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참조 https://github.com/ndb796/Python-Data-Analysis-and-Image-Processing-Tutorial

https://www.youtube.com/watch?v=ovsK_AxqFIQ&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=21 이미지 인식을 만드는데, 문제가 이런식으로 이미지 한개씩 따와야하는데 이미지 2개를 한개라고 openCV가 인식하는 경우가 있음 openCV에서 크기 범위를 잘 지정해주는 것이 필요함.

참조 https://www.youtube.com/watch?v=2zdiZI1ndjo&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=20

참조 https://github.com/ndb796/SCTF2017-Writeups/tree/master/ASM

참조 [1] - https://www.youtube.com/watch?v=vKktSCf2ru0&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=19

참조 https://www.youtube.com/watch?v=5V_iHjiey2o&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=16

참조 https://www.youtube.com/watch?v=E8LPYLcIn4Q&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=14

참조 https://www.youtube.com/watch?v=2SwYwlVcxhA&list=PLRx0vPvlEmdBx9X5xSgcEk4CEbzEiws8C&index=13

TrackBar import cv2 import numpy as np def change_color(x): r = cv2.getTrackbarPos("R", "Image") g = cv2.getTrackbarPos("G", "Image") b = cv2.getTrackbarPos("B", "Image") image[:] = [b, g, r] cv2.imshow('Image', image) image = np.zeros((600, 400, 3), np.uint8) cv2.namedWindow("Image") cv2.createTrackbar("R", "Image", 0, 255, change_color) cv2.createTrackbar("G", "Image", 0, 255, change_color) cv..