Spaces:
Sleeping
Sleeping
File size: 7,403 Bytes
fe05a55 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | import streamlit as st
import cv2
import numpy as np
import pytesseract
from PIL import Image
from pdf2image import convert_from_bytes
from langdetect import detect
<<<<<<< HEAD
=======
<<<<<<< HEAD
>>>>>>> d426f62 (Initial commit on master)
# ===============================
# ⚙️ Cấu hình Tesseract OCR
# ===============================
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
<<<<<<< HEAD
=======
=======
import platform
import os
# ===============================
# ⚙️ Cấu hình Tesseract OCR tự động theo OS
# ===============================
if platform.system() == "Windows":
# Windows local
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
poppler_path = r"C:\poppler-23.12.0\bin" # Thay bằng đường dẫn Poppler của bạn
else:
# Linux / Streamlit Cloud
pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
poppler_path = None
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
custom_config = r'--oem 3 --psm 6'
# ===============================
# 🖼️ Giao diện Streamlit
# ===============================
<<<<<<< HEAD
=======
<<<<<<< HEAD
>>>>>>> d426f62 (Initial commit on master)
st.set_page_config(page_title="Smart OCR Premium - Nguyen Tin Tin Do", page_icon="🧠", layout="wide")
st.title("🧠 Smart OCR Pro - Vietnamese + English Text Recognition")
st.markdown("""
Ứng dụng OCR chuyên nghiệp dùng **Tesseract + Streamlit**
<<<<<<< HEAD
=======
=======
st.set_page_config(page_title="Smart OCR Premium", page_icon="🧠", layout="wide")
st.title("🧠 Smart OCR Pro - Vietnamese + English Text Recognition")
st.markdown("""
Ứng dụng OCR dùng **Tesseract + Streamlit**
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
Hỗ trợ ảnh, PDF, song ngữ (🇻🇳 + 🇺🇸), xuất văn bản và bounding box.
""")
uploaded_file = st.file_uploader("📤 Tải ảnh hoặc PDF", type=["png", "jpg", "jpeg", "pdf"])
@st.cache_resource
def ocr_process(image_np, lang):
gray = cv2.cvtColor(image_np, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray, 9, 75, 75)
gray = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY, 31, 2)
<<<<<<< HEAD
=======
<<<<<<< HEAD
>>>>>>> d426f62 (Initial commit on master)
hImg, wImg = gray.shape
boxes = pytesseract.image_to_boxes(gray, config=custom_config, lang=lang)
img_copy = image_np.copy()
<<<<<<< HEAD
=======
=======
hImg, wImg = gray.shape
boxes = pytesseract.image_to_boxes(gray, config=custom_config, lang=lang)
img_copy = image_np.copy()
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
for b in boxes.splitlines():
b = b.split(' ')
if len(b) >= 5:
x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
cv2.rectangle(img_copy, (x, hImg - y), (w, hImg - h), (0, 255, 0), 2)
cv2.putText(img_copy, b[0], (x, hImg - y + 25),
cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2)
<<<<<<< HEAD
=======
<<<<<<< HEAD
>>>>>>> d426f62 (Initial commit on master)
text = pytesseract.image_to_string(gray, config=custom_config, lang=lang)
return img_copy, text
if uploaded_file is not None:
st.subheader("📄 Kết quả OCR:")
# ===============================
# 🔍 Xử lý PDF hoặc Ảnh
# ===============================
if uploaded_file.name.lower().endswith(".pdf"):
# ✅ Thêm đường dẫn poppler
poppler_path = r"C:\poppler-23.12.0\bin" # <-- sửa theo nơi bạn giải nén Poppler
pages = convert_from_bytes(uploaded_file.read(), poppler_path=poppler_path)
<<<<<<< HEAD
=======
=======
text = pytesseract.image_to_string(gray, config=custom_config, lang=lang)
return img_copy, text
# ===============================
# 🔍 Xử lý file upload
# ===============================
if uploaded_file is not None:
st.subheader("📄 Kết quả OCR:")
if uploaded_file.name.lower().endswith(".pdf"):
pages = convert_from_bytes(uploaded_file.read(), poppler_path=poppler_path)
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
for i, page in enumerate(pages):
st.write(f"### Trang {i+1}")
img_np = np.array(page)
img_bgr = cv2.cvtColor(img_np, cv2.COLOR_RGB2BGR)
<<<<<<< HEAD
# Phát hiện ngôn ngữ tự động
=======
<<<<<<< HEAD
# Phát hiện ngôn ngữ tự động
=======
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
sample_text = pytesseract.image_to_string(img_bgr, config=custom_config, lang="vie+eng")
try:
lang_detected = detect(sample_text)
lang = "vie" if lang_detected == "vi" else "eng"
except:
lang = "vie+eng"
result_img, result_text = ocr_process(img_bgr, lang)
st.image(cv2.cvtColor(result_img, cv2.COLOR_BGR2RGB), caption=f"OCR Trang {i+1}", use_container_width=True)
st.text_area(f"📘 Văn bản Trang {i+1}", result_text, height=200)
else:
image = Image.open(uploaded_file)
img_np = np.array(image)
img_bgr = cv2.cvtColor(img_np, cv2.COLOR_RGB2BGR)
<<<<<<< HEAD
# Phát hiện ngôn ngữ
=======
<<<<<<< HEAD
# Phát hiện ngôn ngữ
=======
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
sample_text = pytesseract.image_to_string(img_bgr, config=custom_config, lang="vie+eng")
try:
lang_detected = detect(sample_text)
lang = "vie" if lang_detected == "vi" else "eng"
except:
lang = "vie+eng"
result_img, result_text = ocr_process(img_bgr, lang)
<<<<<<< HEAD
=======
<<<<<<< HEAD
>>>>>>> d426f62 (Initial commit on master)
st.image(cv2.cvtColor(result_img, cv2.COLOR_BGR2RGB), caption="Ảnh OCR", use_container_width=True)
st.text_area("📘 Văn bản nhận dạng được", result_text, height=250)
<<<<<<< HEAD
=======
=======
st.image(cv2.cvtColor(result_img, cv2.COLOR_BGR2RGB), caption="Ảnh OCR", use_container_width=True)
st.text_area("📘 Văn bản nhận dạng được", result_text, height=250)
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
st.download_button("📥 Tải kết quả OCR (.txt)",
data=result_text,
file_name="ocr_output.txt",
mime="text/plain")
<<<<<<< HEAD
else:
st.info("⬆️ Tải lên ảnh hoặc PDF để bắt đầu nhận dạng.")
=======
<<<<<<< HEAD
else:
st.info("⬆️ Tải lên ảnh hoặc PDF để bắt đầu nhận dạng.")
=======
else:
st.info("⬆️ Tải lên ảnh hoặc PDF để bắt đầu nhận dạng.")
>>>>>>> 2ba32ab (update requirement.txt)
>>>>>>> d426f62 (Initial commit on master)
|