nbren12/bounding box with open cv.ipynb

## bounding box with open cv.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e8a3ddcd-78d5-469a-a306-adaf971d3ec8",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "521a0008-be10-45e5-9bd3-c63d7a19901d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fc89d586-31ad-4bd5-97f3-4b1115507b8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "im = cv2.imread(\"/Users/noahb/Downloads/750.png\")\n",
    "im = cv2.imread(\"sample_data/701.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5cde7886-5adf-4599-8655-c29d949b29ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fee3016d0d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5555c832-6892-49e2-90de-f0c1c9f230f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import src.find_graphics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3977cc2a-5190-4b4d-8498-c1dc50314b49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fee619f97d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "images = dict(src.find_graphics.iter_patches(im))\n",
    "\n",
    "chart = src.find_graphics.find_piechart(images)\n",
    "patch_bboxes = src.find_graphics.find_swatches(images)\n",
    "\n",
    "plt.imshow(images[chart])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a39908f-a200-4931-b828-59e842095d76",
   "metadata": {},
   "source": [
    "The heuristics find the swatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "57ebc9d6-4392-4095-bfba-73cc4822db69",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for bbox in patch_bboxes:\n",
    "    plt.figure()\n",
    "    plt.imshow(images[bbox])"
   ]
  }
 ],
 "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": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}