<jupyter_start><jupyter_text>Below are some tracker data.It is in the form of a list containing (x,y) coordinates of tracked points<jupyter_code>zero=[(141, 118), (215, 137), (296, 227), (273, 324), (226, 328), (105, 263), (94, 147), (112, 117)]
one=[(185, 161), (192, 171), (194, 177), (195, 188), (195, 201), (195, 207), (195, 224), (195, 239), (193, 249), (189, 260), (183, 279), (180, 292), (175, 305), (171, 314), (170, 317)]
two=[(217, 107), (207, 99), (196, 94), (166, 86), (133, 83), (122, 85), (94, 98), (81, 131), (78, 158), (80, 195), (114, 236), (146, 257), (196, 275), (237, 281), (248, 281), (272, 280), (280, 280), (278, 280), (251, 280), (188, 277), (143, 274), (103, 271), (63, 267), (46, 266), (40, 266), (36, 268)]
three=[(337, 105), (213, 94), (187, 160), (261, 194), (291, 200), (333, 201), (348, 197), (350, 195), (349, 191), (313, 176), (258, 169), (191, 178), (114, 227), (126, 303), (166, 325), (237, 334), (274, 330), (302, 314), (331, 279), (345, 266), (347, 264), (348, 260)]
four=[(202, 84), (253, 147), (286, 179), (296, 191), (341, 244), (352, 253), (355, 253), (356, 251), (358, 252), (361, 252), (356, 248), (324, 245), (307, 244), (239, 238), (173, 233), (135, 230), (110, 226), (97, 222), (101, 220), (105, 221), None, (159, 97), (186, 188), (194, 221), (203, 288), (202, 330)]
five=[(288, 88), (288, 88), (319, 84), (364, 88), (388, 91), (402, 97), (403, 101), (414, 153), (424, 202), (433, 227), (437, 229), (438, 229), (420, 218), (353, 185), (324, 179), (255, 204), (257, 261), (305, 288), (369, 304), (401, 309), (405, 308), (395, 299), (388, 288), (387, 286)]
six=[(224, 68), (226, 69), (234, 72), (246, 78), (272, 92), (294, 120), (301, 150), (294, 179), (248, 198), (184, 189), (166, 179), (143, 143), (172, 130), (187, 127), (193, 126), (216, 124), (259, 132), (295, 142), (304, 147), (303, 146), (303, 145)]
seven=[(281, 99), (197, 82), (171, 80), (166, 80), (165, 85), (176, 103), (209, 153), (239, 191), (280, 242), (291, 257), (314, 284), (325, 300), (326, 302), (326, 301)]
eight= [(282, 170), (343, 212), (360, 244), (359, 279), (312, 305), (257, 302), (253, 295), (266, 265), (311, 222), (326, 204), (364, 152), (371, 105), (344, 79), (286, 67), (265, 84), (270, 110), (305, 159)]
nine=[(170, 82), (247, 95), (284, 115), (320, 169), (312, 204), (253, 223), (206, 201), (177, 121), (177, 102), (180, 70), (176, 69), (172, 70), (168, 91), (175, 158), (182, 208), (212, 308), (252, 333), (303, 329), (361, 267)]
one_v2=[(241, 122), (275, 260), (282, 313), (283, 323)]
seven_v2= [(325, 146), (269, 133), (220, 132), (193, 132), (188, 132), (182, 135), (187, 144), (207, 169), (274, 243), (315, 302), (344, 332)]
three_v2=[(340, 51), (227, 78), (226, 106), (242, 134), (282, 166), (309, 174), (331, 175), (332, 172), (317, 169), (258, 166), (186, 185), (174, 199), (177, 251), (252, 299), (304, 303), (329, 293), (336, 267)]
two_v2=[(357, 149), (348, 92), (338, 81), (300, 62), (259, 61), (229, 76), (223, 96), (228, 133), (241, 155), (258, 183), (287, 214), (306, 231), (326, 246), (338, 257), (332, 259), (316, 255), (285, 251), (255, 248), (228, 247), (190, 248), (169, 248), (155, 247), (146, 242), (143, 241)]
four_v2=[(308, 79), (325, 97), (354, 126), (372, 147), (398, 182), (420, 211), (427, 219), (437, 232), (419, 229), (407, 226), (359, 215), (300, 200), (269, 193), (245, 190), (229, 190), None, (324, 83), (319, 150), (316, 186), (310, 221), (301, 259), (297, 270), (295, 270), (295, 267)]
eight_v2=[(266, 46), (275, 43), (290, 44), (305, 48), (334, 66), (349, 87), (357, 110), (342, 134), (307, 145), (293, 149), (247, 171), (209, 210), (200, 247), (208, 280), (252, 323), (286, 331), (337, 326), (346, 296), (341, 278), (307, 218), (265, 157), (252, 138), (227, 88), (215, 54), (213, 48)]<jupyter_output><empty_output><jupyter_text>Define a function convert that convert the tracked points into an image.You can use cv2.line(image, x, y, color, thickness) to plot and connect the points<jupyter_code>import cv2  
import numpy as np

def convert(points,name):
    #creates blank image
    img = np.zeros((512,512,3), np.uint8) 
    # Insert code here
    pass
    cv2.imwrite('%s.png'%name ,img)
    #change return function to return the image so you can use it in colab without re-uploading image
    return None<jupyter_output><empty_output>
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{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '663812', 'license': 'MIT', 'n_tokens_mistral': 3192, 'n_tokens_neox': 1767, 'n_words': 673, 'path': 'CollectingData.ipynb', 'repo_name': 'VivianGunawan/Air-Writing', 'size': '4303'}