set_dominant_color, inputs=[chk_dominant], outputs=[color_state, pkr_color])
|
| 124 |
+
|
| 125 |
+
run_btn.click(predict, inputs=[input_img, drp_models, chk_smoot_mask, matting_state, color_state],
|
| 126 |
+
outputs=[output_img, mask_img])
|
| 127 |
+
|
| 128 |
+
with gr.Row():
|
| 129 |
+
gr.HTML(footer)
|
| 130 |
+
|
| 131 |
+
app.queue()
|
| 132 |
+
app.launch(share=False, debug=True, show_error=True)
|
requirements.txt
CHANGED
|
@@ -1,7 +1,2 @@
|
|
| 1 |
-
rembg
|
| 2 |
-
|
| 3 |
-
pymatting~=1.1.12
|
| 4 |
-
opencv-python-headless
|
| 5 |
-
gradio~=5.1.0
|
| 6 |
-
numpy~=1.26.4
|
| 7 |
-
scipy~=1.14.1
|
|
|
|
| 1 |
+
rembg>=2.0.67
|
| 2 |
+
onnxruntime>=1.22.1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|