needs test

bounding_box.py

@@ -0,0 +1,34 @@
+import cv2
+import logging
+
+d = 1
+
+while True:
+    try:
+        output = ('cropped/page%d.jpg'%d)
+
+        # Load image, convert to grayscale, and find edges
+        image = cv2.imread('split/input%d.jpg'%d)
+        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY)[1]
+
+        # Find contour and sort by contour area
+        cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+        cnts = cnts[0] if len(cnts) == 2 else cnts[1]
+        cnts = sorted(cnts, key=cv2.contourArea, reverse=True)
+
+        # Find bounding box and extract ROI
+        for c in cnts:
+            x,y,w,h = cv2.boundingRect(c)
+            ROI = image[y:y+h, x:x+w]
+            break
+
+        cv2.imwrite(output,ROI)
+        cv2.waitKey()
+
+        d+=1
+
+    except:
+        logging.exception("message")
+        print("All pages must be ready!")
+        break

burstpdf.py

@@ -0,0 +1,43 @@
+#Based in the code in https://iq.opengenus.org/pdf_to_image_in_python/
+
+import pdf2image
+from PIL import Image
+import time
+
+#DECLARE CONSTANTS
+PDF_PATH = ("scans/out.pdf")
+DPI = 72
+FIRST_PAGE = None
+LAST_PAGE = None
+FORMAT = 'jpg'
+THREAD_COUNT = 1
+USERPWD = None
+USE_CROPBOX = False
+STRICT = False
+
+def pdftopil():
+    #This method reads a pdf and converts it into a sequence of images
+    #PDF_PATH sets the path to the PDF file
+    #dpi parameter assists in adjusting the resolution of the image
+    #first_page parameter allows you to set a first page to be processed by pdftoppm
+    #last_page parameter allows you to set a last page to be processed by pdftoppm
+    #fmt parameter allows to set the format of pdftoppm conversion (PpmImageFile, TIFF)
+    #thread_count parameter allows you to set how many thread will be used for conversion.
+    #userpw parameter allows you to set a password to unlock the converted PDF
+    #use_cropbox parameter allows you to use the crop box instead of the media box when converting
+    #strict parameter allows you to catch pdftoppm syntax error with a custom type PDFSyntaxError
+
+    start_time = time.time()
+    pil_images = pdf2image.convert_from_path(PDF_PATH, dpi=DPI, first_page=FIRST_PAGE, last_page=LAST_PAGE, fmt=FORMAT, thread_count=THREAD_COUNT, userpw=USERPWD, use_cropbox=USE_CROPBOX, strict=STRICT)
+    print ("Time taken : " + str(time.time() - start_time))
+    return pil_images
+
+def save_images(pil_images):
+    d = 1
+    for image in pil_images:
+        image.save(("split/input%d"%d) + ".jpg")
+        d += 1
+
+if __name__ == "__main__":
+    pil_images = pdftopil()
+    save_images(pil_images)

chmod.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+
+sudo chmod 777 *

merge_files.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+#line 3 means here
+# cd "$(dirname "$0")"
+
+cd ocred
+pwd
+pdfunite *.pdf ../out.pdf

merge_scans.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+#line 3 means here
+# cd "$(dirname "$0")"
+
+cd scans
+pwd
+convert *.jpg out.pdf

readme.md

@@ -0,0 +1,155 @@
+<h1 align="center">Flatbed_Scanner_Workflow</h1>
+
+## Getting started
+
+This set of scripts was written for the Text Laundrette workshop. The workshop takes place in the Publication Station, WDkA building.<br> Rotterdam, 03-02-2020<br>It is a workflow to turn the pictures from a Flatbed Scanner into a final OCRed PDF.<br>
+<br>
+## About the Workshop
+
+<em>DESCRIPTION</em>
+<p>We will use a home-made, DIY book scanner, and open-source software to scan, process, and add digital features to printed texts brought by the participants to the workshop. Ultimately, we will include them in the “bootleg library”, a shadow library accessible over a local network.</p>
+
+<p>Shadow libraries operate outside of legal copyright frameworks, in response to decreased open access to knowledge. This workshop aims to extend our research on libraries, their sociability, and methods by which we can add provenance to texts included in public or private, legal or extra-legal collections.</p>
+
+<p>Participants should bring: a printed text, which they’d like to digitize and share.</p>
+
+<br><br>
+##Dependencies
+###Brew (MAC) or apt-get (LINUX)
+<p>You’ll need the command-line tools for Xcode installed.</p>
+
+```bash
+xcode-select --install
+```
+
+<p>After install Homebrew.</p>
+
+```bash
+ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
+```
+
+<p>Run the following command once you’re done to ensure Homebrew is installed and working properly:</p>
+
+```bash
+brew doctor
+```
+
+```bash
+sudo apt-get install python3 python3-pip imagemagick poppler pdfunite
+```
+
+```bash
+brew install python3 python3-pip imagemagick poppler pdfunite
+```
+<br>
+###PIP3
+
+```bash
+sudo pip3 install pdf2image Pillow time logging opencv-python pytesseract
+```
+
+<br>
+##How to use
+<p>Your scans must look like this for the scripts to perform right.</p>
+
+                               RIGHT PAGE
+                         —————————————————————
+                        |                     |
+                        |——————————           |
+                        |           |         |
+                        |           |         |
+                        |           |         |
+                        |           |         |
+                        |           |         |
+                        |        01 |         |
+                        |——————————           |
+                        |                     |
+                         —————————————————————
+
+      LEFT PAGE                RIGHT PAGE
+ —————————————————————   —————————————————————
+|                     | |                     |
+|           ——————————| |——————————           |
+|         |           | |           |         |
+|         |           | |           |         |
+|         |           | |           |         |
+|         |           | |           |         |
+|         |           | |           |         |
+|         | 02        | |        03 |         |
+|          —————————— | |——————————           |
+|                     | |                     |
+ —————————————————————   —————————————————————
+
+
+<p>Add your pictures from the book scanner to the folder "/scans"</p>
+
+<p>Make all the files executable.</p>
+
+```bash
+sudo chmod 777 merge_scans.sh workshop_stream.sh marge_files.sh
+```
+
+<p>In case you want to skip any of the scripts just comment out in the shell code, <em>workshop_stream.sh</em>.</p>
+
+<p>Run ./workshop_stream.sh</p>
+
+
+<p>Wait :)</p>
+
+<br><br>
+##Aditional information
+The workflow follows these scripts, by successive order:
+
+###Create 5 directories
+
+```bash
+mkdir split
+mkdir rotated
+mkdir ocred
+mkdir bounding_box
+mkdir cropped
+```
+###Merge the files in the directory <em>scans</em>
+<p>All the scans will be appended to one pdf called out.pdf</p>
+```bash
+./merge_scans.sh
+```
+
+###Burst the pdf in <em>scans</em>
+<p>Burst this pdf, renaming all the files so they can be iterated later.</p>
+```bash
+python3 burstpdf.py
+```
+
+###Rotate the pdfs
+<p>The book scanner takes pictures of the pdfs, this scrip iterates through the odd and even pages rotating them to their original position.</p>
+```bash
+python3 rotation.py
+```
+
+###Cropping the bounding boxes
+<p>The pages are now in their original position, but they have a bounding box. This script iterates through them and crops the highest contrast area found.</p>
+```bash
+python3 bounding_box.py
+```
+
+###Cropping the mirror
+<p>The pages are now cropped, but the mirror is still visible in the middle.</p>
+```bash
+python3 mirror_crop.py
+```
+
+###OCR
+<p>In this part we OCR the jpg, turning these into PDFs.</p>
+```bash
+python3 tesseract_ocr.py
+```
+
+###Merge all the files and create the pdf
+<p>The OCRed pages are now joined into their final PDF, your book is ready :)</p>
+```bash
+./merge_files.sh
+```
+<br><br>
+## License
+The package is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).

tesseract_ocr.py

@@ -0,0 +1,22 @@
+# import libraries
+from PIL import Image
+import pytesseract
+import time
+
+i = 1
+
+while True:
+    try:
+        img = Image.open("cropped/page%i.jpg"%i)
+        print(img)
+        pdf = pytesseract.image_to_pdf_or_hocr(img, lang="eng", extension='pdf')
+        time.sleep(1)
+        file = open(("ocred/page%i.pdf"%i), "w+b")
+        file.write(bytearray(pdf))
+        file.close()
+        i+=1
+        print(i)
+
+    except:
+        print("All pages must be ready!")
+        break

workshop_stream.sh

@@ -0,0 +1,8 @@
+mkdir split
+mkdir ocred
+mkdir cropped
+./merge_scans.sh
+python3 burstpdf.py
+python3 bounding_box.py
+python3 tesseract_ocr.py
+./merge_files.sh