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working fine for trajectory with crash at end
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+35
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object_track.ipynb

Lines changed: 35 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -31,33 +31,45 @@
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},
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"outputs": [],
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"source": [
34-
"def process_image(im):\n",
35-
" image, contours, hier = cv2.findContours(im, cv2.RETR_TREE,\n",
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" cv2.CHAIN_APPROX_SIMPLE)\n",
37-
"\n",
38-
" # with each contour, draw boundingRect in green\n",
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" # a minAreaRect in red and\n",
40-
" # a minEnclosingCircle in blue\n",
41-
" for c in contours:\n",
34+
"greenLower = (29, 86, 6)\n",
35+
"greenUpper = (64, 255, 255)\n",
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" \n",
37+
"# initialize the list of tracked points, the frame counter,\n",
38+
"# and the coordinate deltas\n",
39+
"pts = deque(maxlen=20)\n",
40+
"counter = 0\n",
41+
"(dX, dY) = (0, 0)\n",
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"direction = \"\"\n",
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"filename = 'test_sample2.avi'\n",
44+
"vid = imageio.get_reader(filename, 'ffmpeg')\n",
45+
"count = 0\n",
46+
"for num in range(vid.get_length()):\n",
47+
" try:\n",
48+
" img = vid.get_data(num)\n",
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" \n",
43-
" # get the bounding rect\n",
44-
" x, y, w, h = cv2.boundingRect(c)\n",
50+
" img = cv2.resize(img,(1000,600))\n",
51+
" gray_image = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n",
52+
" _,im = cv2.threshold(gray_image,220,1,cv2.THRESH_BINARY+cv2.THRESH_OTSU)\n",
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" \n",
46-
" # draw a green rectangle to visualize the bounding rect\n",
47-
" cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)\n",
54+
" image, cnts, hier = cv2.findContours(im,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)\n",
55+
" center = None\n",
56+
" for c in cnts:\n",
57+
" x, y, w, h = cv2.boundingRect(c)\n",
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"\n",
49-
" # get the min area rect\n",
50-
" rect = cv2.minAreaRect(c)\n",
51-
" box = cv2.boxPoints(rect)\n",
52-
" \n",
53-
" # convert all coordinates floating point values to int\n",
54-
" box = np.int0(box)\n",
55-
" \n",
56-
" # draw a red 'nghien' rectangle\n",
57-
" cv2.drawContours(img, [box], 0, (0, 0, 255))\n",
59+
" # draw a green rectangle to visualize the bounding rect\n",
60+
" cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)\n",
61+
"\n",
62+
" # get the min area rect\n",
63+
" rect = cv2.minAreaRect(c)\n",
64+
" box = cv2.boxPoints(rect)\n",
65+
"\n",
66+
" # convert all coordinates floating point values to int\n",
67+
" box = np.int0(box)\n",
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"\n",
59-
" cv2.drawContours(img, contours, -1, (255, 255, 0), 1)\n",
60-
" return img\n"
69+
" # draw a red 'nghien' rectangle\n",
70+
" cv2.drawContours(img, [box], 0, (0, 0, 255))\n",
71+
" # only proceed if at least one contour was found\n",
72+
"\n"
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]
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},
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{

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