Spaces:
Running
Running
Sharan Thakur
commited on
Commit
·
11aa79a
1
Parent(s):
6ee2c22
Adds app and dockerfile
Browse files- Dockerfile +16 -0
- LICENSE +21 -0
- app.py +108 -0
- models/isnet-general-use.onnx +3 -0
- models/u2net.onnx +3 -0
- models/u2net_cloth_seg.onnx +3 -0
- models/u2net_human_seg.onnx +3 -0
- requirements.txt +4 -0
- templates/dynamic.html +116 -0
- templates/error.html +13 -0
Dockerfile
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FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
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RUN mkdir src
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RUN mkdir app
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WORKDIR /src/app
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COPY ./requirements.txt ./
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RUN pip3 install -r requirements.txt
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COPY . .
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EXPOSE 7860
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CMD [ "python3", "app.py" ]
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LICENSE
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MIT License
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Copyright (c) 2024 Sharan Thakur
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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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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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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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app.py
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import base64
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from rembg import remove, new_session
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from typing import Annotated
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from fastapi import FastAPI, UploadFile, Request, File, Form
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from fastapi.templating import Jinja2Templates
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from fastapi.responses import RedirectResponse, HTMLResponse, Response
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import uvicorn
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import os
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os.environ['U2NET_HOME'] = './models/'
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model_names = [
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'u2net',
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'u2net_human_seg',
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'u2net_cloth_seg',
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'isnet-general-use',
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]
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sessions = {
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'u2net': new_session(model_name=model_names[0]),
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}
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app = FastAPI()
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templates = Jinja2Templates(directory="templates")
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@app.get("/")
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def health(request: Request):
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return templates.TemplateResponse('dynamic.html', { "request": request })
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@app.post("/remove")
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async def remove_bg(
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request: Request,
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file: Annotated[UploadFile, File()],
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mask_only: Annotated[str, Form()] = 'off',
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name_of_model: Annotated[str, Form()] = 'u2net'
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) -> HTMLResponse:
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try:
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if name_of_model not in sessions.keys():
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sessions[name_of_model] = new_session(model_name=name_of_model)
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current_session = sessions[name_of_model]
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only_mask = mask_only == 'on'
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data = file.file.read()
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output_array = remove(data, only_mask=only_mask, session=current_session)
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output_img = base64.b64encode(output_array).decode('utf-8')
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file.file.close()
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encoded_image = base64.b64encode(data).decode('utf-8')
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return templates.TemplateResponse(
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'dynamic.html',
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{
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"request" : request,
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"image" : encoded_image,
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"output_img" : output_img
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}
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)
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except Exception as error_msg:
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return templates.TemplateResponse(
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"error.html",
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{
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"request" : request,
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"error_msg" : str(error_msg),
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}
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)
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@app.post("/remove_bg")
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async def remove_bg(
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request: Request,
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file: UploadFile,
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mask_only: str = 'off',
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name_of_model: str = 'u2net'
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):
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try:
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if name_of_model not in sessions.keys():
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sessions[name_of_model] = new_session(model_name=name_of_model)
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current_session = sessions[name_of_model]
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only_mask = mask_only == 'on'
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data = file.file.read()
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output_array = remove(data, only_mask=only_mask, session=current_session)
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file.file.close()
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return Response(content=output_array, media_type="image/png")
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except Exception as error:
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return f"Oopss!!!! {error}"
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@app.get("/remove")
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def remove_bg_redirect():
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return RedirectResponse('/')
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if __name__ == '__main__':
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uvicorn.run(app, host='0.0.0.0', port=7860)
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models/isnet-general-use.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:60920e99c45464f2ba57bee2ad08c919a52bbf852739e96947fbb4358c0d964a
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size 178648008
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models/u2net.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d10d2f3bb75ae3b6d527c77944fc5e7dcd94b29809d47a739a7a728a912b491
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size 175997641
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models/u2net_cloth_seg.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d2cbc27bfbdc989e1fd325656d65902ecc6a3ccbe94b2d3655ec114efcb128e
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size 176194565
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models/u2net_human_seg.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:01eb6a29a5c4d8edb30b56adad9bb3a2a0535338e480724a213e0acfd2d1c73c
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size 175997641
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requirements.txt
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rembg==2.0.56
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python-multipart==0.0.9
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fastapi
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uvicorn
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templates/dynamic.html
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<!DOCTYPE html>
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<html>
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<head>
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<title>Remove Image Background</title>
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</head>
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<style>
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hr {
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border: none;
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border-top: 3px double #333;
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color: #333;
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overflow: visible;
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text-align: center;
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height: 5px;
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}
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hr::after {
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background: #fff;
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content: "📷";
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padding: 0 4px;
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position: relative;
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top: -13px;
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}
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form {
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padding: 10px;
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border: 1px solid #ddd;
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margin-bottom: 20px;
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}
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input[type="submit"] {
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background-color: #333;
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color: #fff;
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padding: 5px 10px;
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border: none;
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border-radius: 3px;
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cursor: pointer;
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}
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.drop-zone {
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border: 2px dashed #ccc;
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padding: 20px;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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cursor: pointer;
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}
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.drop-zone.dragover {
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background-color: #f0f0f0;
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}
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</style>
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<body>
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<div id="dropZone" class="drop-zone">
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<h1>Remove Background from Images!</h1>
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<form
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id="upload_form"
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action="/remove"
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enctype="multipart/form-data"
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method="POST"
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>
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<input id="input_image" name="file" type="file" accept="image/*" />
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<label for="mask_only">Mask Only</label>
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<input
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type="checkbox"
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id="mask_only"
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name="mask_only"
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type="checkbox"
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/>
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<label for="name_of_model">Choose a model:</label>
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<select name="name_of_model" id="name_of_model">
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<option value="u2net">U2Net</option>
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<option value="u2net_human_seg">U2Net Human Seg</option>
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<option value="u2net_cloth_seg">U2Net Cloth Seg</option>
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<option value="isnet-general-use">ISNET</option>
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</select>
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<input type="submit" />
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</form>
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<hr />
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{% if image %}
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<h1>Input Image</h1>
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<img src="data:image/jpeg;base64,{{ image }}" height="200" />
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{% else %} No Image Selected {% endif %} {% if output_img %}
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<h1>Output Image</h1>
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<img src="data:image/jpeg;base64,{{ output_img }}" height="200" />
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{% endif %}
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<h4>The available models are:</h4>
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<ul>
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<li><b>u2net:</b> A pre-trained model for general use cases.</li>
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<li>
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<b>u2net_human_seg:</b> A pre-trained model for human segmentation.
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</li>
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<li>
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<b>u2net_cloth_seg:</b> A pre-trained model for Cloths Parsing from
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human portrait. Here clothes are parsed into 3 category: Upper body,
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Lower body and Full body. isnet-general-use: A new pre-trained model
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for general use cases.
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</li>
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<li>
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<a
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href="https://github.com/danielgatis/rembg?tab=readme-ov-file#models"
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>Learn More</a
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>
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</li>
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</ul>
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</div>
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</body>
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</html>
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templates/error.html
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<!DOCTYPE html>
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<html>
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<head>
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<title>Remove Image Background</title>
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</head>
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<body>
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<h1>Error!!!!</h1>
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{% if error_msg %}
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<h3>{{error_msg}}</h3>
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{% endif %}
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<a href="/">Home</a>
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</body>
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</html>
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