Draw an illustration with Python + OpenCV
1.First of all
I wrote an illustration with Python + OpenCV. I can't draw a picture because I don't have a drawing heart → I can write a program → It's a reckless idea that I should draw a picture with a program. All the line positions are specified in solid coordinates, and I haven't done anything difficult.
2. Execution result
3. Whole script
girl1.py
import numpy as np
import cv2
#Fill with white
img = np.full((600, 800, 3), 255, dtype=np.uint8)
#Auxiliary line
#cv2.rectangle(img, (300, 300), (500, 500), (127, 127, 127), 1, cv2.LINE_AA)
#cv2.line( img, (300, 400), (500, 400), (127, 127, 127), 1, cv2.LINE_AA)
#cv2.line( img, (400, 300), (400, 500), (127, 127, 127), 1, cv2.LINE_AA)
#cv2.line( img, (300, 450), (500, 450), (127, 127, 127), 1, cv2.LINE_AA)
#cv2.line( img, (300, 435), (500, 435), (127, 127, 127), 1, cv2.LINE_AA)
#cv2.circle( img, (400, 400), 100, (127, 127, 127), 1, cv2.LINE_AA)
#cv2.ellipse( img, ((400, 400), (170, 200), 0), (127, 127, 127), 1, cv2.LINE_AA)
#Hair fill I can't fill it well if I connect all of them, so I divide it into four
pts1_1 = np.array([
#hair(Right outside)
(400, 270),
(415, 271),
(430, 273),
(440, 276),
(450, 280),
(460, 285),
(470, 290),
(480, 298),
(490, 309),
(495, 315),
(500, 330),
(504, 340),
(507, 350),
(509, 360),
(510, 370),
(510, 400),
(509, 430),
(507, 460),
(504, 500),
#neck(right)
(424, 500),
(425, 491),
#Contour right(Excluding ears)
(430, 489),
(440, 485),
(450, 480),
(460, 470),
(465, 458),
(467, 450),
(475, 447),
(478, 440),
(480, 434),
(475, 430),
(479, 420),
(482, 410),
(485, 400),
(488, 390),
#hair(Right inside)Halfway
(488, 390),
(480, 385),
(456, 378),
(452, 350),
(448, 330),
], dtype=np.int32)
cv2.fillConvexPoly(img, pts1_1, (127, 127, 127))
#Hair fill
pts1_2 = np.array([
#Top of the head
(400, 270),
#hair(Right inside)From the middle
(440, 315),
(444, 330),
(448, 350),
(450, 376),
(430, 372),
(405, 370),
(404, 350),
(403, 325),
(402, 320),
(401, 310),
(400, 305),
], dtype=np.int32)
cv2.fillConvexPoly(img, pts1_2, (127, 127, 127))
#Hair fill
pts1_3 = np.array([
#Top of the head
(400, 270),
#hair(Left inside)Halfway
# (400, 305),
(399, 310),
(398, 320),
(397, 325),
(396, 350),
(395, 370),
(370, 372),
(350, 376),
(352, 350),
(356, 330),
(360, 315),
], dtype=np.int32)
cv2.fillConvexPoly(img, pts1_3, (127, 127, 127))
#Hair fill
pts1_4 = np.array([
#hair(Left inside)From the middle
(352, 330),
(348, 350),
(344, 378),
(320, 385),
(312, 390),
#Contour left(Excluding ears)
(312, 390),
(315, 400),
(318, 410),
(321, 420),
(325, 430),
(320, 434),
(322, 440),
(325, 447),
(333, 450),
(335, 458),
(340, 470),
(350, 480),
(360, 485),
(370, 489),
#neck(left)
(375, 491),
(376, 500),
#hair(Left outside)
(296, 500),
(293, 460),
(291, 430),
(290, 400),
(290, 370),
(291, 360),
(293, 350),
(296, 340),
(300, 330),
(305, 315),
(310, 309),
(320, 298),
(330, 290),
(340, 285),
(350, 280),
(360, 276),
(370, 273),
(385, 271),
(400, 270),
], dtype=np.int32)
cv2.fillConvexPoly(img, pts1_4, (127, 127, 127))
#Contour
pts2 = np.array([
# (400, 300),
# (410, 301),
# (420, 303),
# (430, 306),
# (440, 310),
# (450, 315),
# (460, 320),
# (470, 328),
# (480, 339),
# (485, 345),
# (491, 360),
# (491, 370),
# (490, 380),
(488, 390),
(485, 400),
(482, 410),
(479, 420),
(475, 430),
(470, 440),
(465, 458),
(460, 470),
(450, 480),
(440, 485),
(430, 489),
(420, 493),
(410, 497),
(400, 500),
(390, 497),
(380, 493),
(370, 489),
(360, 485),
(350, 480),
(340, 470),
(335, 458),
(330, 440),
(325, 430),
(321, 420),
(318, 410),
(315, 400),
(312, 390),
# (310, 380),
# (309, 370),
# (309, 360),
# (315, 345),
# (320, 339),
# (330, 328),
# (340, 320),
# (350, 315),
# (360, 310),
# (370, 306),
# (380, 303),
# (390, 301),
# (400, 300),
], dtype=np.int32)
cv2.polylines(img, [pts2], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#right eye
cv2.ellipse( img, (440, 430), ( 12, 20), 180, 0, 180, (127, 127, 127), -1, cv2.LINE_AA)
cv2.ellipse( img, ((440, 430), ( 25, 40), 0), ( 0, 0, 0), 2, cv2.LINE_AA)
cv2.ellipse( img, ((440, 430), ( 10, 16), 0), ( 0, 0, 0), -1, cv2.LINE_AA)
cv2.ellipse( img, ((444, 420), ( 6, 6), 0), (255, 255, 255), -1, cv2.LINE_AA)
cv2.ellipse( img, ((444, 420), ( 6, 6), 0), ( 0, 0, 0), 1, cv2.LINE_AA)
#left eye
cv2.ellipse( img, (360, 430), ( 12, 20), 180, 0, 180, (127, 127, 127), -1, cv2.LINE_AA)
cv2.ellipse( img, ((360, 430), ( 25, 40), 0), ( 0, 0, 0), 2, cv2.LINE_AA)
cv2.ellipse( img, ((360, 430), ( 10, 16), 0), ( 0, 0, 0), -1, cv2.LINE_AA)
cv2.ellipse( img, ((364, 420), ( 6, 6), 0), (255, 255, 255), -1, cv2.LINE_AA)
cv2.ellipse( img, ((364, 420), ( 6, 6), 0), ( 0, 0, 0), 1, cv2.LINE_AA)
#Right eyebrows
pts3 = np.array([
(420, 400),
(430, 390),
(440, 385),
(450, 390),
(460, 400),
(470, 415),
], dtype=np.int32)
cv2.polylines(img, [pts3], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#Left eyebrow
pts4 = np.array([
(380, 400),
(370, 390),
(360, 385),
(350, 390),
(340, 400),
(330, 415),
], dtype=np.int32)
cv2.polylines(img, [pts4], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#Right eyelashes
pts5 = np.array([
(425, 418),
(430, 413),
(440, 408),
(450, 413),
(455, 423),
(460, 434),
], dtype=np.int32)
cv2.polylines(img, [pts5], False, ( 0, 0, 0), 2, cv2.LINE_AA)
pts5_5 = np.array([
(460, 434),
(458, 437),
], dtype=np.int32)
cv2.polylines(img, [pts5_5], False, ( 0, 0, 0), 1, cv2.LINE_AA)
#Left lashes
pts6 = np.array([
(375, 418),
(370, 413),
(360, 408),
(350, 413),
(345, 423),
(340, 434),
], dtype=np.int32)
cv2.polylines(img, [pts6], False, ( 0, 0, 0), 2, cv2.LINE_AA)
pts6_5 = np.array([
(340, 434),
(342, 437),
], dtype=np.int32)
cv2.polylines(img, [pts6_5], False, ( 0, 0, 0), 1, cv2.LINE_AA)
#nose
pts7 = np.array([
(401, 448),
(399, 450),
(401, 452),
], dtype=np.int32)
cv2.polylines(img, [pts7], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#mouth
pts8 = np.array([
(380, 470),
(385, 473),
(390, 474),
(400, 475),
(410, 474),
(415, 473),
(420, 470),
], dtype=np.int32)
cv2.polylines(img, [pts8], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#neck(right)
pts9 = np.array([
(425, 491),
(424, 500),
], dtype=np.int32)
cv2.polylines(img, [pts9], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#neck(left)
pts10 = np.array([
(375, 491),
(376, 500),
], dtype=np.int32)
cv2.polylines(img, [pts10], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#Right ear
pts11 = np.array([
(475, 430),
(480, 434),
(478, 440),
(475, 447),
(467, 450),
], dtype=np.int32)
cv2.polylines(img, [pts11], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#Left ear
pts11 = np.array([
(325, 430),
(320, 434),
(322, 440),
(325, 447),
(333, 450),
], dtype=np.int32)
cv2.polylines(img, [pts11], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#hair(Right outside)
pts12 = np.array([
(400, 270),
(415, 271),
(430, 273),
(440, 276),
(450, 280),
(460, 285),
(470, 290),
(480, 298),
(490, 309),
(495, 315),
(500, 330),
(504, 340),
(507, 350),
(509, 360),
(510, 370),
(510, 400),
(509, 430),
(507, 460),
(504, 500),
], dtype=np.int32)
cv2.polylines(img, [pts12], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#hair(Left outside)
pts13 = np.array([
(400, 270),
(385, 271),
(370, 273),
(360, 276),
(350, 280),
(340, 285),
(330, 290),
(320, 298),
(310, 309),
(305, 315),
(300, 330),
(296, 340),
(293, 350),
(291, 360),
(290, 370),
(290, 400),
(291, 430),
(293, 460),
(296, 500),
], dtype=np.int32)
cv2.polylines(img, [pts13], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#hair(Right inside)
pts16 = np.array([
(400, 305),
(401, 310),
(402, 320),
(403, 325),
(404, 350),
(405, 370),
(430, 372),
(450, 376),
(448, 350),
(444, 330),
(440, 315),
(448, 330),
(452, 350),
(456, 378),
(480, 385),
(488, 390),
], dtype=np.int32)
cv2.polylines(img, [pts16], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#hair(Left inside)
pts17 = np.array([
(400, 305),
(399, 310),
(398, 320),
(397, 325),
(396, 350),
(395, 370),
(370, 372),
(350, 376),
(352, 350),
(356, 330),
(360, 315),
(352, 330),
(348, 350),
(344, 378),
(320, 385),
(312, 390),
], dtype=np.int32)
cv2.polylines(img, [pts17], False, ( 0, 0, 0), 2, cv2.LINE_AA)
#Right cheek
cv2.line(img, (430, 460), (435, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (434, 460), (439, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (438, 460), (443, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (442, 460), (447, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (446, 460), (451, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
#Left cheek
cv2.line(img, (350, 460), (355, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (354, 460), (359, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (358, 460), (363, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (362, 460), (367, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.line(img, (366, 460), (371, 455), ( 0, 0, 0), 1, cv2.LINE_AA)
cv2.imshow('Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
4. Reference
Drawing with Python, OpenCV (lines, rectangles, circles, arrows, characters, etc.) | note.nkmk.me [Amazon.co.jp: How to Draw Moe Characters: Face / Body (Manga Technique Book) eBook: Tatsuya Ihara, Rounded Corners: Kindle Store] (https://www.amazon.co.jp/dp/B014KS0WGY)
5. Other
In OpenCV, the curve has only an arc (including an ellipse) and it is difficult to draw a curve, so the continuation is moving to GIMP Python-Fu. → Drawing an illustration with GIMP Python-Fu Part 1 --Qiita
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