{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# **寻找道路上的车道线** \n", "***\n", "在此项目中,您将使用在课程中学到的知识来识别道路上的车道线。您可以在一系列单独的图像上开发,然后应用于视频流(实际上只是一系列图像)。\n", "\n", "需要安装额外的库: conda install -c conda-forge moviepy\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**步骤包括感兴趣区域选择,灰度,高斯平滑,Canny边缘检测和Hough Tranform线检测。**\n", "\n", "---\n", "\n", "
\n", " \"Combined\n", "
\n", "

\n", "

车道线线段

\n", "
\n", "
\n", "

\n", "
\n", " \"Combined\n", "
\n", "

\n", "

外推后的车道线

\n", "
\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# 导入工具库\n", "import matplotlib.pyplot as plt\n", "import matplotlib.image as mpimg\n", "import numpy as np\n", "import cv2\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This image is: with dimesions: (540, 960, 3)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#读入图像\n", "image = mpimg.imread('test_images/solidWhiteRight.jpg')\n", "#输出图像特征,显示图像\n", "print('This image is:', type(image), 'with dimesions:', image.shape)\n", "plt.imshow(image) " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import math\n", "\n", "def grayscale(img):\n", " \"\"\"灰度变换\"\"\"\n", " return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n", " # Or use BGR2GRAY if you read an image with cv2.imread()\n", " # return cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", " \n", "def canny(img, low_threshold, high_threshold):\n", " \"\"\"边缘检测\"\"\"\n", " return cv2.Canny(img, low_threshold, high_threshold)\n", "\n", "def gaussian_blur(img, kernel_size):\n", " \"\"\"高斯去燥\"\"\"\n", " return cv2.GaussianBlur(img, (kernel_size, kernel_size), 0)\n", "\n", "def median_blur(img, kernel_size): \n", " \"\"\"中值去燥\"\"\"\n", " return cv2.medianBlur(img, kernel_size)\n", " \n", "def region_of_interest(img, vertices):\n", " \"\"\"\n", " 图像蒙版.\n", " \"\"\"\n", " #定义一个蒙版, 所有值都为0\n", " mask = np.zeros_like(img) \n", " \n", " #根据输入图像的通道数, 设置色彩\n", " if len(img.shape) > 2:\n", " channel_count = img.shape[2] \n", " ignore_mask_color = (255,) * channel_count\n", " else:\n", " ignore_mask_color = 255\n", " \n", " #使用色彩填充vertices构成的多边形 \n", " cv2.fillPoly(mask, vertices, ignore_mask_color)\n", " \n", " #执行蒙版操作\n", " masked_image = cv2.bitwise_and(img, mask)\n", " return masked_image\n", "\n", "def draw_lines(img, lines, color=[255, 0, 0], thickness=2):\n", " \"\"\"\n", " 画线段\n", " \"\"\"\n", " for line in lines:\n", " for x1,y1,x2,y2 in line:\n", " cv2.line(img, (x1, y1), (x2, y2), color, thickness)\n", "\n", "def get_y_intercept(lane_lines, slopes):\n", " \"\"\"\n", " 根据输入的线段和斜率, 计算y方向的截距和平均斜率\n", " \"\"\"\n", " \n", " slopes = slopes[~np.isnan(slopes)]\n", " slopes = slopes[~np.isinf(slopes)]\n", " avg_slope = slopes.mean()\n", " lane_lines = lane_lines.reshape((lane_lines.shape[0]*2, lane_lines.shape[1]//2))\n", " x_mean, y_mean = np.mean(lane_lines, axis=0)\n", " return y_mean - (x_mean*avg_slope), avg_slope\n", "\n", "def get_x_intercepts(y_1, y_2, slope, b):\n", " \"\"\"\n", " 根据斜率和截距, 计算对应y值的x\n", " \"\"\"\n", " if not (~np.isnan(slope) and ~np.isnan(b)):\n", " x_1 = x_2 = 0.0\n", " else:\n", " x_1 = (y_1 - b)/slope\n", " x_2 = (y_2 - b)/slope\n", " return x_1, x_2\n", "\n", "prev_left_x1 = 0\n", "prev_left_x2 = 0\n", "prev_right_x1 = 0 \n", "prev_right_x2 = 0 \n", "prev_left_avg_m = 0\n", "prev_right_avg_m = 0\n", "pev_left_avg_m = -1\n", "prev_right_avg_m = 1\n", "prev_left_b = 0\n", "prev_right_b = 0\n", "prev_left_line = 0\n", "prev_right_line = 0\n", "\n", "def draw_lines_extrapolated(img, lines, color=[255, 0, 0], thickness=10):\n", " imgshape = img.shape\n", " lines = lines.reshape((lines.shape[0], lines.shape[2]))\n", " y_min = lines.reshape((lines.shape[0]*2, lines.shape[1]//2))[:,1].min()\n", " \n", " # slope= ( y2 - y1 )/( x2 - x1 ) \n", " slopes = (lines[:,3] - lines[:,1])/(lines[:,2] - lines[:,0])\n", " slopes = slopes[~np.isinf(slopes)]\n", " slopes = slopes[~np.isnan(slopes)]\n", " left_lines = lines[slopes < -0.5] # 左边的行车道斜率为负\n", " right_lines= lines[slopes > 0.5] # 右边的行车道斜率为正\n", " left_slopes = slopes[slopes < -0.5]\n", " right_slopes= slopes[slopes > 0.5]\n", " \n", " global prev_left_avg_m \n", " global prev_right_avg_m \n", " global prev_left_b\n", " global prev_right_b\n", " \n", " left_b, left_avg_m = get_y_intercept(left_lines, left_slopes)\n", " right_b, right_avg_m = get_y_intercept(right_lines, right_slopes)\n", "\n", " keep_prev_left = False\n", " keep_prev_right = False\n", " \n", " if left_avg_m < -0.83 or left_avg_m > -0.36:\n", " left_avg_m = prev_left_avg_m\n", " left_b = prev_left_b\n", " keep_prev_left = True\n", " if right_avg_m > 0.83 or right_avg_m < 0.36:\n", " right_avg_m = prev_right_avg_m\n", " right_b = prev_right_b\n", " keep_prev_right = True\n", " \n", " prev_left_avg_m = left_avg_m \n", " prev_right_avg_m = right_avg_m\n", " prev_left_b = left_b\n", " prev_right_b = right_b\n", " \n", " # 根据斜率和截距, 计算对应y值的x\n", " left_x1, left_x2 = get_x_intercepts(y_1=y_min, y_2=imgshape[0], slope=left_avg_m, b=left_b)\n", " right_x1, right_x2 = get_x_intercepts(y_1=y_min, y_2=imgshape[0], slope=right_avg_m, b=right_b)\n", " \n", " ## 求累积平均值 ##\n", " global prev_left_x1\n", " global prev_left_x2\n", " global prev_right_x1 \n", " global prev_right_x2 \n", "\n", " if prev_left_x1 != 0 or prev_left_x2 != 0 or prev_right_x1 != 0 or prev_right_x2 !=0:\n", " alpha = 0.2\n", " left_x1_new = math.floor((alpha)*left_x1 + (1-alpha)*prev_left_x1)\n", " left_x2_new = math.floor((alpha)*left_x2 + (1-alpha)*prev_left_x2)\n", " right_x1_new = math.floor((alpha)*right_x1 + (1-alpha)*prev_right_x1)\n", " right_x2_new = math.floor((alpha)*right_x2 + (1-alpha)*prev_right_x2)\n", " prev_left_x1 = left_x1_new\n", " prev_left_x2 = left_x2_new\n", " prev_right_x1 = right_x1_new\n", " prev_right_x2 = right_x2_new\n", " else:\n", " left_x1_new = left_x1\n", " left_x2_new = left_x2\n", " right_x1_new = right_x1\n", " right_x2_new = right_x2\n", " prev_left_x1 = left_x1_new\n", " prev_left_x2 = left_x2_new\n", " prev_right_x1 = right_x1_new\n", " prev_right_x2 = right_x2_new\n", "\n", " left_line = np.array([left_x1_new, y_min, left_x2_new, imgshape[0]], dtype=np.int32)\n", " right_line = np.array([right_x1_new, y_min, right_x2_new, imgshape[0]], dtype=np.int32)\n", " \n", " if keep_prev_left:\n", " left_line = prev_left_line\n", " left_x1_new = prev_left_x1\n", " left_x2_new = prev_left_x2\n", " if keep_prev_right:\n", " right_line = prev_right_line\n", " right_x1_new = prev_right_x1\n", " right_x2_new = prev_right_x2\n", " \n", " cv2.line(img, (int(left_x1_new), int(y_min)), (int(left_x2_new), imgshape[0]), color, thickness)\n", " cv2.line(img, (int(right_x1_new), int(y_min)), (int(right_x2_new), imgshape[0]), color, thickness) \n", " \n", " ## 求累积平均值结束 ##\n", " \n", " \n", "def hough_lines(img, rho, theta, threshold, min_line_len, max_line_gap, extrapolate=False):\n", " \"\"\"\n", " `img` Canny边缘检测的输出.\n", " `rho` = Hough Grid中像素的距离\n", " `theta` = Hough grid中角度的距离\n", " `threshold` = 最小的voting数值\n", " `min_line_len` = 构成一条线的最小像素个数\n", " `max_line_gap` = 可以相连的线段之间的最大距离\n", " 返回黑背景上面有白线的图.\n", " \"\"\" \n", " lines = cv2.HoughLinesP(img, rho, theta, threshold, np.array([]), minLineLength=min_line_len, maxLineGap=max_line_gap)\n", " line_img = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)\n", " if not extrapolate:\n", " draw_lines(line_img, lines)\n", " elif extrapolate:\n", " draw_lines_extrapolated(line_img, lines)\n", " \n", " return line_img\n", "\n", "\n", "def weighted_img(img, initial_img, a=0.8, b=1.):\n", " \"\"\"\n", " `img` hough_lines()的输出, 黑背景上面有白线的图.\n", " \n", " `initial_img` 原始图像.\n", " \n", " 加权相加:\n", " \n", " initial_img * a + img * b \n", " \"\"\"\n", " return cv2.addWeighted(initial_img, a, img, b, 0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 在图像上面测试\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['challenge-area-1.png',\n", " 'solidYellowCurve.jpg',\n", " 'challenge-area.png',\n", " 'solidYellowLeft.jpg',\n", " 'solidYellowCurve2.jpg',\n", " 'solidWhiteRight.jpg',\n", " 'whiteCarLaneSwitch.jpg',\n", " 'solidWhiteCurve.jpg']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os\n", "os.listdir(\"test_images/\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### solidWhiteCurve.jpg " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "img = mpimg.imread('test_images/solidWhiteCurve.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=20)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "weighted_img() got an unexpected keyword argument 'α'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n\u001b[1;32m 3\u001b[0m min_line_len=60, max_line_gap=20, extrapolate=True)\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mimg_lanes_extrapolated\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mweighted_img\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mimg_hough_lines_extrapolated\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minitial_img\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mα\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mβ\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mλ\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg_lanes_extrapolated\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mTypeError\u001b[0m: weighted_img() got an unexpected keyword argument 'α'" ] } ], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=20, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a =0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### solidWhiteRight.jpg " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = mpimg.imread('test_images/solidWhiteRight.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=40)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=40, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### solidYellowCurve.jpg" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = mpimg.imread('test_images/solidYellowCurve.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=30)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=60, max_line_gap=30, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### solidYellowCurve2.jpg" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = mpimg.imread('test_images/solidYellowCurve2.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=60,\n", " min_line_len=60, max_line_gap=30)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=60,\n", " min_line_len=60, max_line_gap=30, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### solidYellowLeft.jpg" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = mpimg.imread('test_images/solidYellowLeft.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=60, \n", " min_line_len=60, max_line_gap=30)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=60, \n", " min_line_len=60, max_line_gap=30, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### whiteCarLaneSwitch.jpg" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = mpimg.imread('test_images/whiteCarLaneSwitch.jpg')\n", "img_shape= img.shape\n", "img_gray = grayscale(img)\n", "img_blur = gaussian_blur(img_gray, kernel_size=5)\n", "img_edge = canny(img_blur, low_threshold=50, high_threshold=150)\n", "vertices = np.array([[(0,img_shape[0]),(425, 315), (540, 315), (img_shape[1],img_shape[0])]], \\\n", " dtype=np.int32)\n", "img_masked_edges = region_of_interest(img_edge, vertices)\n", "img_hough_lines = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=80,\n", " min_line_len=60, max_line_gap=30)\n", "img_lanes = weighted_img(img=img_hough_lines, initial_img=img, a=0.8, b=1.)\n", "\n", "plt.imshow(img_lanes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Extrapolated lines\n", "img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=80,\n", " min_line_len=60, max_line_gap=30, extrapolate=True)\n", "img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=img, a=0.8, b=1.)\n", "plt.imshow(img_lanes_extrapolated)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test on Videos\n", "\n", "You know what's cooler than drawing lanes over images? Drawing lanes over video!\n", "\n", "We can test our solution on two provided videos:\n", "\n", "`solidWhiteRight.mp4`\n", "\n", "`solidYellowLeft.mp4`" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Import everything needed to edit/save/watch video clips\n", "from moviepy.editor import VideoFileClip\n", "from IPython.display import HTML" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def process_image(image):\n", " # NOTE: The output you return should be a color image (3 channel) for processing video below\n", " # TODO: put your pipeline here,\n", " # you should return the final output (image with lines are drawn on lanes)\n", " img_shape= image.shape\n", " img_gray = grayscale(image)\n", " \n", " \n", " img_blur = gaussian_blur(img_gray, kernel_size=5)\n", " img_edge = canny(img_gray, low_threshold=50, high_threshold=100)\n", " # For challenge video, use different parameters below\n", " #img_blur = gaussian_blur(img_gray, kernel_size=3) # for challenge video\n", " #img_edge = canny(img_blur, low_threshold=5, high_threshold=170) # for challenge video \n", "\n", " \n", " # to make this function moregeneral, I am using % of height and width of each video frame,\n", " # rather than using explicit vertices that I used while processing images above \n", " vertices = np.array([[(img_shape[1]*0.20,img_shape[0]),(img_shape[1]*0.40, img_shape[0]*0.60), \n", " (img_shape[1]*0.55, img_shape[0]*0.60), (img_shape[1],img_shape[0])]], dtype=np.int32)\n", " # For challenge video, use different parameters below \n", " #vertices = np.array([[(img_shape[1]*0.10,img_shape[0]),(img_shape[1]*0.40, img_shape[0]*0.60), \n", " # (img_shape[1]*0.55, img_shape[0]*0.60), (img_shape[1],img_shape[0])]], dtype=np.int32)\n", " \n", " \n", " img_masked_edges = region_of_interest(img_edge, vertices)\n", " \n", " \n", " # Update the parameters in hough_lines to make it work on all videos\n", " img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=1, theta=np.pi/180, threshold=40,\n", " min_line_len=10, max_line_gap=70, extrapolate=True)\n", " # For Challenge video, use different paremeters below \n", " #img_hough_lines_extrapolated = hough_lines(img_masked_edges, rho=0.5, theta=np.pi/360, threshold=8,\n", " # min_line_len=5, max_line_gap=150, extrapolate=True)\n", " \n", " img_lanes_extrapolated = weighted_img(img=img_hough_lines_extrapolated, initial_img=image, a=0.8, b=1.)\n", "\n", " return img_lanes_extrapolated" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 测试视频上的检测效果" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "white_output = 'white.mp4'\n", "clip1 = VideoFileClip(\"solidWhiteRight.mp4\")\n", "white_clip = clip1.fl_image(process_image) #NOTE: this function expects color images!!\n", "%time white_clip.write_videofile(white_output, audio=False)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## 测试弯道上面的检测效果" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "challenge_output = 'extra.mp4'\n", "clip2 = VideoFileClip('challenge.mp4')\n", "challenge_clip = clip2.fl_image(process_image)\n", "%time challenge_clip.write_videofile(challenge_output, audio=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "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": "3.6.8" }, "widgets": { "state": {}, "version": "1.1.2" } }, "nbformat": 4, "nbformat_minor": 1 }