From 554518bcca4a5c4433891e56ca415db399db08d7 Mon Sep 17 00:00:00 2001
From: minwoo <alsdndia789@ajou.ac.kr>
Date: Fri, 21 May 2021 21:55:40 +0900
Subject: [PATCH] change step

---
 .ipynb_checkpoints/Untitled-checkpoint.ipynb  |   6 ++
 .../openCV_scanner-checkpoint.ipynb           |  61 +++++++++---------
 Untitled.ipynb                                |  32 +++++++++
 modified/receipt2.jpg                         | Bin 8179 -> 7307 bytes
 modified/tilted receipt.jpg                   | Bin 9701 -> 8942 bytes
 openCV_scanner.ipynb                          |  61 +++++++++---------
 images/receipt.jpg => receipt.jpg             | Bin
 7 files changed, 98 insertions(+), 62 deletions(-)
 create mode 100644 .ipynb_checkpoints/Untitled-checkpoint.ipynb
 create mode 100644 Untitled.ipynb
 rename images/receipt.jpg => receipt.jpg (100%)

diff --git a/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
new file mode 100644
index 0000000..7fec515
--- /dev/null
+++ b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/.ipynb_checkpoints/openCV_scanner-checkpoint.ipynb b/.ipynb_checkpoints/openCV_scanner-checkpoint.ipynb
index aa6048d..313abaf 100644
--- a/.ipynb_checkpoints/openCV_scanner-checkpoint.ipynb
+++ b/.ipynb_checkpoints/openCV_scanner-checkpoint.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 267,
+   "execution_count": 301,
    "metadata": {
     "scrolled": true
    },
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 268,
+   "execution_count": 302,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 269,
+   "execution_count": 303,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 270,
+   "execution_count": 304,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 305,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -136,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 272,
+   "execution_count": 306,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 273,
+   "execution_count": 307,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 274,
+   "execution_count": 308,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -204,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 275,
+   "execution_count": 309,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -252,7 +252,7 @@
     "    #print(\"max_index = \",max_index)\n",
     "    image_fixed = image.copy()\n",
     "    if max_index < 0:\n",
-    "        print(\"max_index < 0 \" +i)\n",
+    "        print(\"max_index < 0, return points \")\n",
     "        #print(points)\n",
     "        return points\n",
     "\n",
@@ -308,12 +308,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 310,
    "metadata": {},
    "outputs": [],
    "source": [
     "def b1event():\n",
-    "    print(sizes)\n",
+    "    global step\n",
     "    if sizes == 4:\n",
     "        cv2.namedWindow('input')\n",
     "        cv2.setMouseCallback(\"input\", mouse_callback, 0);\n",
@@ -334,12 +334,12 @@
     "        cv2.imshow('input', image_result)\n",
     "        cv2.imshow('result', image_final)\n",
     "        cv2.imwrite('./modified/' +i, image_final)\n",
-    "        print(i + \" save final image!\")\n",
+    "        print(i + \" i got 4 edges!!\")\n",
     "        \n",
     "    else:\n",
     "        cv2.imshow('input', image)\n",
     "        cv2.imwrite('./modified/' +i, image)\n",
-    "        print(i + \" not yet..!\")\n",
+    "        print(i + \" i don't got 4 edges!\")\n",
     "    cv2.waitKey(0)\n",
     "    cv2.destroyAllWindows()\n",
     "    win.destroy()"
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 311,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -356,11 +356,11 @@
     "        image_final = transform(image, points)\n",
     "        cv2.imshow('result', image_final)\n",
     "        cv2.imwrite('./modified/' +i, image_final)\n",
-    "        print(i + \" save thresh!\")\n",
+    "        print(i + \" i got 4 edges!!/no button\")\n",
     "    else:\n",
     "        cv2.imshow('input', image)\n",
     "        cv2.imwrite('./modified/' +i, image)\n",
-    "        print(i + \" not yet..!\")\n",
+    "        print(i + \" i don't got 4 edges!/no button\")\n",
     "    cv2.waitKey(0)\n",
     "    cv2.destroyAllWindows()\n",
     "    win.destroy()"
@@ -368,27 +368,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 312,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "max_index < 0 document.jpg\n",
+      "max_index < 0, return points \n",
       "size 0\n",
-      "0\n",
-      "document.jpg not yet..!\n",
-      "max_index < 0 receipt2.jpg\n",
-      "size 0\n",
-      "0\n",
-      "receipt2.jpg not yet..!\n",
+      "document.jpg i don't got 4 edges!\n",
+      "len of max_contour 5\n",
+      "size 4\n",
+      "[19. 70.] [121.  24.] [199. 157.] [106. 213.]\n",
+      "89.0 145.0 356.0 319.0\n",
+      "receipt2.jpg i got 4 edges!!\n",
       "len of max_contour 8\n",
       "size 4\n",
-      "4\n",
-      "[13. 48.] [149.  27.] [170. 218.] [ 36. 238.]\n",
-      "61.0 176.0 388.0 274.0\n",
-      "tilted receipt.jpg save final image!\n"
+      "[18. 45.] [138.  32.] [158. 211.] [ 39. 225.]\n",
+      "63.0 170.0 369.0 264.0\n",
+      "tilted receipt.jpg i got 4 edges!!\n"
      ]
     }
    ],
@@ -484,7 +483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 266,
+   "execution_count": 286,
    "metadata": {},
    "outputs": [
     {
@@ -494,7 +493,7 @@
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-266-d25ce1a2f34d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m#이미지 저장\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfpdf\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFPDF\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m<ipython-input-286-0a916bbbf96e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m#이미지 저장\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m##################아직 안합침################################\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfpdf\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFPDF\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'fpdf'"
      ]
     }
diff --git a/Untitled.ipynb b/Untitled.ipynb
new file mode 100644
index 0000000..956cbd9
--- /dev/null
+++ b/Untitled.ipynb
@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/modified/receipt2.jpg b/modified/receipt2.jpg
index fae3687cc7f737191e7f9251389ce46a77b869e4..86a073a944046fbcba804e12c7125e8d05ebd02a 100644
GIT binary patch
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diff --git a/openCV_scanner.ipynb b/openCV_scanner.ipynb
index aa6048d..313abaf 100644
--- a/openCV_scanner.ipynb
+++ b/openCV_scanner.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 267,
+   "execution_count": 301,
    "metadata": {
     "scrolled": true
    },
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 268,
+   "execution_count": 302,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 269,
+   "execution_count": 303,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 270,
+   "execution_count": 304,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 305,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -136,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 272,
+   "execution_count": 306,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 273,
+   "execution_count": 307,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 274,
+   "execution_count": 308,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -204,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 275,
+   "execution_count": 309,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -252,7 +252,7 @@
     "    #print(\"max_index = \",max_index)\n",
     "    image_fixed = image.copy()\n",
     "    if max_index < 0:\n",
-    "        print(\"max_index < 0 \" +i)\n",
+    "        print(\"max_index < 0, return points \")\n",
     "        #print(points)\n",
     "        return points\n",
     "\n",
@@ -308,12 +308,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 310,
    "metadata": {},
    "outputs": [],
    "source": [
     "def b1event():\n",
-    "    print(sizes)\n",
+    "    global step\n",
     "    if sizes == 4:\n",
     "        cv2.namedWindow('input')\n",
     "        cv2.setMouseCallback(\"input\", mouse_callback, 0);\n",
@@ -334,12 +334,12 @@
     "        cv2.imshow('input', image_result)\n",
     "        cv2.imshow('result', image_final)\n",
     "        cv2.imwrite('./modified/' +i, image_final)\n",
-    "        print(i + \" save final image!\")\n",
+    "        print(i + \" i got 4 edges!!\")\n",
     "        \n",
     "    else:\n",
     "        cv2.imshow('input', image)\n",
     "        cv2.imwrite('./modified/' +i, image)\n",
-    "        print(i + \" not yet..!\")\n",
+    "        print(i + \" i don't got 4 edges!\")\n",
     "    cv2.waitKey(0)\n",
     "    cv2.destroyAllWindows()\n",
     "    win.destroy()"
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 311,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -356,11 +356,11 @@
     "        image_final = transform(image, points)\n",
     "        cv2.imshow('result', image_final)\n",
     "        cv2.imwrite('./modified/' +i, image_final)\n",
-    "        print(i + \" save thresh!\")\n",
+    "        print(i + \" i got 4 edges!!/no button\")\n",
     "    else:\n",
     "        cv2.imshow('input', image)\n",
     "        cv2.imwrite('./modified/' +i, image)\n",
-    "        print(i + \" not yet..!\")\n",
+    "        print(i + \" i don't got 4 edges!/no button\")\n",
     "    cv2.waitKey(0)\n",
     "    cv2.destroyAllWindows()\n",
     "    win.destroy()"
@@ -368,27 +368,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 312,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "max_index < 0 document.jpg\n",
+      "max_index < 0, return points \n",
       "size 0\n",
-      "0\n",
-      "document.jpg not yet..!\n",
-      "max_index < 0 receipt2.jpg\n",
-      "size 0\n",
-      "0\n",
-      "receipt2.jpg not yet..!\n",
+      "document.jpg i don't got 4 edges!\n",
+      "len of max_contour 5\n",
+      "size 4\n",
+      "[19. 70.] [121.  24.] [199. 157.] [106. 213.]\n",
+      "89.0 145.0 356.0 319.0\n",
+      "receipt2.jpg i got 4 edges!!\n",
       "len of max_contour 8\n",
       "size 4\n",
-      "4\n",
-      "[13. 48.] [149.  27.] [170. 218.] [ 36. 238.]\n",
-      "61.0 176.0 388.0 274.0\n",
-      "tilted receipt.jpg save final image!\n"
+      "[18. 45.] [138.  32.] [158. 211.] [ 39. 225.]\n",
+      "63.0 170.0 369.0 264.0\n",
+      "tilted receipt.jpg i got 4 edges!!\n"
      ]
     }
    ],
@@ -484,7 +483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 266,
+   "execution_count": 286,
    "metadata": {},
    "outputs": [
     {
@@ -494,7 +493,7 @@
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-266-d25ce1a2f34d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m#이미지 저장\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfpdf\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFPDF\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m<ipython-input-286-0a916bbbf96e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m#이미지 저장\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m##################아직 안합침################################\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfpdf\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFPDF\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'fpdf'"
      ]
     }
diff --git a/images/receipt.jpg b/receipt.jpg
similarity index 100%
rename from images/receipt.jpg
rename to receipt.jpg
-- 
GitLab