diff --git a/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..7fec51502cbc3200b3d0ffc6bbba1fe85e197f3d
--- /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 aa6048d7a9c3c5a47ab94da4532646a732f5d6da..313abaf19e2933cc1ffc3d469befa6dd80f71245 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 0000000000000000000000000000000000000000..956cbd9b30aa743e3fea875a6b9aaffd427aae97
--- /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
Binary files a/modified/receipt2.jpg and b/modified/receipt2.jpg differ
diff --git a/modified/tilted receipt.jpg b/modified/tilted receipt.jpg
index b736745a4852da42d9148b5174298aec54292ab1..2e8bc76c5dbd58373f61493124133ffbe3240f77 100644
Binary files a/modified/tilted receipt.jpg and b/modified/tilted receipt.jpg differ
diff --git a/openCV_scanner.ipynb b/openCV_scanner.ipynb
index aa6048d7a9c3c5a47ab94da4532646a732f5d6da..313abaf19e2933cc1ffc3d469befa6dd80f71245 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