├── .gitignore
├── .project
├── .pydevproject
├── LICENSE.txt
├── README.md
└── src
├── drone_script.py
├── file_utils.py
├── gui.py
├── main.py
├── pid.py
├── polyphemus.py
└── red_blob_detection.py
/.gitignore:
--------------------------------------------------------------------------------
1 | #################
2 | ## Eclipse
3 | #################
4 |
5 | *.pydevproject
6 | .project
7 | .metadata
8 | bin/
9 | tmp/
10 | *.tmp
11 | *.bak
12 | *.swp
13 | *~.nib
14 | local.properties
15 | .classpath
16 | .settings/
17 | .loadpath
18 |
19 | # External tool builders
20 | .externalToolBuilders/
21 |
22 | # Locally stored "Eclipse launch configurations"
23 | *.launch
24 |
25 | # CDT-specific
26 | .cproject
27 |
28 | # PDT-specific
29 | .buildpath
30 |
31 | *.avi
32 | *.pyc
33 | *.csv
34 |
35 | #################
36 | ## Visual Studio
37 | #################
38 |
39 | ## Ignore Visual Studio temporary files, build results, and
40 | ## files generated by popular Visual Studio add-ons.
41 |
42 | # User-specific files
43 | *.suo
44 | *.user
45 | *.sln.docstates
46 |
47 | # Build results
48 |
49 | [Dd]ebug/
50 | [Rr]elease/
51 | x64/
52 | build/
53 | [Bb]in/
54 | [Oo]bj/
55 |
56 | # MSTest test Results
57 | [Tt]est[Rr]esult*/
58 | [Bb]uild[Ll]og.*
59 |
60 | *_i.c
61 | *_p.c
62 | *.ilk
63 | *.meta
64 | *.obj
65 | *.pch
66 | *.pdb
67 | *.pgc
68 | *.pgd
69 | *.rsp
70 | *.sbr
71 | *.tlb
72 | *.tli
73 | *.tlh
74 | *.tmp
75 | *.tmp_proj
76 | *.log
77 | *.vspscc
78 | *.vssscc
79 | .builds
80 | *.pidb
81 | *.log
82 | *.scc
83 |
84 | # Visual C++ cache files
85 | ipch/
86 | *.aps
87 | *.ncb
88 | *.opensdf
89 | *.sdf
90 | *.cachefile
91 |
92 | # Visual Studio profiler
93 | *.psess
94 | *.vsp
95 | *.vspx
96 |
97 | # Guidance Automation Toolkit
98 | *.gpState
99 |
100 | # ReSharper is a .NET coding add-in
101 | _ReSharper*/
102 | *.[Rr]e[Ss]harper
103 |
104 | # TeamCity is a build add-in
105 | _TeamCity*
106 |
107 | # DotCover is a Code Coverage Tool
108 | *.dotCover
109 |
110 | # NCrunch
111 | *.ncrunch*
112 | .*crunch*.local.xml
113 |
114 | # Installshield output folder
115 | [Ee]xpress/
116 |
117 | # DocProject is a documentation generator add-in
118 | DocProject/buildhelp/
119 | DocProject/Help/*.HxT
120 | DocProject/Help/*.HxC
121 | DocProject/Help/*.hhc
122 | DocProject/Help/*.hhk
123 | DocProject/Help/*.hhp
124 | DocProject/Help/Html2
125 | DocProject/Help/html
126 |
127 | # Click-Once directory
128 | publish/
129 |
130 | # Publish Web Output
131 | *.Publish.xml
132 | *.pubxml
133 |
134 | # NuGet Packages Directory
135 | ## TODO: If you have NuGet Package Restore enabled, uncomment the next line
136 | #packages/
137 |
138 | # Windows Azure Build Output
139 | csx
140 | *.build.csdef
141 |
142 | # Windows Store app package directory
143 | AppPackages/
144 |
145 | # Others
146 | sql/
147 | *.Cache
148 | ClientBin/
149 | [Ss]tyle[Cc]op.*
150 | ~$*
151 | *~
152 | *.dbmdl
153 | *.[Pp]ublish.xml
154 | *.pfx
155 | *.publishsettings
156 |
157 | # RIA/Silverlight projects
158 | Generated_Code/
159 |
160 | # Backup & report files from converting an old project file to a newer
161 | # Visual Studio version. Backup files are not needed, because we have git ;-)
162 | _UpgradeReport_Files/
163 | Backup*/
164 | UpgradeLog*.XML
165 | UpgradeLog*.htm
166 |
167 | # SQL Server files
168 | App_Data/*.mdf
169 | App_Data/*.ldf
170 |
171 | #############
172 | ## Windows detritus
173 | #############
174 |
175 | # Windows image file caches
176 | Thumbs.db
177 | ehthumbs.db
178 |
179 | # Folder config file
180 | Desktop.ini
181 |
182 | # Recycle Bin used on file shares
183 | $RECYCLE.BIN/
184 |
185 | # Mac crap
186 | .DS_Store
187 |
188 |
189 | #############
190 | ## Python
191 | #############
192 |
193 | *.py[co]
194 |
195 | # Packages
196 | *.egg
197 | *.egg-info
198 | dist/
199 | build/
200 | eggs/
201 | parts/
202 | var/
203 | sdist/
204 | develop-eggs/
205 | .installed.cfg
206 |
207 | # Installer logs
208 | pip-log.txt
209 |
210 | # Unit test / coverage reports
211 | .coverage
212 | .tox
213 |
214 | #Translations
215 | *.mo
216 |
217 | #Mr Developer
218 | .mr.developer.cfg
219 |
--------------------------------------------------------------------------------
/.project:
--------------------------------------------------------------------------------
1 |
2 |
3 | visual-follow
4 |
5 |
6 |
7 |
8 |
9 | org.python.pydev.PyDevBuilder
10 |
11 |
12 |
13 |
14 |
15 | org.python.pydev.pythonNature
16 |
17 |
18 |
--------------------------------------------------------------------------------
/.pydevproject:
--------------------------------------------------------------------------------
1 |
2 |
3 | Default
4 | python 2.7
5 |
6 | /${PROJECT_DIR_NAME}/src
7 |
8 |
9 |
--------------------------------------------------------------------------------
/LICENSE.txt:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # visual-follow
2 |
3 | This is a developer preview of visual based follow-me enhancements. When combined with conventional GPS based follow-me, this module will attempt to usethe gimbal to keep the target centered in frame.
4 |
5 | # Limitations
6 |
7 | The blob detector depends on color - in particular a red hat or shirt. Future releases will be smarter about selecting the target.
8 |
9 | # Usage
10 |
11 | * Install the [DroneAPI](http://dev.ardupilot.com/wiki/droneapi-tutorial/).
12 | * cd src
13 | * Run mavproxy to connect to vehicle (i.e. mavproxy.py --master=/dev/ttyACM0,115000).
14 | * Run "api start src/drone_script.py"
15 | * These steps can be combined into a single init script as necessary
16 |
--------------------------------------------------------------------------------
/src/drone_script.py:
--------------------------------------------------------------------------------
1 | import cv2
2 | import time
3 | import os.path
4 | import os
5 |
6 | from file_utils import Logger
7 | from polyphemus import process_stream
8 |
9 | mustarm = False
10 |
11 | def get_vehicle():
12 | api = local_connect() # @UndefinedVariable
13 | v = api.get_vehicles()[0]
14 | return v
15 |
16 | def wait_for_arm(v):
17 | print "Waiting for arming"
18 | while not v.armed:
19 | time.sleep(0.001)
20 | print "ARMED"
21 |
22 |
23 | def open_camera():
24 | # yuck - opencv has no way to count # of cameras, so do this hack of looking for /dev/video*
25 | numCameras = len(filter(lambda s: s.startswith("video"), os.listdir("/dev")))
26 |
27 | c = cv2.VideoCapture()
28 | # We start our search with higher numbered (likely external) cameras
29 | for cnum in range(0, numCameras):
30 | c.open(numCameras - cnum - 1)
31 | if c.isOpened():
32 | return c
33 |
34 | raise Exception('No cameras found')
35 |
36 | print "DroneScript - Visual-Follow Running"
37 | v = get_vehicle()
38 |
39 | while True:
40 | if mustarm:
41 | wait_for_arm(v)
42 |
43 | video_in = open_camera()
44 | homedir = os.path.expanduser("~")
45 | logger = Logger(path= homedir + "/Videos/")
46 |
47 | process_stream(video_in, logger, vehicle=v, require_arming=mustarm)
48 |
--------------------------------------------------------------------------------
/src/file_utils.py:
--------------------------------------------------------------------------------
1 | import cv2
2 | import datetime
3 | import glob
4 | import os
5 |
6 | def get_new_file_name(path):
7 | video_counter = len(glob.glob1(path, "*.avi"))
8 | filename = "demo_%03d" % video_counter
9 | return path + time_stamped(filename) + ".avi"
10 |
11 | def time_stamped(fname, fmt='{fname}_%Y-%m-%d-%H-%M-%S'):
12 | return datetime.datetime.now().strftime(fmt).format(fname=fname)
13 |
14 |
15 | def make_path(path):
16 | if not os.path.exists(path):
17 | os.makedirs(path)
18 |
19 | def get_attitude_string(vehicle):
20 | return str(vehicle.attitude.pitch) + "," + str(vehicle.attitude.roll) + "," + str(vehicle.attitude.yaw)
21 |
22 | def get_location_string(vehicle):
23 | return str(vehicle.location.lat) + "," + str(vehicle.location.lon) + "," + str(vehicle.location.alt) + "," + str(vehicle.location.is_relative)
24 |
25 |
26 | class Logger:
27 | frame_number = 0
28 |
29 | def __init__(self, path="../vids/"):
30 | make_path(path)
31 |
32 | filename = get_new_file_name(path)
33 | self.videoWriter = cv2.VideoWriter(filename=filename, # Provide a file to write the video to
34 | fourcc=cv2.cv.CV_FOURCC('P', 'I', 'M', '1'), # bring up codec dialog box
35 | fps=30,
36 | frameSize=(640, 480))
37 | self.logFile = open(filename[:-3] + "csv", "w")
38 | self.write_header()
39 |
40 | def write_header(self):
41 | self.logFile.write("frame,datetime,pitch,roll,yaw,lat,lon,alt,is_relative;\n")
42 |
43 | def log(self, frame, vehicle):
44 | self.frame_number = self.frame_number + 1
45 | self.videoWriter.write(frame)
46 | if vehicle:
47 | self.logFile.write(str(self.frame_number) + "," + str(datetime.datetime.today()) + "," + get_attitude_string(vehicle) + "," + get_location_string(vehicle) + ";\n")
48 | else:
49 | self.logFile.write(str(self.frame_number) + "," + str(datetime.datetime.today()) + ";\n")
50 |
51 | def close(self):
52 | self.videoWriter.release()
53 | self.logFile.close()
54 |
--------------------------------------------------------------------------------
/src/gui.py:
--------------------------------------------------------------------------------
1 | import cv2
2 |
3 |
4 | def render_crosshairs(frame, target):
5 | if target != None:
6 | green = 20, 255, 60
7 |
8 | cx, cy = target
9 | cv2.circle(frame, (cx, cy), 4, green, 5)
10 | cv2.line(frame, (0, cy), (frame.shape[1], cy), green, 1)
11 | cv2.line(frame, (cx, 0), (cx, frame.shape[0]), green, 1)
12 |
13 | cv2.putText(frame,'Y:%d'%cy,(0,25), cv2.FONT_HERSHEY_SIMPLEX, 1,(0,0,0),2)
14 |
--------------------------------------------------------------------------------
/src/main.py:
--------------------------------------------------------------------------------
1 | import argparse
2 | import cv2
3 |
4 |
5 | from polyphemus import process_stream
6 | from file_utils import Logger
7 |
8 |
9 | if __name__ == '__main__':
10 | parser = argparse.ArgumentParser(description="Track a red blob and adjust camera gimbal to follow")
11 | parser.add_argument('-r', '--record', action="store_true", default=False, help='record the output of the program to ../vids/demo_X.avi')
12 | parser.add_argument('-i', '--input', action="store", help='use a video filename as an input instead of a webcam')
13 | args = parser.parse_args()
14 |
15 | video_in = cv2.VideoCapture()
16 |
17 | if args.input != None:
18 | video_in.open(args.input)
19 | else:
20 | video_in.open(0)
21 |
22 | if args.record:
23 | logger = Logger()
24 | else:
25 | logger = None
26 | try:
27 | process_stream(video_in, logger)
28 | except KeyboardInterrupt:
29 | print "KeyboardInterrupt detected."
30 |
31 |
--------------------------------------------------------------------------------
/src/pid.py:
--------------------------------------------------------------------------------
1 | class Pid:
2 | ref = 240
3 | integral = 0.0
4 | previus_error = 0.0
5 |
6 | def __init__(self, kp, ki, kd):
7 | self.kp = kp
8 | self.ki = ki
9 | self.kd = kd
10 |
11 | def compute(self, output, reference):
12 | error = reference - output
13 | self.integral = self.integral + error
14 | self.integral = max(min(10000, self.integral), 0)
15 | derivative = (error - self.previus_error)
16 | control = error * self.kp + self.integral * self.ki + derivative * self.kd
17 | self.previus_error = error
18 | return control
19 |
20 | def print_graph(output,control):
21 | graph = '|' * int((output) / 2)
22 | print 'Y %d,\tpwm %d -' % (output, control) + graph
--------------------------------------------------------------------------------
/src/polyphemus.py:
--------------------------------------------------------------------------------
1 | import cv2
2 | import sys
3 |
4 | from gui import render_crosshairs
5 | from pid import Pid, print_graph
6 | from red_blob_detection import RedBlobDetector
7 |
8 | # Set to false if you don't want to show any windows
9 | showGUI = True
10 |
11 | controller = Pid(kp=0.2, ki=0.05, kd=0.2)
12 |
13 | vision_algorithm = RedBlobDetector()
14 |
15 | def move_camera(vehicle, pwm):
16 | if vehicle:
17 | pwm = max(pwm, 1) # Ensure we never ask for negative or zero pwm values
18 | msg = vehicle.message_factory.rc_channels_override_encode(1, 1, 0, 0, 0, 0, 0, pwm, 0, 0)
19 | vehicle.send_mavlink(msg)
20 | vehicle.flush()
21 |
22 | def disable_camera(vehicle):
23 | if vehicle:
24 | msg = vehicle.message_factory.rc_channels_override_encode(1, 1, 0, 0, 0, 0, 0, 0, 0, 0)
25 | vehicle.send_mavlink(msg)
26 | vehicle.flush()
27 |
28 |
29 | def process_stream(video_in, logger, vehicle=None, require_arming=False):
30 | if not video_in.isOpened():
31 | raise Exception("Could not open Video Stream. Bad filename name or missing camera.")
32 |
33 | while True:
34 | frame = get_frame(video_in)
35 |
36 | process_frame(logger, frame, vehicle)
37 |
38 | if vehicle:
39 | if require_arming and not vehicle.armed:
40 | break
41 | ch = 0xFF & cv2.waitKey(5)
42 | if ch == 27:
43 | break
44 |
45 | disable_camera(vehicle)
46 |
47 | print "Done with stream"
48 | if logger:
49 | logger.close()
50 | cv2.destroyAllWindows()
51 | video_in.release()
52 |
53 | def get_frame(videoInput):
54 | gotNewFrame, frame = videoInput.read()
55 | if not gotNewFrame:
56 | print "Reached EOF or webcam disconnected"
57 | sys.exit(0)
58 | return frame
59 |
60 | def process_frame(logger, frame, vehicle):
61 | if logger:
62 | logger.log(frame,vehicle)
63 |
64 | target = vision_algorithm.detect_target(frame)
65 |
66 | camera_pid(target, vehicle)
67 |
68 | render_crosshairs(frame, target)
69 | if showGUI:
70 | cv2.imshow("frame", frame)
71 |
72 | def camera_pid(target, vehicle):
73 | if target != None:
74 | _, cy = target
75 |
76 | control = controller.compute(cy, 240)
77 | pwm = control+1500
78 | move_camera(vehicle, pwm)
79 |
80 | print_graph(cy,pwm)
81 |
--------------------------------------------------------------------------------
/src/red_blob_detection.py:
--------------------------------------------------------------------------------
1 | import cv2
2 |
3 | import numpy as np
4 |
5 |
6 | class RedBlobDetector:
7 | hist = np.array([[255.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [255.]])
8 | hist = hist.astype(np.float32, copy=False)
9 |
10 | def detect_target(self,frame):
11 | prob = filter_red_pixels(self.hist, frame)
12 | binary_img = clean_up_with_morphology(prob)
13 | target = detect_biggest_polygon(binary_img)
14 | return target_coordinates(target)
15 |
16 |
17 | def filter_red_pixels(hist, frame):
18 | hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
19 | unsaturated_pixels = discard_saturated_pixels(hsv)
20 | red_pixels = filter_by_color(hist, hsv)
21 | red_pixels &= unsaturated_pixels
22 | return red_pixels
23 |
24 | def discard_saturated_pixels(hsv):
25 | mask = cv2.inRange(hsv, np.array((0., 150., 0.)), np.array((180., 255., 255.)))
26 | return mask
27 |
28 | def filter_by_color(hist, hsv):
29 | prob = cv2.calcBackProject([hsv], [0], hist, [0, 180], 1)
30 | return prob
31 |
32 | def clean_up_with_morphology(prob):
33 | erode = cv2.erode(prob, None, iterations=1)
34 | dilated = cv2.dilate(erode, None, iterations=2)
35 | binary_img = cv2.erode(dilated, None, iterations=1)
36 | return binary_img
37 |
38 | def detect_biggest_polygon(binary_img):
39 | binary_img_to_process = binary_img.copy() # contour detection will mess up the image
40 | contours, _ = cv2.findContours(binary_img_to_process, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
41 | biggest_contour = None
42 | if contours != []:
43 | biggest_contour_index = 0
44 | for i in range(1, len(contours)):
45 | if cv2.contourArea(contours[i]) > cv2.contourArea(contours[biggest_contour_index]):
46 | biggest_contour_index = i
47 |
48 | biggest_contour = contours[biggest_contour_index]
49 | return biggest_contour
50 |
51 | def target_coordinates(target):
52 | if target == None:
53 | return None
54 | contour_centroid = cv2.moments(target)
55 | try:
56 | cx, cy = int(contour_centroid['m10'] / contour_centroid['m00']), int(contour_centroid['m01'] / contour_centroid['m00'])
57 | return (cx,cy)
58 | except ZeroDivisionError:
59 | return None
--------------------------------------------------------------------------------