python實現目標跟蹤（opencv）

1.單目標跟蹤

import cv2

import sys
(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
print(major_ver, minor_ver, subminor_ver)
if __name__ == '__main__':
# 建立***
tracker_type = 'mil'
tracker = cv2.trackermil_create()
video = cv2.videocapture("./data/1.mp4")
# 讀入第一幀
ok, frame = video.read()
if not ok:
print('cannot read video file')
sys.exit()
# 定義乙個bounding box
bbox = (287, 23, 86, 320)
bbox = cv2.selectroi(frame, false)
# 用第一幀初始化
ok = tracker.init(frame, bbox)
while true:
ok, frame = video.read()
if not ok:
break
# start timer
timer = cv2.gettickcount()
# update tracker
ok, bbox = tracker.update(frame)
# cakculate fps
fps = cv2.gettickfrequency() / (cv2.gettickcount() - timer)
# draw bonding box
if ok:
p1 = (int(bbox[0]), int(bbox[1]))
p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
else:
cv2.puttext(frame, "tracking failed detected", (100, 80), cv2.font_hershey_******x, 0.75, (0, 0, 255), 2)
# 展示tracker型別
cv2.puttext(frame, tracker_type+"tracker", (100, 20), cv2.font_hershey_******x, 0.75, (50, 170, 50), 2)
# 展示fps
cv2.puttext(frame, "fps:"+str(fps), (100, 50), cv2.font_hershey_******x, 0.75, (50, 170, 50), 2)
# result
cv2.imshow("tracking", frame)
# exit
k = cv2.waitkey(1) & 0xff
if k ==27 : break

使用goturn作為***時，須將goturn.caffemodel和goturn.prototxt放到工作目錄才能執行，解決問題鏈結

import cv2

import sys
(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
print(major_ver, minor_ver, subminor_ver)
if __name__ == '__main__':
# 建立***
# 'boosting', 'mil','kcf', 'tld', 'medianflow', 'goturn', 'mosse'
tracker_type = 'mil'
tracker = cv2.multitracker_create()
# 建立視窗
cv2.namedwindow("tracking")
video = cv2.videocapture("./data/1.mp4")
# 讀入第一幀
ok, frame = video.read()
if not ok:
print('cannot read video file')
sys.exit()
# 定義乙個bounding box
box1 = cv2.selectroi("tracking", frame)
box2 = cv2.selectroi("tracking", frame)
box3 = cv2.selectroi("tracking", frame)
# 用第一幀初始化
ok = tracker.add(cv2.trackermil_create(), frame, box1)
ok1 = tracker.add(cv2.trackermil_create(), frame, box2)
ok2 = tracker.add(cv2.trackermil_create(), frame, box3)
while true:
ok, frame = video.read()
if not ok:
break
# start timer
timer = cv2.gettickcount()
# update tracker
ok, boxes = tracker.update(frame)
print(ok, boxes)
# cakculate fps
fps = cv2.gettickfrequency() / (cv2.gettickcount() - timer)
for box in boxes:
# draw bonding box
if ok:
p1 = (int(box[0]), int(box[1]))
p2 = (int(box[0] + box[2]), int(box[1] + box[3]))
cv2.rectangle(frame, p1, p2, (255, 0, 0), 2, 1)
else:
cv2.puttext(frame, "tracking failed detected", (100, 80), cv2.font_hershey_******x, 0.75, (0, 0, 255),2)
# 展示tracker型別
cv2.puttext(frame, tracker_type+"tracker", (100, 20), cv2.font_hershey_******x, 0.75, (50, 170, 50), 2)
# 展示fps
cv2.puttext(frame, "fps:"+str(fps), (100, 50), cv2.font_hershey_******x, 0.75, (50, 170, 50), 2)
# result
cv2.imshow("tracking", frame)
# exit
k = cv2.waitkey(1) & 0xff
if k ==27 : break

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