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4 files changed

+29
-45
lines changed

‎image_proc01.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"text": [
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"hsv -> 104 114 112\n"
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"hsv -> 0 0 0\n"
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‎image_proc02.ipynb

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"This is a follow up and advancement of the first tutorial on image processing. \n",
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"\n",
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"#### Disclaimer:\n",
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"If by following this second tutorial you feel like:\n",
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"\n",
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"<img src=\"data/wtf.gif\" width=\"500\">\n",
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"\n",
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"You can always refer to **the first tutorial** anytime.\n",
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"\n",
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"But if you have understood all that was described in the first, **congrats on your first research!**\n",
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"\n",
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"<img src=\"data/research.gif\" width=\"500\">"
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]
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},
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [

‎image_proc03.ipynb

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"outputs": [],
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"source": [
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"def euclidean_distance(x,y):\n",
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" eud = math.sqrt((x[0]-y[0])**2 + (x[1]-y[1])**2)\n",
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" return eud"
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" eud = math.sqrt((x[0]-y[0])**2 + (x[1]-y[1])**2)\n",
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" return eud"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "1441a0e2-c044-4550-9f1f-1fe900bb3b0c",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 6,
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"id": "b228ba22-f80d-423c-b95b-5d12e1fb316c",
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"metadata": {},
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"outputs": [
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"82.81924421854173"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "8883e4db-acc0-4d5c-85db-e864757f4b5d",
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"metadata": {},
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"outputs": [
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{
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"ename": "AttributeError",
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"evalue": "'NoneType' object has no attribute 'shape'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_271863/4086475475.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'samples/obt.png'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;31m#im = cv2.resize(im, (600,480))\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mheight\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mim_cx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mim_cy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mheight\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim_cx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mim_cy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'shape'"
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"319 238\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"113"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
@@ -200,7 +206,7 @@
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"res = cv2.GaussianBlur(res, (1,1), 0)\n",
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"res_gray = cv2.cvtColor(res, cv2.COLOR_BGR2GRAY)\n",
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"_, threshold = cv2.threshold(res_gray, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)\n",
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"_, contours, _ = cv2.findContours(threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)\n",
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"contours, _ = cv2.findContours(threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)\n",
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"min_area = 30**2\n",
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"for contour in contours:\n",
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" area = cv2.contourArea(contour)\n",
@@ -257,33 +263,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 8,
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"id": "ccb6f227-8abb-4975-99dc-1da2ba06e729",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[ WARN:0] global /tmp/pip-req-build-h45n7_hz/opencv/modules/videoio/src/cap_v4l.cpp (890) open VIDEOIO(V4L2:/dev/video0): can't open camera by index\n"
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]
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},
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{
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"ename": "AttributeError",
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"evalue": "'NoneType' object has no attribute 'shape'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_271863/154838433.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mwhile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misOpened\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mheight\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mim_cx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mim_cy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mheight\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'shape'"
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]
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}
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],
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"outputs": [],
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"source": [
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"cap = cv2.VideoCapture(0)\n",
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"cap.set(cv2.CAP_PROP_FRAME_WIDTH, 2000)\n",
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"cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2000)\n",
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"# cap.set(cv2.CAP_PROP_FRAME_WIDTH, 2000)\n",
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"# cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2000)\n",
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"min_area = 50**2\n",
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"while(cap.isOpened):\n",
289276
" _,frame = cap.read()\n",

‎samples/obt.png

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