Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/manual_video_analysis.py @ 884:ac4bcbcc9cda

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added manual data collection script, thanks Philip Morse!
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Fri, 17 Mar 2017 17:52:19 -0400
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children 7f61854fcc6d
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883:5852a3cdd455 884:ac4bcbcc9cda
1 #! /usr/bin/env python
2
3 import sys, argparse, cv2
4
5 parser = argparse.ArgumentParser(description='The program replays the video and allows to manually id vehicles and mark instants, eg when they cross given areas in the scene.')
6 parser.add_argument('-i', dest = 'videoFilename', help = 'name of the video file', required = True)
7 parser.add_argument('-f', dest = 'firstFrameNum', help = 'number of first frame number to display', default = 0, type = int)
8
9 #Place this program in the same folder as the video you want to analyze
10 #Use this program in combination with a screen marker program (For example, Presentation Assistant) to draw multiple lines on the screen
11 #Press the "New vehicle" key (u) when a vehicle touches the first line. This will start a new line in the csv file and record the first frame number.
12 #Press the "Next line" key (i) when the same vehicle touches every line except the first one, in order. This will record the subsequent frame numbers.
13 #Press the SKIP key (o) when you make a mistake in the input. This will write SKIP in the csv file so that you can easily identify where you should remove the line
14 #The output should give you a .csv file with the same name as your video file with columns in this format:
15 #vehicle number, frame number at first line, frame number at second line, frame number at third line, etc...
16 #You can easily spot mistakes in the csv file if the number of columns is wrong for a specific line, or you see a SKIP in a line. If this happens, just delete the row.
17
18 #You can change the .mp4 to something else if your video files are in a different format
19 #videoFilename = raw_input("Please Type in the video filename\n")
20
21 args = parser.parse_args()
22 cap = cv2.VideoCapture(args.videoFilename)
23 i = args.videoFilename.rfind('.')
24 if i>0:
25 outputFilename = args.videoFilename[:i]+'.csv'
26 else:
27 outputFilename = args.videoFilename+'.csv'
28 vehNumber = 0
29 out = open(outputFilename, 'a')
30
31 print ("Commands:\nu: New Vehicle crossing the first line\ni: Vehicle crossing subsequent lines\no: Press o when you make a mistake in input\nd: Skip 100 frames\ns: Skip 10 frames\nc: Go back 100 frames\nx: Go back 10 frames\nSpacebar: Go forward one frame\nl: Skip to frame number\nq: Quit and end program")
32 while(cap.isOpened()):
33 ret, frame = cap.read()
34 frame_no = int(cap.get(cv2.cv.CV_CAP_PROP_POS_FRAMES))
35 #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
36
37 cv2.imshow('frame',frame)
38
39 key= cv2.waitKey(0)
40 #Change the keys to record the vehicle in this section
41 if key == ord('q'):
42 break
43 if key == ord('u'):
44 out.write('\n'+str(vehNumber)+','+str(frame_no)+',')
45 vehNumber+=1
46 print('New Vehicle')
47 line_number = 0
48 if key == ord('i'):
49 out.write(str(frame_no)+',')
50 line_number = line_number+1
51 print('Line number '+str(line_number))
52 if key == ord('o'):
53 out.write('SKIP')
54 print('SKIPPED')
55 #Change the number of frames skipped or the keys in this section
56 elif key == ord('d'):
57 cap.set(1,frame_no+100)
58 elif key == ord('s'):
59 cap.set(1,frame_no+10)
60 elif key == ord('a'):
61 cap.set(1,frame_no+1)
62 elif key == ord('x'):
63 cap.set(1,frame_no-10)
64 elif key == ord('c'):
65 cap.set(1,frame_no-100)
66 elif key == ord('l'):
67 frame_no = int(input("Please enter the frame number you would like to skip to\n"))
68 cap.set(1,frame_no-5)
69
70
71 cap.release()
72 cv2.destroyAllWindows()
73
74 #97a
75 #115s
76 #100d
77 #102f
78 #103g
79 #104h
80 #106j
81 #107k
82 #108l