e2 = path2.index(".")
n1 = int(path1[s1 + 1:e1])
n2 = int(path2[s2 + 1:e2])
if n1 < n2: return -1
elif n1 == n2: return 0
else: return 1
if __name__ == '__main__':
imgPath = 'datasets/PhC-C2DL-PSC/Sequence 1'
imgList = getAllImgPath1(imgPath)
ct = CenterPointTracking()
pathDic = defaultdict(list)
for index, i in enumerate(imgList):
img = cv2.imread(i)
pathDic = task1(index, img, pathDic)
imgPath1 = "cell3task1&2"
imgList1 = getAllImgPath1(imgPath1)
imgList1 = sorted(imgList1, key=functools.cmp_to_key(diySort))
img = cv2.imread(imgList1[0])
fps = 2
if __name__ == '__main__':
imgPath = 'datasets/PhC-C2DL-PSC/Sequence 1'
imgList = getAllImgPath1(imgPath)
pathDic = defaultdict(list)
frame = cv2.imread("datasets/PhC-C2DL-PSC/Sequence 1/t001.tif")
selectedBox = cv2.selectROI(frame, False)
cv2.waitKey(0)
cv2.destroyAllWindows()
rects = [(selectedBox[0], selectedBox[1], selectedBox[0] + selectedBox[2],
selectedBox[1] + selectedBox[3])]
ct = CenterPointTracking()
ct.update(rects)
for index, i in enumerate(imgList):
img = cv2.imread(i)
pathDic = task1(index, img, pathDic)
imgPath1 = "cell3task1&2"
imgList1 = getAllImgPath1(imgPath1)
imgList1 = sorted(imgList1, key=functools.cmp_to_key(diySort))
img = cv2.imread(imgList1[0])
fps = 2
size = (img.shape[1], img.shape[0])