http://blog.csdn.net/dark5669/article/details/78579110
這里是一篇問題匯總。
對于VS2017在按照相關(guān)配置，把opencv的和opencontrib源碼下載編譯之后，配置好opencv后（配置請參考上一篇文章）
對于python 在anaconda上的有opencv3.3.1的contrib編譯好的，https://www.lfd.uci.edu/~gohlke/pythonlibs/到這里下載就行注意版本
如果是opencv3.4，需要重新編譯python版本的，試了一下失敗了。
下面是算法實現(xiàn)。
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;
}
}
}
如果出現(xiàn)類似這樣的錯誤是因為沒有吧caffe模型放進去。模型在這里面https://github.com/opencv/opencv_extra/tree/master/testdata
下載之后在testdata\tracking\下面有g(shù)oturn.caffemodel，和goturn.protxt把這個解壓之后放到VS的工程目錄下面就行。如果是python ,同理，放于工程目錄下就行。
