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e5f2ba1
1
Parent(s):
c9b1b84
Add application files0
Browse files
app.py
CHANGED
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@@ -7,58 +7,62 @@ import requests
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from io import BytesIO
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import json
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# Initialize EasyOCR once
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reader = easyocr.Reader(['en'])
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def detect_digits(image_url):
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try:
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# Download the image
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response = requests.get(image_url)
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response.raise_for_status()
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# Convert to OpenCV format
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image = Image.open(BytesIO(response.content)).convert('RGB')
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img_np = np.array(image)
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img_cv = cv2.cvtColor(img_np, cv2.COLOR_RGB2BGR)
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# Perform text detection
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results = reader.readtext(img_cv)
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# Process results
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output = []
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for bbox, text, conf in results:
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if any(c.isdigit() for c in text):
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# Extract coordinates
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tl = tuple(map(int, bbox[0]))
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br = tuple(map(int, bbox[2]))
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"text": text,
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"confidence": float(conf),
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"coordinates": {
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"x_min": tl[0],
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"y_min": tl[1],
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"x_max": br[0],
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"y_max": br[1
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}
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}
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return json.dumps(
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except Exception as e:
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return json.dumps({"error": str(e)})
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# Create Gradio interface
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interface = gr.Interface(
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fn=detect_digits,
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inputs=gr.Textbox(
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outputs=gr.JSON(label="Detection Results"),
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title="Digit Region Detection",
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description="Upload an image URL to detect regions containing numbers",
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allow_flagging="never"
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)
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interface.launch()
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from io import BytesIO
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import json
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reader = easyocr.Reader(['en'])
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def calculate_area(coords):
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return (coords['x_max'] - coords['x_min']) * (coords['y_max'] - coords['y_min'])
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def detect_digits(image_url):
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try:
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response = requests.get(image_url)
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response.raise_for_status()
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image = Image.open(BytesIO(response.content)).convert('RGB')
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img_np = np.array(image)
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img_cv = cv2.cvtColor(img_np, cv2.COLOR_RGB2BGR)
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results = reader.readtext(img_cv)
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output = []
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for bbox, text, conf in results:
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if any(c.isdigit() for c in text):
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tl = tuple(map(int, bbox[0]))
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br = tuple(map(int, bbox[2]))
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entry = {
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"text": text,
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"confidence": float(conf),
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"coordinates": {
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"x_min": tl[0],
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"y_min": tl[1],
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"x_max": br[0],
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"y_max": br[1
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}
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}
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entry["area"] = calculate_area(entry["coordinates"])
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output.append(entry)
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# ترتيب النتائج حسب المساحة تنازلياً
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sorted_output = sorted(output, key=lambda x: x['area'], reverse=True)
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# أخذ أكبر 3 نتائج فقط
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top_three = sorted_output[:3]
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# إزالة حقل المساحة من النتيجة النهائية
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for item in top_three:
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item.pop('area', None)
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return json.dumps(top_three, indent=2, ensure_ascii=False)
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except Exception as e:
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return json.dumps({"error": str(e)})
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interface = gr.Interface(
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fn=detect_digits,
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inputs=gr.Textbox(label="رابط الصورة", placeholder="أدخل رابط الصورة هنا..."),
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outputs=gr.JSON(label="النتائج"),
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title="كشف المناطق الرقمية",
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description="أدخل رابط صورة لاكتشاف أكبر 3 مناطق تحتوي على أرقام"
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)
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interface.launch()
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