mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
120 lines
3.8 KiB
120 lines
3.8 KiB
#!/usr/bin/env python |
|
|
|
''' |
|
Camshift tracker |
|
================ |
|
|
|
This is a demo that shows mean-shift based tracking |
|
You select a color objects such as your face and it tracks it. |
|
This reads from video camera (0 by default, or the camera number the user enters) |
|
|
|
[1] http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.7673 |
|
|
|
Usage: |
|
------ |
|
camshift.py [<video source>] |
|
|
|
To initialize tracking, select the object with mouse |
|
|
|
Keys: |
|
----- |
|
ESC - exit |
|
b - toggle back-projected probability visualization |
|
''' |
|
|
|
import numpy as np |
|
import cv2 as cv |
|
|
|
# local module |
|
import video |
|
from video import presets |
|
|
|
|
|
class App(object): |
|
def __init__(self, video_src): |
|
self.cam = video.create_capture(video_src, presets['cube']) |
|
_ret, self.frame = self.cam.read() |
|
cv.namedWindow('camshift') |
|
cv.setMouseCallback('camshift', self.onmouse) |
|
|
|
self.selection = None |
|
self.drag_start = None |
|
self.show_backproj = False |
|
self.track_window = None |
|
|
|
def onmouse(self, event, x, y, flags, param): |
|
if event == cv.EVENT_LBUTTONDOWN: |
|
self.drag_start = (x, y) |
|
self.track_window = None |
|
if self.drag_start: |
|
xmin = min(x, self.drag_start[0]) |
|
ymin = min(y, self.drag_start[1]) |
|
xmax = max(x, self.drag_start[0]) |
|
ymax = max(y, self.drag_start[1]) |
|
self.selection = (xmin, ymin, xmax, ymax) |
|
if event == cv.EVENT_LBUTTONUP: |
|
self.drag_start = None |
|
self.track_window = (xmin, ymin, xmax - xmin, ymax - ymin) |
|
|
|
def show_hist(self): |
|
bin_count = self.hist.shape[0] |
|
bin_w = 24 |
|
img = np.zeros((256, bin_count*bin_w, 3), np.uint8) |
|
for i in range(bin_count): |
|
h = int(self.hist[i]) |
|
cv.rectangle(img, (i*bin_w+2, 255), ((i+1)*bin_w-2, 255-h), (int(180.0*i/bin_count), 255, 255), -1) |
|
img = cv.cvtColor(img, cv.COLOR_HSV2BGR) |
|
cv.imshow('hist', img) |
|
|
|
def run(self): |
|
while True: |
|
_ret, self.frame = self.cam.read() |
|
vis = self.frame.copy() |
|
hsv = cv.cvtColor(self.frame, cv.COLOR_BGR2HSV) |
|
mask = cv.inRange(hsv, np.array((0., 60., 32.)), np.array((180., 255., 255.))) |
|
|
|
if self.selection: |
|
x0, y0, x1, y1 = self.selection |
|
hsv_roi = hsv[y0:y1, x0:x1] |
|
mask_roi = mask[y0:y1, x0:x1] |
|
hist = cv.calcHist( [hsv_roi], [0], mask_roi, [16], [0, 180] ) |
|
cv.normalize(hist, hist, 0, 255, cv.NORM_MINMAX) |
|
self.hist = hist.reshape(-1) |
|
self.show_hist() |
|
|
|
vis_roi = vis[y0:y1, x0:x1] |
|
cv.bitwise_not(vis_roi, vis_roi) |
|
vis[mask == 0] = 0 |
|
|
|
if self.track_window and self.track_window[2] > 0 and self.track_window[3] > 0: |
|
self.selection = None |
|
prob = cv.calcBackProject([hsv], [0], self.hist, [0, 180], 1) |
|
prob &= mask |
|
term_crit = ( cv.TERM_CRITERIA_EPS | cv.TERM_CRITERIA_COUNT, 10, 1 ) |
|
track_box, self.track_window = cv.CamShift(prob, self.track_window, term_crit) |
|
|
|
if self.show_backproj: |
|
vis[:] = prob[...,np.newaxis] |
|
try: |
|
cv.ellipse(vis, track_box, (0, 0, 255), 2) |
|
except: |
|
print(track_box) |
|
|
|
cv.imshow('camshift', vis) |
|
|
|
ch = cv.waitKey(5) |
|
if ch == 27: |
|
break |
|
if ch == ord('b'): |
|
self.show_backproj = not self.show_backproj |
|
cv.destroyAllWindows() |
|
|
|
|
|
if __name__ == '__main__': |
|
print(__doc__) |
|
import sys |
|
try: |
|
video_src = sys.argv[1] |
|
except: |
|
video_src = 0 |
|
App(video_src).run()
|
|
|