code/test_shape.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import os\n",
    "import numpy as np\n",
    "from utils import show_images\n",
    "\n",
    "# shape 模块 可以分类如下\n",
    "# class  \tcv::ShapeTransformer\n",
    "    # class  \tcv::AffineTransformer\n",
    "    # class  \tcv::ThinPlateSplineShapeTransformer\n",
    " \n",
    "# class  \tcv::HistogramCostExtractor\n",
    "    # class  \tcv::ChiHistogramCostExtractor\n",
    "    # class  \tcv::EMDHistogramCostExtractor\n",
    "    # class  \tcv::EMDL1HistogramCostExtractor\n",
    "    # class  \tcv::NormHistogramCostExtractor\n",
    " \n",
    "# class  \tcv::ShapeDistanceExtractor\n",
    "    # class  \tcv::HausdorffDistanceExtractor\n",
    "    # class  \tcv::ShapeContextDistanceExtractor\n",
    "\n",
    "def draw_points(srcimg, points):\n",
    "    result = np.zeros((srcimg.shape[0], srcimg.shape[1], 3))\n",
    "    ps = points.reshape(-1, 2)\n",
    "    for p in ps:\n",
    "        p0, p1 = int(p[0]), int(p[1])\n",
    "        result[p1-2:p1+3, p0-2:p0+3] = [0, 255, 0]\n",
    "    return result.astype(np.uint8)\n",
    "\n",
    "# **一个**轮廓 -> float32 的 points\n",
    "def make_points(contour, n=None):\n",
    "    points = contour.reshape(-1, 1, 2)\n",
    "\n",
    "    # 本来到这里就结束了，不过 OpenCV 给的示例代码有下面类似的实现\n",
    "    # 不是很清楚目的，估计为了加快速度，相当于重采样，在 contour 上选择 n 个点\n",
    "    # 但是实际使用我感觉好影响准确率，n 的值不好把握，对于大的轮廓要大，但多大不好确定\n",
    "    if n is not None:\n",
    "        np.random.shuffle(points) # 先打乱这些点\n",
    "        if points.shape[0] < n:\n",
    "            new_array = np.pad(points, ((0, n-points.shape[0]), (0, 0), (0, 0)), 'edge')\n",
    "            points = new_array\n",
    "        else:\n",
    "            points = points[:n]\n",
    "\n",
    "    return points.astype(np.float32)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6541350170764999\n",
      "0.6541350170764999\n",
      "0.6541350170764999\n",
      "0.6541350170764999\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "测试 matchShapes\n",
    "'''\n",
    "img1 = cv2.imread('./image/shape/13.png', -1)\n",
    "contours1, _ = cv2.findContours(img1, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points1 = make_points(contours1[0])\n",
    "\n",
    "img2 = cv2.imread('./image/shape/14.png', -1)\n",
    "contours2, _ = cv2.findContours(img2, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points2 = make_points(contours2[0])\n",
    "\n",
    "print(cv2.matchShapes(points1.reshape((-1, 1, 2)), points2.reshape((-1, 1, 2)), 1, 0))\n",
    "print(cv2.matchShapes(points1.astype(int), points2.astype(int), 1, 0))\n",
    "print(cv2.matchShapes(points1.reshape((1, -1, 2)), points2.reshape((1, -1, 2)), 1, 0))\n",
    "print(cv2.matchShapes(contours1[0], contours2[0], 1, 0))\n",
    "\n",
    "show_images([\n",
    "    ('img1', draw_points(img1, points1)),\n",
    "    ('img2', draw_points(img2, points2)),\n",
    "])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.png 37467664.0 151564832.0\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "Shape Distance Extractor 使用说明\n",
    "'''\n",
    "# class  \tcv::ShapeDistanceExtractor -> computeDistance\n",
    "    # class  \tcv::HausdorffDistanceExtractor\n",
    "    # class  \tcv::ShapeContextDistanceExtractor\n",
    "extractor = cv2.createShapeContextDistanceExtractor()\n",
    "\n",
    "src = cv2.imread('./image/shape/13.png', -1)\n",
    "src_contours, _ = cv2.findContours(src, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "src_points = make_points(src_contours[0], n=500)\n",
    "\n",
    "for imgname in os.listdir('./image/shape'):\n",
    "    now = cv2.imread(f'./image/shape/{imgname}', -1)\n",
    "    now_contours, _ = cv2.findContours(now, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "    now_points = make_points(now_contours[0], n=500)\n",
    "\n",
    "    # 传入的必须是 (x, 1, 2) 或 (1, x, 2) 这种 shape 的 ndarray，两个 ndarray 的 x 不强制要一样\n",
    "    result1 = extractor.computeDistance(src_points.reshape(1, -1, 2), now_points.reshape(1, -1, 2))\n",
    "    result2 = extractor.computeDistance(src_points.reshape(-1, 1, 2), now_points.reshape(-1, 1, 2))\n",
    "    print(imgname, result1, result2)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.png\n",
      "(1657, 1, 2) (590, 1, 2)\n",
      "(1682, 1682)\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "HistogramCostExtractor 使用说明\n",
    "'''\n",
    "# class  \tcv::HistogramCostExtractor -> buildCostMatrix\n",
    "    # class  \tcv::ChiHistogramCostExtractor\n",
    "    # class  \tcv::EMDHistogramCostExtractor\n",
    "    # class  \tcv::EMDL1HistogramCostExtractor\n",
    "    # class  \tcv::NormHistogramCostExtractor\n",
    "extractor = cv2.createChiHistogramCostExtractor()\n",
    "\n",
    "src = cv2.imread('./image/shape/13.png', -1)\n",
    "src_contours, _ = cv2.findContours(src, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "src_points = make_points(src_contours[0])\n",
    "\n",
    "for imgname in os.listdir('./image/shape'):\n",
    "    now = cv2.imread(f'./image/shape/{imgname}', -1)\n",
    "    now_contours, _ = cv2.findContours(now, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "    now_points = make_points(now_contours[0])\n",
    "\n",
    "    result = extractor.buildCostMatrix(src_points, now_points)\n",
    "    print(imgname)\n",
    "    print(src_points.shape, now_points.shape)\n",
    "    print(result.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "ShapeTransformer 单独使用\n",
    "'''\n",
    "img1 = cv2.imread('./image/shape/13.png', -1)\n",
    "contours1, _ = cv2.findContours(img1, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points1 = make_points(contours1[0])\n",
    "\n",
    "img2 = cv2.imread('./image/shape/14.png', -1)\n",
    "contours2, _ = cv2.findContours(img2, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points2 = make_points(contours2[0])\n",
    "\n",
    "transformer = cv2.createThinPlateSplineShapeTransformer()\n",
    "\n",
    "# 所有点都考虑，并不一定是好事情\n",
    "matches = [cv2.DMatch(i, i, 0) for i in range(points1.shape[0])]\n",
    "transformer.estimateTransformation(points1.reshape(1, -1, 2), points2.reshape(1, -1, 2), matches)\n",
    "img3 = transformer.warpImage(img2)\n",
    "\n",
    "# 采样点，采大约 100 个点\n",
    "points1 = points1[::points1.shape[0]//100]\n",
    "points2 = points2[::points2.shape[0]//100]\n",
    "matches = [cv2.DMatch(i, i, 0) for i in range(points1.shape[0])]\n",
    "# 重要：applyTransformation 和 warpImage 对 estimateTransformation 的顺序要求是翻过来的\n",
    "transformer.estimateTransformation(points2.reshape(1, -1, 2), points1.reshape(1, -1, 2), matches)\n",
    "_, points3 = transformer.applyTransformation(points2.reshape(1, -1, 2))\n",
    "transformer.estimateTransformation(points1.reshape(1, -1, 2), points2.reshape(1, -1, 2), matches)\n",
    "img4 = transformer.warpImage(img2)\n",
    "\n",
    "show_images([\n",
    "    ('img2', img2),\n",
    "    ('img1', img1),\n",
    "    ('Use all points', img3),\n",
    "    ('Use 100 points', img4),\n",
    "    ('img2 point', draw_points(img2, points2)),\n",
    "    ('img1 point', draw_points(img2, points1)),\n",
    "    ('ApplyTransformation', draw_points(img2, points3)),\n",
    "], colnum=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "ShapeTransformer 配合 ShapeDistanceExtractor 使用\n",
    "经过实验和源代码阅读：这个方法不行，applyTransformation 前必须要 estimateTransformation\n",
    "'''\n",
    "\n",
    "# class  \tcv::ShapeDistanceExtractor -> computeDistance\n",
    "    # class  \tcv::HausdorffDistanceExtractor\n",
    "    # class  \tcv::ShapeContextDistanceExtractor\n",
    "extractor = cv2.createShapeContextDistanceExtractor()\n",
    "\n",
    "img1 = cv2.imread('./image/shape/13.png', -1)\n",
    "contours1, _ = cv2.findContours(img1, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points1 = make_points(contours1[0])\n",
    "\n",
    "img2 = cv2.imread('./image/shape/14.png', -1)\n",
    "contours2, _ = cv2.findContours(img2, cv2.RETR_TREE, method=cv2.CHAIN_APPROX_NONE)\n",
    "points2 = make_points(contours2[0])\n",
    "\n",
    "# 采样点，采大约 100 个点\n",
    "points1 = points1[::points1.shape[0]//100]\n",
    "points2 = points2[::points2.shape[0]//100]\n",
    "\n",
    "# class  \tcv::ShapeTransformer\n",
    "    # class  \tcv::AffineTransformer\n",
    "    # class  \tcv::ThinPlateSplineShapeTransformer\n",
    "transformer = cv2.createThinPlateSplineShapeTransformer()\n",
    "extractor.setTransformAlgorithm(transformer)\n",
    "result = extractor.computeDistance(points2, points1)\n",
    "\n",
    "# 经过实验和源码查看；目前 computeDistance 有问题，applyTransformation 不奏效\n",
    "# 所以还是老老实实的先 estimateTransformation\n",
    "# transformer.estimateTransformation(points1.reshape(1, -1, 2), points2.reshape(1, -1, 2), matches)\n",
    "_, trans_points2 = transformer.applyTransformation(points2.reshape(1, -1, 2))\n",
    "\n",
    "show_images([\n",
    "    ('img1', draw_points(img1, points1)),\n",
    "    ('img2', draw_points(img2, points2)),\n",
    "    ('ThinPlateSplineShapeTransformer', draw_points(img2, trans_points2)),\n",
    "])\n"
   ]
  }
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