track.py

import numpy as np
import cv2
import pandas as pd
from feature_detection import shiTomasiCornerDetector 

def track(video):
    # further input needs points from our methods
    cap = cv2.VideoCapture(0)

    # params for ShiTomasi corner detection. Replace with our own implementation
    feature_params = dict( maxCorners = 100,
                       qualityLevel = 0.3,
                       minDistance = 7,
                       blockSize = 7 )

    # Parameters for lucas kanade optical flow
    lk_params = dict( winSize  = (25,25),
                  maxLevel = 2,
                  criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))
    # Create some random colors
    color = np.random.randint(0,255,(100,3))
    # Take first frame and find corners in it
    ret, old_frame = cap.read()
    old_gray = cv2.cvtColor(old_frame, cv2.COLOR_BGR2GRAY)
    #p0 = cv2.goodFeaturesToTrack(old_gray, mask = None, **feature_params)
    p0 = shiTomasiCornerDetector(old_gray, (7,7), 100, 0.3, 7) 
    points = []
    points.append(p0)

    # Create a mask image for drawing purposes
    mask = np.zeros_like(old_frame)
    while(ret):
        ret,frame = cap.read()
        if ret != True: break
        frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        # calculate optical flow
        p1, st, err = cv2.calcOpticalFlowPyrLK(old_gray, frame_gray, p0, None, **lk_params)
        points.append(p1)
        # Select good points
        good_new = p1[st==1]
        good_old = p0[st==1]
        # draw the tracks
        for i,(new,old) in enumerate(zip(good_new,good_old)):
            a,b = new.ravel()
            c,d = old.ravel()
            cv2.line(mask, (a,b),(c,d), color[i].tolist(), 2)
            cv2.circle(frame,(a,b),5,color[i].tolist(),-1)
        img = cv2.add(frame,mask)
        cv2.imshow('frame',img)
        k = cv2.waitKey(30) & 0xff
        if k == 27:
            break
        # Now update the previous frame and previous points
        old_gray = frame_gray.copy()
        p0 = good_new.reshape(-1,1,2)
    # will add the return part after
    cap.release()
    cv2.destroyAllWindows()

if __name__ == '__main__':
    #change video name
    track('/Users/alliey/Desktop/231A/project/dragon.mov')