Opencv 3.4 目标跟踪 goturn算法 实现

http://blog.csdn.net/dark5669/article/details/78579110

这里是一篇问题汇总。

对于VS2017在按照相关配置，把opencv的和opencontrib源码下载编译之后，配置好opencv后（配置请参考上一篇文章）

对于python 在anaconda上的有opencv3.3.1的contrib编译好的，https://www.lfd.uci.edu/~gohlke/pythonlibs/到这里下载就行注意版本

如果是opencv3.4，需要重新编译python版本的，试了一下失败了。

下面是算法实现。

Python版本

import cv2

import sys

(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')

if __name__ =='__main__' :

# Set up tracker.

# Instead of MIL, you can also use

    tracker_types = ['BOOSTING','MIL','KCF','TLD','MEDIANFLOW','GOTURN']

tracker_type = tracker_types[4]

if int(minor_ver) <3:

tracker = cv2.Tracker_create(tracker_type)

else:

if tracker_type =='BOOSTING':

tracker = cv2.TrackerBoosting_create()

if tracker_type =='MIL':

tracker = cv2.TrackerMIL_create()

if tracker_type =='KCF':

tracker = cv2.TrackerKCF_create()

if tracker_type =='TLD':

tracker = cv2.TrackerTLD_create()

if tracker_type =='MEDIANFLOW':

tracker = cv2.TrackerMedianFlow_create()

if tracker_type =='GOTURN':

tracker = cv2.TrackerGOTURN_create()

# Read video

#    video = cv2.VideoCapture("videos/chaplin.mp4")

    video = cv2.VideoCapture(0)

# Exit if video not opened.

    if not video.isOpened():

print ("Could not open video")

sys.exit()

# Read first frame.

    ok, frame = video.read()

if not ok:

print ('Cannot read video file')

sys.exit()

# Define an initial bounding box

    bbox = (287,23,86,320)

# Uncomment the line below to select a different bounding box

    bbox = cv2.selectROI(frame,False)

# Initialize tracker with first frame and bounding box

    ok = tracker.init(frame, bbox)

while True:

# Read a new frame

        ok, frame = video.read()

if not ok:

break

        # Start timer

        timer = cv2.getTickCount()

# Update tracker

        ok, bbox = tracker.update(frame)

# Calculate Frames per second (FPS)

        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);

# Draw bounding box

        if ok:

# Tracking success

            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 :

# Tracking failure

            cv2.putText(frame,"Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX,0.75,(0,0,255),2)

# Display tracker type on frame

        cv2.putText(frame, tracker_type +" Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX,0.75, (50,170,50),2);

# Display FPS on frame

        cv2.putText(frame,"FPS : " +str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX,0.75, (50,170,50),2);

# Display result

        cv2.imshow("Tracking", frame)

# Exit if ESC pressed

        k = cv2.waitKey(1) &0xff

        if k ==27 :break

c++版本

#include#include#includeusing namespace cv;using namespace std;// Convert to string#define SSTR( x ) static_cast< std::ostringstream & >( \( std::ostringstream() << std::dec << x ) ).str()int main(int argc, char **argv){// List of tracker types in OpenCV 3.2// NOTE : GOTURN implementation is buggy and does not work.string trackerTypes[6] = { "BOOSTING", "MIL", "KCF", "TLD","MEDIANFLOW", "GOTURN" };// vectortrackerTypes(types, std::end(types));// Create a trackerstring trackerType = trackerTypes[0];Ptr tracker;

#if (CV_MINOR_VERSION < 3)

{

tracker = Tracker::create(trackerType);

}

#else

{

if (trackerType == "BOOSTING")

tracker = TrackerBoosting::create();

if (trackerType == "MIL")

tracker = TrackerMIL::create();

if (trackerType == "KCF")

tracker = TrackerKCF::create();

if (trackerType == "TLD")

tracker = TrackerTLD::create();

if (trackerType == "MEDIANFLOW")

tracker = TrackerMedianFlow::create();

if (trackerType == "GOTURN")

tracker = TrackerGOTURN::create();

}

#endif

// Read video

VideoCapture video(0);

// Exit if video is not opened

if (!video.isOpened())

{

cout << "Could not read video file" << endl;

return 1;

}

// Read first frame

Mat frame;

bool ok = video.read(frame);

// Define initial boundibg box

Rect2d bbox(287, 23, 86, 320);

// Uncomment the line below to select a different bounding box

bbox = selectROI(frame, false);

// Display bounding box.

rectangle(frame, bbox, Scalar(255, 0, 0), 2, 1);

imshow("Tracking", frame);

tracker->init(frame, bbox);

while (video.read(frame))

{

// Start timer

double timer = (double)getTickCount();

// Update the tracking result

bool ok = tracker->update(frame, bbox);

// Calculate Frames per second (FPS)

float fps = getTickFrequency() / ((double)getTickCount() - timer);

if (ok)

{

// Tracking success : Draw the tracked object

rectangle(frame, bbox, Scalar(255, 0, 0), 2, 1);

}

else

{

// Tracking failure detected.

putText(frame, "Tracking failure detected", Point(100, 80), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(0, 0, 255), 2);

}

// Display tracker type on frame

putText(frame, trackerType + " Tracker", Point(100, 20), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(50, 170, 50), 2);

// Display FPS on frame

putText(frame, "FPS : " + SSTR(int(fps)), Point(100, 50), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(50, 170, 50), 2);

// Display frame.

imshow("Tracking", frame);

// Exit if ESC pressed.

int k = waitKey(1);

if (k == 27)

{

break;

}

}

}

如果出现类似这样的错误是因为没有吧caffe模型放进去。模型在这里面https://github.com/opencv/opencv_extra/tree/master/testdata

下载之后在testdata\tracking\下面有goturn.caffemodel，和goturn.protxt把这个解压之后放到VS的工程目录下面就行。如果是python ,同理，放于工程目录下就行。