From f14b5c45100acb60619f5cec42a65e537d773f51 Mon Sep 17 00:00:00 2001
From: localhorst <localhorst@mosad.xyz>
Date: Sun, 23 Jul 2023 11:57:38 +0200
Subject: [PATCH] batch scanning script
---
README.md | 14 ++++++++++
extract_photos.py | 67 +++++++++++++++++++++++++++++++++++++++++++++++
scan_photos.py | 54 ++++++++++++++++++++++++++++++++++++++
3 files changed, 135 insertions(+)
create mode 100644 extract_photos.py
create mode 100644 scan_photos.py
diff --git a/README.md b/README.md
index fdd6035..d631195 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,16 @@
# ultimate-photo-digitizer
+
+## Scanner comands
+
+```
+scanimage --progress --output-file 01.png --format=png --mode Color --resolution 2400 --verbose --depth 16
+```
+
+
+## Setup
+
+```
+pip install opencv-python-headless
+
+```
diff --git a/extract_photos.py b/extract_photos.py
new file mode 100644
index 0000000..6670e51
--- /dev/null
+++ b/extract_photos.py
@@ -0,0 +1,67 @@
+# import required libraries
+import cv2
+import sys
+
+# read the input image
+img = cv2.imread('hires_test.png')
+
+
+if not img:
+ print("unable to read image")
+ sys.exit(-1)
+
+print("read done")
+
+# convert the image to grayscale
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+print("convert to gray done")
+
+# apply thresholding on the gray image to create a binary image
+ret,thresh = cv2.threshold(gray,127,255,0)
+
+# find the contours
+contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+
+areas = list()
+
+for cnt in contours:
+ #print(cv2.contourArea(cnt))
+ areas.append(cv2.contourArea(cnt))
+
+areas.sort(reverse=True)
+
+#print(areas)
+
+if (len(areas) >= 5):
+ outer = areas[0]
+ inter_min = areas[4]
+ print("Outer area: " + str(outer))
+ print("Inner area: " + str(inter_min))
+
+ index = 0
+
+ for cnt in contours:
+ area = cv2.contourArea(cnt)
+ if( (area < outer) and (area >= inter_min)):
+ # compute the bounding rectangle of the contour
+ x,y,w,h = cv2.boundingRect(cnt)
+ # draw the bounding rectangle
+ #imgView = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+
+ x = x + 5
+ y = y + 5
+ w = w - 10
+ h = h - 10
+
+ crop_img = img[y:y+h, x:x+w]
+ #cv2.imshow("cropped", crop_img)
+ cv2.imwrite("export_"+str(index)+".png", crop_img)
+ index = index + 1
+ #cv2.waitKey(0)
+
+# display the image with bounding rectangle drawn on it
+#imgDownscaled = cv2.resize(imgView, (410, 876))
+#cv2.imshow("Bounding Rectangle", imgDownscaled)
+#cv2.waitKey(0)
+#cv2.destroyAllWindows()
+
diff --git a/scan_photos.py b/scan_photos.py
new file mode 100644
index 0000000..90833dd
--- /dev/null
+++ b/scan_photos.py
@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+""" Author: Hendrik Schutter, mail@hendrikschutter.com
+"""
+
+import os
+import errno
+import time
+import shutil
+import sys
+import subprocess
+
+scan_cmd = "scanimage --progress --format=png --mode Color --resolution 2400 --verbose --depth 16 --output-file "
+
+def main():
+ print("starting ...")
+
+ destination_dir_path = -1
+
+ for argument in sys.argv:
+ if argument.startswith('destination_dir'):
+ destination_dir_path = argument.split("=")[1]
+
+ if (destination_dir_path == -1):
+ print("Unable to parse config!")
+ print("Example usage:")
+ print(" python scan_photos.py destination_dir=scans/ ")
+ sys.exit(-1)
+
+ filename = time.strftime("%Y-%m-%d_%H-%M-%S.png")
+ #print(filename)
+
+ filepath = os.path.join(destination_dir_path, filename)
+ #print(filepath)
+
+ cmd = scan_cmd + filepath
+
+ print(cmd)
+ p = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
+ (output, err) = p.communicate()
+
+ p_status = p.wait()
+ #print("Command output : ",output.decode())
+ print("Command exit status/return code : ", p_status)
+
+ if(int(p_status) == 0):
+ print("Scan successful")
+ else:
+ print("Scan failed!")
+ if os.path.exists(filepath):
+ os.remove(filepath)
+
+if __name__ == "__main__":
+ main()
\ No newline at end of file