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Update Autonomous driving application - Car detection - v1.ipynb #3

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Update Autonomous driving application - Car detection - v1.ipynb #3

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d6dfe85
Update Autonomous driving application - Car detection - v1.ipynb
cseas Apr 7, 2019
b6f87c9
Update io() exercise with latest version
cseas Apr 7, 2019
d19a93e
Fix formatting in iou()
cseas Apr 7, 2019
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11 changes: 6 additions & 5 deletions Autonomous driving application - Car detection - v1.ipynb
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Expand Up @@ -373,6 +373,7 @@
" - xi2 = minimum of the x2 coordinates of the two boxes\n",
" - yi2 = minimum of the y2 coordinates of the two boxes\n",
" \n",
"- In order to compute the intersection area, you need to make sure the height and width of the intersection are positive, otherwise the intersection area should be zero. Use max(height, 0) and max(width, 0).\n\n",
"In this code, we use the convention that (0,0) is the top-left corner of an image, (1,0) is the upper-right corner, and (1,1) the lower-right corner. "
]
},
Expand All @@ -396,11 +397,11 @@
"\n",
" # Calculate the (y1, x1, y2, x2) coordinates of the intersection of box1 and box2. Calculate its Area.\n",
" ### START CODE HERE ### (≈ 5 lines)\n",
" xi1 = np.max([box1[0], box2[0]])\n",
" yi1 = np.max([box1[1], box2[1]])\n",
" xi2 = np.min([box1[2], box2[2]])\n",
" yi2 = np.min([box1[3], box2[3]])\n",
" inter_area = (yi2 - yi1) * (xi2 - xi1)\n",
" xi1 = max(box1[0], box2[0])\n",
" yi1 = max(box1[1], box2[1])\n",
" xi2 = min(box1[2], box2[2])\n",
" yi2 = min(box1[3], box2[3])\n",
" inter_area = max((yi2 - yi1), 0) * max((xi2 - xi1), 0)\n",
" ### END CODE HERE ### \n",
"\n",
" # Calculate the Union area by using Formula: Union(A,B) = A + B - Inter(A,B)\n",
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