Open Source Computer Vision Library
https://opencv.org/
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83 lines
2.9 KiB
83 lines
2.9 KiB
import numpy as np |
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import cv2 |
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import video |
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class App(object): |
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def __init__(self, video_src): |
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self.cam = video.create_capture(video_src) |
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ret, self.frame = self.cam.read() |
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cv2.namedWindow('camshift') |
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cv2.setMouseCallback('camshift', self.onmouse) |
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self.selection = None |
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self.drag_start = None |
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self.tracking_state = 0 |
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def onmouse(self, event, x, y, flags, param): |
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x, y = np.int16([x, y]) # BUG |
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if event == cv2.EVENT_LBUTTONDOWN: |
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self.drag_start = (x, y) |
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self.tracking_state = 0 |
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if self.drag_start: |
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if flags & cv2.EVENT_FLAG_LBUTTON: |
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h, w = self.frame.shape[:2] |
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xo, yo = self.drag_start |
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x0, y0 = np.maximum(0, np.minimum([xo, yo], [x, y])) |
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x1, y1 = np.minimum([w, h], np.maximum([xo, yo], [x, y])) |
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self.selection = None |
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if x1-x0 > 0 and y1-y0 > 0: |
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self.selection = (x0, y0, x1, y1) |
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else: |
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self.drag_start = None |
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if self.selection is not None: |
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self.tracking_state = 1 |
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def show_hist(self): |
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bin_count = self.hist.shape[0] |
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bin_w = 24 |
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img = np.zeros((256, bin_count*bin_w, 3), np.uint8) |
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for i in xrange(bin_count): |
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h = int(self.hist[i]) |
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cv2.rectangle(img, (i*bin_w+2, 255), ((i+1)*bin_w-2, 255-h), (int(180.0*i/bin_count), 255, 255), -1) |
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img = cv2.cvtColor(img, cv2.COLOR_HSV2BGR) |
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cv2.imshow('hist', img) |
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def run(self): |
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while True: |
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ret, self.frame = self.cam.read() |
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self.frame = self.frame.copy() |
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hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV) |
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if self.selection: |
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x0, y0, x1, y1 = self.selection |
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hsv_roi = hsv[y0:y1, x0:x1] |
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hist = cv2.calcHist( [hsv_roi], [0], None, [16], [0, 180] ) |
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cv2.normalize(hist, hist, 0, 255, cv2.NORM_MINMAX); |
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self.hist = hist.reshape(-1) |
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self.show_hist() |
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roi = self.frame[y0:y1, x0:x1] |
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cv2.bitwise_not(roi, roi) |
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if self.tracking_state == 1: |
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self.selection = None |
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prob = cv2.calcBackProject([hsv], [0], self.hist, [0, 180], 1) |
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term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 ) |
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print cv2.CamShift(prob, term_crit) |
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#cv2.imshow('back', back) |
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cv2.imshow('camshift', self.frame) |
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if cv2.waitKey(5) == 27: |
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break |
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if __name__ == '__main__': |
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import sys |
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try: video_src = sys.argv[1] |
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except: video_src = video.presets['chess'] |
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App(video_src).run() |
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