Sergey Mikhno
commited on
Commit
·
1bad634
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Parent(s):
0f146e2
commit
Browse files- app +0 -0
- app/app.py +60 -0
- app/requirements.txt +6 -0
app
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app/app.py
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from flask import Flask
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from doclayout_yolo import YOLOv10
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from huggingface_hub import hf_hub_download
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import os
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import json
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from flask import Flask, flash, request, redirect, url_for
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from werkzeug.utils import secure_filename
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UPLOAD_FOLDER = 'upload'
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ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif'}
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filepath = hf_hub_download(repo_id="juliozhao/DocLayout-YOLO-DocStructBench", filename="doclayout_yolo_docstructbench_imgsz1024.pt")
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model = YOLOv10(filepath)
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app = Flask(__name__)
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app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
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def allowed_file(filename):
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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@app.route("/", methods=['GET', 'POST'])
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def doc_layout():
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if request.method == 'POST':
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if 'file' not in request.files:
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flash('no file part')
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return redirect(request.url)
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file = request.files['file']
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if file.filename == '':
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flash('No selected file')
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return redirect(request.url)
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if file and allowed_file(file.filename):
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filename = secure_filename(file.filename)
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file.save(filename)
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det_res = model.predict(
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filename, # Image to predict
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imgsz=1024, # Prediction image size
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conf=0.2, # Confidence threshold
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device="cpu" # Device to use (e.g., 'cuda:0' or 'cpu')
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)
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names = det_res[0].names
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blocknames = [names[int(n)] for n in det_res[0].boxes.cls]
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xyxy = [a.tolist() for a in det_res[0].boxes.xyxy]
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res = [{"coords": y, "type": x} for x, y in zip(blocknames, xyxy)]
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return json.dumps(res)
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return '''
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<!doctype html>
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<title>Upload new File</title>
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<h1>Upload new File</h1>
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<form method=post enctype=multipart/form-data>
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<input type=file name=file>
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<input type=submit value=Upload>
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</form>
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'''
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=8080)
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app/requirements.txt
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doclayout-yolo == 0.0.4
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flask == 3.1.1
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huggingface-hub == 0.33.0
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gunicorn
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torch == 2.5.0
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