Published July 13, 2019

Visualization Debugging Tool for Auto-Driving

This application can help to test self-driving model by using video. The developer also can use this tool to understand how the model works.

IntermediateProtip757

Visualization Debugging Tool for Auto-Driving

Story

The pain of testing and debugging

Testing and debugging model is one of the most time consuming part when building a self-driving RC car model. Before testing the model, I usually need to book the test filed, copy the model to the SD card, start up Donkey Car and connect my mobile phone to the Donkey Car. Each of these processes takes half an hour. Beside, it's very hard to get very useful information during the testing. We only can know if this model is driving well or not well (just to check if this car in staying in the track). It's very hard to know why it works and how it works.

Introduction of the model

The following tool takes images as input and exports a video as output. The video shows how the model makes decision based on what the camera captures at that moment. The bottom rectangle represents the predicted angle value. The left rectangle represents throttle value. By using this tool, we can easily know the performance of the model and how the model makes decisions. There are 3 benefits we can get by using this tool:

Saving time to set up testing environment

If we are not that confident about our model, we can use it as a pre-test tool before going to the real testing.

Debugging the model

Comparing with debugging in the track, this tool provides a better way to analyze why model doesn't work as we expected. After running your model in the real track, dumping all the images in Donkey Car and creating a video can help us understand where the model makes wrong decision.

Testing the model's generalization ability

Setting up a new track is pricy and time-consuming. Plus, it's not a hard thing to find the data other people collected in their track. This tool can give us a general idea about the performance of our model in the environment that this model has never been in.

Here's a demo how it works:

Implementation:

The first problem that I want to explain is how to visualize angle value and throttle value. Supposedly, we already have the angle value and throttle value, the following function shows how to draw two rectangles to do the visualization work.

def draw(img, angle, throttle, angle_size = 0.1, throttle_size = 0.1):
   # boundary check
   if abs(angle) > 1 or throttle > 1 or throttle < 0:
       print('Error input is not correct' + str(angle), '  ' +str(throttle))
       angle = throttle = 0
   if angle<0:
       print(1)
   #print(img.shape)
   y = img.shape[0]
   x = img.shape[1]
   #define color
   color_arr = [(0,0,0),(51, 153, 51),(0, 204, 0),(0, 204, 0),(102, 255, 51),(153, 255, 51),(204, 255, 51),(255, 255, 0),(255, 153, 0),(204, 51, 0),(255, 0, 0)]
   #define rectangle for angle
   ax0, ay0 , ax1 , ay1 = int(x*0.1), int(y *0.8), int(x*0.9), int(y *0.9)
   ax_length = int((ax1-ax0)/20)
   ax_central = int(ax0+10*ax_length)
   direction = -1 if angle<0 else 1
   val = abs(angle)
   idx = 1   
   while val*10 > idx:
       cv2.rectangle(img, (int(ax_central + (idx-1) *ax_length*direction) , ay0) , (int(ax_central + idx*ax_length*direction) , ay1), color_arr[idx][::-1], thickness=-1)
       idx = idx + 1
   offset = (val*10 - (idx-1) )
   if offset > 0 :
       cv2.rectangle(img, (int(ax_central + (idx-1)*ax_length*direction) , ay0) , (int(ax_central + (idx-1+offset)*ax_length*direction) , ay1), color_arr[idx][::-1], thickness=-1)
   cv2.rectangle(img, (ax0, ay0) , (ax0+20*ax_length , ay1), (255,255,255), thickness=1)
   #define rectangle for throttle
   tx0, ty0, tx1, ty1 = int(x*0.9), int(y *0.7), int(x*0.95), int(y *0.2)
   ty_length = int((ty0-ty1)/10)
   val = throttle
   idx = 1
   while val*10 > idx:
       cv2.rectangle(img, (tx0, ty0 - ((idx-1) * ty_length)) , (tx1, ty0 - (idx * ty_length) ), color_arr[idx][::-1], thickness=-1)
       idx = idx + 1   
   offset = val*10 - (idx-1) 
   if offset > 0 :
       cv2.rectangle(img, (tx0, ty0 - ((idx-1) * ty_length)) , (tx1, int(ty0 - ((idx - 1 + offset)) * ty_length) ), color_arr[idx][::-1], thickness=-1)
   cv2.rectangle(img, (tx0, ty0) , (tx1, ty0 - 10*ty_length ), (255,255,255), thickness=1)
   return img

The full process includes follow steps: loading the model; getting the prediction based on the model; drawing the rectangles.

The following pipeline function shows the full process:

def vid_pipeline(img):
   x = img
   x = np.expand_dims(img,axis=0)
   angle,throttle = model.predict(x)
   print(angle,throttle)
   return draw(img,angle,throttle)

I use "moviepy" as the lib to support in processing the images and videos:

from moviepy.editor import VideoFileClip
myclip = VideoFileClip('tub_movie.mp4').subclip(100,110)
output_vid = 'output.mp4'
clip = myclip.fl_image(vid_pipeline)
clip.write_videofile(output_vid, audio=False)

Code

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cv2\n",
    "import os\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calibration & Distortion Correction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "def undistort_img():\n",
    "    # Prepare object points 0,0,0 ... 8,5,0\n",
    "    obj_pts = np.zeros((6*9,3), np.float32)\n",
    "    obj_pts[:,:2] = np.mgrid[0:9, 0:6].T.reshape(-1,2)\n",
    "\n",
    "    # Stores all object points & img points from all images\n",
    "    objpoints = []\n",
    "    imgpoints = []\n",
    "\n",
    "    # Get directory for all calibration images\n",
    "    images = glob.glob('camera_cal/*.jpg')\n",
    "\n",
    "    for indx, fname in enumerate(images):\n",
    "        img = cv2.imread(fname)\n",
    "        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "        ret, corners = cv2.findChessboardCorners(gray, (9,6), None)\n",
    "\n",
    "        if ret == True:\n",
    "            objpoints.append(obj_pts)\n",
    "            imgpoints.append(corners)\n",
    "    # Test undistortion on img\n",
    "    img_size = (img.shape[1], img.shape[0])\n",
    "\n",
    "    # Calibrate camera\n",
    "    ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, img_size, None,None)\n",
    "\n",
    "    dst = cv2.undistort(img, mtx, dist, None, mtx)\n",
    "    # Save camera calibration for later use\n",
    "    dist_pickle = {}\n",
    "    dist_pickle['mtx'] = mtx\n",
    "    dist_pickle['dist'] = dist\n",
    "    pickle.dump( dist_pickle, open('camera_cal/cal_pickle.p', 'wb') )\n",
    "\n",
    "def undistort(img, cal_dir='camera_cal/cal_pickle.p'):\n",
    "    #cv2.imwrite('camera_cal/test_cal.jpg', dst)\n",
    "    with open(cal_dir, mode='rb') as f:\n",
    "        file = pickle.load(f)\n",
    "    mtx = file['mtx']\n",
    "    dist = file['dist']\n",
    "    dst = cv2.undistort(img, mtx, dist, None, mtx)\n",
    "    \n",
    "    return dst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "undistort_img()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Undistorted Image')"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread('camera_cal/calib.jpg')\n",
    "#dst = undistort(img)\n",
    "dst=img\n",
    "# Visualize undistortion\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,10))\n",
    "ax1.imshow(img)\n",
    "ax1.set_title('Original Image', fontsize=30)\n",
    "ax2.imshow(dst)\n",
    "ax2.set_title('Undistorted Image', fontsize=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Undistorted Image')"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread('test_images/test2.jpg')\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "dst = undistort(img)\n",
    "\n",
    "\n",
    "# Visualize undistortion\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,10))\n",
    "ax1.imshow(img)\n",
    "ax1.set_title('Original Image', fontsize=30)\n",
    "ax2.imshow(dst)\n",
    "ax2.set_title('Undistorted Image', fontsize=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pipeline and Perspective warp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pipeline(img, s_thresh=(100, 255), sx_thresh=(15, 255)):\n",
    "    #img = undistort(img)\n",
    "    img = np.copy(img)\n",
    "    # Convert to HLS color space and separate the V channel\n",
    "    hls = cv2.cvtColor(img, cv2.COLOR_RGB2HLS).astype(np.float)\n",
    "    l_channel = hls[:,:,1]\n",
    "    s_channel = hls[:,:,2]\n",
    "    h_channel = hls[:,:,0]\n",
    "    # Sobel x\n",
    "    sobelx = cv2.Sobel(l_channel, cv2.CV_64F, 1, 1) # Take the derivative in x\n",
    "    abs_sobelx = np.absolute(sobelx) # Absolute x derivative to accentuate lines away from horizontal\n",
    "    scaled_sobel = np.uint8(255*abs_sobelx/np.max(abs_sobelx))\n",
    "    \n",
    "    # Threshold x gradient\n",
    "    sxbinary = np.zeros_like(scaled_sobel)\n",
    "    sxbinary[(scaled_sobel >= sx_thresh[0]) & (scaled_sobel <= sx_thresh[1])] = 1\n",
    "    \n",
    "    # Threshold color channel\n",
    "    s_binary = np.zeros_like(s_channel)\n",
    "    s_binary[(s_channel >= s_thresh[0]) & (s_channel <= s_thresh[1])] = 1\n",
    "    \n",
    "    color_binary = np.dstack((np.zeros_like(sxbinary), sxbinary, s_binary)) * 255\n",
    "    \n",
    "    combined_binary = np.zeros_like(sxbinary)\n",
    "    combined_binary[(s_binary == 1) | (sxbinary == 1)] = 1\n",
    "    return combined_binary\n",
    "\n",
    "def perspective_warp(img, \n",
    "                     dst_size=(1280,720),\n",
    "                     src=np.float32([(0.43,0.65),(0.58,0.65),(0.1,1),(1,1)]),\n",
    "                     dst=np.float32([(0,0), (1, 0), (0,1), (1,1)])):\n",
    "    img_size = np.float32([(img.shape[1],img.shape[0])])\n",
    "    src = src* img_size\n",
    "    # For destination points, I'm arbitrarily choosing some points to be\n",
    "    # a nice fit for displaying our warped result \n",
    "    # again, not exact, but close enough for our purposes\n",
    "    dst_size = img.shape[:2][::-1]\n",
    "    print(dst_size)\n",
    "    dst = dst * np.float32(dst_size)\n",
    "    # Given src and dst points, calculate the perspective transform matrix\n",
    "    M = cv2.getPerspectiveTransform(src, dst)\n",
    "    # Warp the image using OpenCV warpPerspective()\n",
    "    warped = cv2.warpPerspective(img, M, dst_size)\n",
    "    return warped\n",
    "\n",
    "def inv_perspective_warp(img, \n",
    "                     dst_size=(1280,720),\n",
    "                     src=np.float32([(0,0), (1, 0), (0,1), (1,1)]),\n",
    "                     dst=np.float32([(0.43,0.65),(0.58,0.65),(0.1,1),(1,1)])):\n",
    "    img_size = np.float32([(img.shape[1],img.shape[0])])\n",
    "    src = src* img_size\n",
    "    # For destination points, I'm arbitrarily choosing some points to be\n",
    "    # a nice fit for displaying our warped result \n",
    "    # again, not exact, but close enough for our purposes\n",
    "    dst_size = img.shape[:2][::-1]\n",
    "    print(dst_size)\n",
    "    dst = dst * np.float32(dst_size)\n",
    "    # Given src and dst points, calculate the perspective transform matrix\n",
    "    M = cv2.getPerspectiveTransform(src, dst)\n",
    "    # Warp the image using OpenCV warpPerspective()\n",
    "    warped = cv2.warpPerspective(img, M, dst_size)\n",
    "    return warped\n",
    "\n",
    "def get_hist(img):\n",
    "    hist = np.sum(img[img.shape[0]//2:,:], axis=0)\n",
    "    return hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(160, 120)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Warped Image')"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread('test_images/test2.jpg')\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "dst = pipeline(img)\n",
    "dst = perspective_warp(dst, dst_size=(160,120))\n",
    "\n",
    "# Visualize undistortion\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,10))\n",
    "ax1.imshow(img)\n",
    "ax1.set_title('Original Image', fontsize=30)\n",
    "ax2.imshow(dst, cmap='gray')\n",
    "ax2.set_title('Warped Image', fontsize=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sliding Window Algorithm and Curve Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "left_a, left_b, left_c = [],[],[]\n",
    "right_a, right_b, right_c = [],[],[]\n",
    "\n",
    "def sliding_window(img, nwindows=9, margin=150, minpix = 1, draw_windows=True):\n",
    "    global left_a, left_b, left_c,right_a, right_b, right_c \n",
    "    left_fit_= np.empty(3)\n",
    "    right_fit_ = np.empty(3)\n",
    "    out_img = np.dstack((img, img, img))*255\n",
    "\n",
    "    histogram = get_hist(img)\n",
    "    # find peaks of left and right halves\n",
    "    midpoint = int(histogram.shape[0]/2)\n",
    "    leftx_base = np.argmax(histogram[:midpoint])\n",
    "    rightx_base = np.argmax(histogram[midpoint:]) + midpoint\n",
    "    \n",
    "    \n",
    "    # Set height of windows\n",
    "    window_height = np.int(img.shape[0]/nwindows)\n",
    "    # Identify the x and y positions of all nonzero pixels in the image\n",
    "    nonzero = img.nonzero()\n",
    "    nonzeroy = np.array(nonzero[0])\n",
    "    nonzerox = np.array(nonzero[1])\n",
    "    # Current positions to be updated for each window\n",
    "    leftx_current = leftx_base\n",
    "    rightx_current = rightx_base\n",
    "    \n",
    "    \n",
    "    # Create empty lists to receive left and right lane pixel indices\n",
    "    left_lane_inds = []\n",
    "    right_lane_inds = []\n",
    "\n",
    "    # Step through the windows one by one\n",
    "    for window in range(nwindows):\n",
    "        # Identify window boundaries in x and y (and right and left)\n",
    "        win_y_low = img.shape[0] - (window+1)*window_height\n",
    "        win_y_high = img.shape[0] - window*window_height\n",
    "        win_xleft_low = leftx_current - margin\n",
    "        win_xleft_high = leftx_current + margin\n",
    "        win_xright_low = rightx_current - margin\n",
    "        win_xright_high = rightx_current + margin\n",
    "        # Draw the windows on the visualization image\n",
    "        if draw_windows == True:\n",
    "            cv2.rectangle(out_img,(win_xleft_low,win_y_low),(win_xleft_high,win_y_high),\n",
    "            (100,255,255), 3) \n",
    "            cv2.rectangle(out_img,(win_xright_low,win_y_low),(win_xright_high,win_y_high),\n",
    "            (100,255,255), 3) \n",
    "        # Identify the nonzero pixels in x and y within the window\n",
    "        good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & \n",
    "        (nonzerox >= win_xleft_low) &  (nonzerox < win_xleft_high)).nonzero()[0]\n",
    "        good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & \n",
    "        (nonzerox >= win_xright_low) &  (nonzerox < win_xright_high)).nonzero()[0]\n",
    "        # Append these indices to the lists\n",
    "        left_lane_inds.append(good_left_inds)\n",
    "        right_lane_inds.append(good_right_inds)\n",
    "        # If you found > minpix pixels, recenter next window on their mean position\n",
    "        if len(good_left_inds) > minpix:\n",
    "            leftx_current = np.int(np.mean(nonzerox[good_left_inds]))\n",
    "        if len(good_right_inds) > minpix:        \n",
    "            rightx_current = np.int(np.mean(nonzerox[good_right_inds]))\n",
    "        \n",
    "        \n",
    "#        if len(good_right_inds) > minpix:        \n",
    "#            rightx_current = np.int(np.mean([leftx_current +900, np.mean(nonzerox[good_right_inds])]))\n",
    "#        elif len(good_left_inds) > minpix:\n",
    "#            rightx_current = np.int(np.mean([np.mean(nonzerox[good_left_inds]) +900, rightx_current]))\n",
    "#        if len(good_left_inds) > minpix:\n",
    "#            leftx_current = np.int(np.mean([rightx_current -900, np.mean(nonzerox[good_left_inds])]))\n",
    "#        elif len(good_right_inds) > minpix:\n",
    "#            leftx_current = np.int(np.mean([np.mean(nonzerox[good_right_inds]) -900, leftx_current]))\n",
    "\n",
    "\n",
    "    # Concatenate the arrays of indices\n",
    "    left_lane_inds = np.concatenate(left_lane_inds)\n",
    "    right_lane_inds = np.concatenate(right_lane_inds)\n",
    "\n",
    "    # Extract left and right line pixel positions\n",
    "    leftx = nonzerox[left_lane_inds]\n",
    "    lefty = nonzeroy[left_lane_inds] \n",
    "    rightx = nonzerox[right_lane_inds]\n",
    "    righty = nonzeroy[right_lane_inds] \n",
    "\n",
    "    \n",
    "    \n",
    "    # Fit a second order polynomial to each\n",
    "    if len(leftx)==0 or len(lefty)==0 or len(rightx)==0 or len(righty)==0:\n",
    "        print(\"that where error from\")\n",
    "        return None, (None, None), (None, None), None\n",
    "    \n",
    "    # Fit a second order polynomial to each\n",
    "    left_fit = np.polyfit(lefty, leftx, 2)\n",
    "    right_fit = np.polyfit(righty, rightx, 2)\n",
    "    \n",
    "    left_a.append(left_fit[0])\n",
    "    left_b.append(left_fit[1])\n",
    "    left_c.append(left_fit[2])\n",
    "    \n",
    "    right_a.append(right_fit[0])\n",
    "    right_b.append(right_fit[1])\n",
    "    right_c.append(right_fit[2])\n",
    "    \n",
    "    left_fit_[0] = np.mean(left_a[-10:])\n",
    "    left_fit_[1] = np.mean(left_b[-10:])\n",
    "    left_fit_[2] = np.mean(left_c[-10:])\n",
    "    \n",
    "    right_fit_[0] = np.mean(right_a[-10:])\n",
    "    right_fit_[1] = np.mean(right_b[-10:])\n",
    "    right_fit_[2] = np.mean(right_c[-10:])\n",
    "    \n",
    "    # Generate x and y values for plotting\n",
    "    ploty = np.linspace(0, img.shape[0]-1, img.shape[0] )\n",
    "    left_fitx = left_fit_[0]*ploty**2 + left_fit_[1]*ploty + left_fit_[2]\n",
    "    right_fitx = right_fit_[0]*ploty**2 + right_fit_[1]*ploty + right_fit_[2]\n",
    "\n",
    "    out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 100]\n",
    "    out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 100, 255]\n",
    "    \n",
    "    return out_img, (left_fitx, right_fitx), (left_fit_, right_fit_), ploty\n",
    "\n",
    "def get_curve(img, leftx, rightx):\n",
    "    ploty = np.linspace(0, img.shape[0]-1, img.shape[0])\n",
    "    y_eval = np.max(ploty)\n",
    "    ym_per_pix = 30.5/12 # meters per pixel in y dimension\n",
    "    xm_per_pix = 3.7/16 # meters per pixel in x dimension\n",
    "    print('im here')\n",
    "    print(ploty*ym_per_pix)\n",
    "    print(leftx*xm_per_pix)\n",
    "    \n",
    "    # Fit new polynomials to x,y in world space\n",
    "    left_fit_cr = np.polyfit(ploty*ym_per_pix, leftx*xm_per_pix, 2)\n",
    "    \n",
    "\n",
    "    right_fit_cr = np.polyfit(ploty*ym_per_pix, rightx*xm_per_pix, 2)\n",
    "    # Calculate the new radii of curvature\n",
    "    left_curverad = ((1 + (2*left_fit_cr[0]*y_eval*ym_per_pix + left_fit_cr[1])**2)**1.5) / np.absolute(2*left_fit_cr[0])\n",
    "    right_curverad = ((1 + (2*right_fit_cr[0]*y_eval*ym_per_pix + right_fit_cr[1])**2)**1.5) / np.absolute(2*right_fit_cr[0])\n",
    "\n",
    "    car_pos = img.shape[1]/2\n",
    "    l_fit_x_int = left_fit_cr[0]*img.shape[0]**2 + left_fit_cr[1]*img.shape[0] + left_fit_cr[2]\n",
    "    r_fit_x_int = right_fit_cr[0]*img.shape[0]**2 + right_fit_cr[1]*img.shape[0] + right_fit_cr[2]\n",
    "    lane_center_position = (r_fit_x_int + l_fit_x_int) /2\n",
    "    center = (car_pos - lane_center_position) * xm_per_pix / 10\n",
    "    # Now our radius of curvature is in meters\n",
    "    return (left_curverad, right_curverad, center)\n",
    "\n",
    "def draw_lanes(img, left_fit, right_fit):\n",
    "    ploty = np.linspace(0, img.shape[0]-1, img.shape[0])\n",
    "    color_img = np.zeros_like(img)\n",
    "    \n",
    "    left = np.array([np.transpose(np.vstack([left_fit, ploty]))])\n",
    "    right = np.array([np.flipud(np.transpose(np.vstack([right_fit, ploty])))])\n",
    "    points = np.hstack((left, right))\n",
    "    \n",
    "    cv2.fillPoly(color_img, np.int_(points), (0,200,255))\n",
    "    inv_perspective = inv_perspective_warp(color_img)\n",
    "    inv_perspective = cv2.addWeighted(img, 1, inv_perspective, 0.7, 0)\n",
    "    return inv_perspective\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 120)\n",
      "(120, 160)\n",
      "before get curve\n",
      "im here\n",
      "[  0.           2.54166667   5.08333333   7.625       10.16666667\n",
      "  12.70833333  15.25        17.79166667  20.33333333  22.875\n",
      "  25.41666667  27.95833333  30.5         33.04166667  35.58333333\n",
      "  38.125       40.66666667  43.20833333  45.75        48.29166667\n",
      "  50.83333333  53.375       55.91666667  58.45833333  61.\n",
      "  63.54166667  66.08333333  68.625       71.16666667  73.70833333\n",
      "  76.25        78.79166667  81.33333333  83.875       86.41666667\n",
      "  88.95833333  91.5         94.04166667  96.58333333  99.125\n",
      " 101.66666667 104.20833333 106.75       109.29166667 111.83333333\n",
      " 114.375      116.91666667 119.45833333 122.         124.54166667\n",
      " 127.08333333 129.625      132.16666667 134.70833333 137.25\n",
      " 139.79166667 142.33333333 144.875      147.41666667 149.95833333\n",
      " 152.5        155.04166667 157.58333333 160.125      162.66666667\n",
      " 165.20833333 167.75       170.29166667 172.83333333 175.375\n",
      " 177.91666667 180.45833333 183.         185.54166667 188.08333333\n",
      " 190.625      193.16666667 195.70833333 198.25       200.79166667\n",
      " 203.33333333 205.875      208.41666667 210.95833333 213.5\n",
      " 216.04166667 218.58333333 221.125      223.66666667 226.20833333\n",
      " 228.75       231.29166667 233.83333333 236.375      238.91666667\n",
      " 241.45833333 244.         246.54166667 249.08333333 251.625\n",
      " 254.16666667 256.70833333 259.25       261.79166667 264.33333333\n",
      " 266.875      269.41666667 271.95833333 274.5        277.04166667\n",
      " 279.58333333 282.125      284.66666667 287.20833333 289.75\n",
      " 292.29166667 294.83333333 297.375      299.91666667 302.45833333]\n",
      "[16.36043843 16.36915763 16.3778006  16.38636735 16.39485788 16.40327218\n",
      " 16.41161026 16.41987212 16.42805775 16.43616716 16.44420034 16.4521573\n",
      " 16.46003804 16.46784255 16.47557084 16.48322291 16.49079875 16.49829837\n",
      " 16.50572176 16.51306894 16.52033988 16.52753461 16.5346531  16.54169538\n",
      " 16.54866143 16.55555126 16.56236487 16.56910225 16.5757634  16.58234834\n",
      " 16.58885705 16.59528953 16.60164579 16.60792583 16.61412964 16.62025724\n",
      " 16.6263086  16.63228375 16.63818266 16.64400536 16.64975183 16.65542208\n",
      " 16.6610161  16.6665339  16.67197548 16.67734083 16.68262996 16.68784287\n",
      " 16.69297955 16.69804001 16.70302424 16.70793225 16.71276404 16.7175196\n",
      " 16.72219894 16.72680206 16.73132895 16.73577962 16.74015406 16.74445228\n",
      " 16.74867428 16.75282005 16.7568896  16.76088292 16.76480002 16.7686409\n",
      " 16.77240556 16.77609399 16.77970619 16.78324218 16.78670193 16.79008547\n",
      " 16.79339278 16.79662387 16.79977873 16.80285737 16.80585979 16.80878598\n",
      " 16.81163595 16.81440969 16.81710722 16.81972851 16.82227359 16.82474244\n",
      " 16.82713506 16.82945147 16.83169164 16.8338556  16.83594333 16.83795484\n",
      " 16.83989012 16.84174918 16.84353202 16.84523863 16.84686902 16.84842318\n",
      " 16.84990112 16.85130284 16.85262834 16.8538776  16.85505065 16.85614747\n",
      " 16.85716807 16.85811245 16.8589806  16.85977252 16.86048823 16.86112771\n",
      " 16.86169096 16.862178   16.8625888  16.86292339 16.86318175 16.86336389\n",
      " 16.8634698  16.86349949 16.86345296 16.8633302  16.86313122 16.86285601]\n",
      "after get curve\n",
      "(84751.38717608932, 84751.38717608932, 1.4640681708666299)\n",
      "(160, 120)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x12ae1ff28>"
      ]
     },
     "execution_count": 136,
     "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": [
    "#%matplotlib gtk\n",
    "out_img, curves, lanes, ploty = sliding_window(dst)\n",
    "#plt.imshow(out_img)\n",
    "#plt.plot(curves[0], ploty, color='yellow', linewidth=1)\n",
    "#plt.plot(curves[1], ploty, color='yellow', linewidth=1)\n",
    "print(np.asarray(curves).shape)\n",
    "dst_size = img.shape[:2]\n",
    "print(dst_size)\n",
    "print('before get curve')\n",
    "curverad=get_curve(img, curves[0],curves[1])\n",
    "print('after get curve')\n",
    "print(curverad)\n",
    "img_ = draw_lanes(img, curves[0], curves[1])\n",
    "plt.imshow(img_, cmap='hsv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 7200x1440 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(1, 5, figsize=(100, 20))\n",
    "#f.tight_layout()\n",
    "ax1.imshow(img)\n",
    "ax1.set_title('Original', fontsize=100)\n",
    "ax2.imshow(dst)\n",
    "ax2.set_title('Filter+Perspective Tform', fontsize=100)\n",
    "ax3.imshow(out_img)\n",
    "ax3.plot(curves[0], ploty, color='yellow', linewidth=30)\n",
    "ax3.plot(curves[1], ploty, color='yellow', linewidth=30)\n",
    "ax3.set_title('Sliding window+Curve Fit', fontsize=100)\n",
    "ax4.imshow(img_)\n",
    "\n",
    "ax4.set_title('Overlay Lanes', fontsize=100)\n",
    "plt.subplots_adjust(left=0., right=1, top=0.9, bottom=0.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Video Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def vid_pipeline(img):\n",
    "    global running_avg\n",
    "    global index\n",
    "    img_ = pipeline(img)\n",
    "    img_ = perspective_warp(img_)\n",
    "    out_img, curves, lanes, ploty = sliding_window(img_, draw_windows=False)\n",
    "\n",
    "    if ploty is None:\n",
    "        font = cv2.FONT_HERSHEY_SIMPLEX\n",
    "        fontColor = (0, 0, 0)\n",
    "        fontSize=0.5\n",
    "        cv2.putText(img, 'error frame', (80, 20), font, fontSize, fontColor, 2)\n",
    "        return img\n",
    "    \n",
    "    curverad =get_curve(img, curves[0], curves[1])\n",
    "    lane_curve = np.mean([curverad[0], curverad[1]])\n",
    "    img = draw_lanes(img, curves[0], curves[1])\n",
    "    \n",
    "    font = cv2.FONT_HERSHEY_SIMPLEX\n",
    "    fontColor = (0, 0, 0)\n",
    "    fontSize=0.5\n",
    "    cv2.putText(img, 'Lane Curvature: {:.0f} m'.format(lane_curve), (570, 620), font, fontSize, fontColor, 2)\n",
    "    cv2.putText(img, 'Vehicle offset: {:.4f} m'.format(curverad[2]), (570, 650), font, fontSize, fontColor, 2)\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "right_curves, left_curves = [],[]\n",
    "from moviepy.editor import VideoFileClip\n",
    "\n",
    "#myclip = VideoFileClip('project_video.mp4')#.subclip(40,43)\n",
    "myclip = VideoFileClip('tub_movie.mp4')#.subclip(40,43)\n",
    "output_vid = 'output.mp4'\n",
    "output_vid = 'output.mp4'\n",
    "clip = myclip.fl_image(vid_pipeline)\n",
    "clip.write_videofile(output_vid, audio=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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Credits

Weiyu Peng

24 projects • 11 followers

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Visualization Debugging Tool for Auto-Driving

Visualization Debugging Tool for Auto-Driving

Story

The pain of testing and debugging

Introduction of the model

Code

Code

Credits

Weiyu Peng

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