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| import cv2 | |
| import numpy as np | |
| import lib_ip.block_division as blk | |
| import lib_ip.ip_preprocessing as pre | |
| import lib_ip.ip_detection as det | |
| def nothing(x): | |
| pass | |
| def get_contour(org, binary): | |
| def cvt_bbox(bbox): | |
| ''' | |
| x,y,w,h -> colmin, rowmin, colmax, rowmax | |
| ''' | |
| return bbox[0], bbox[1], bbox[0] + bbox[2], bbox[1] + bbox[3] | |
| board = org.copy() | |
| hie, contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
| res_contour = [] | |
| for i in range(len(contours)): | |
| if cv2.contourArea(contours[i]) < 200: | |
| continue | |
| cnt = cv2.approxPolyDP(contours[i], 0.001*cv2.arcLength(contours[i], True), True) | |
| res_contour.append(cnt) | |
| cv2.drawContours(board, res_contour, -1, (0,0,255), 1) | |
| return board | |
| img_file = 'E:\\Mulong\\Datasets\\rico\\combined\\1014.jpg' | |
| resize_height = 800 | |
| cv2.namedWindow('control') | |
| cv2.createTrackbar('resize_height', 'control', 800, 1600, nothing) | |
| cv2.createTrackbar('grad_min', 'control', 4, 255, nothing) | |
| cv2.createTrackbar('grad_min_blk', 'control', 5, 255, nothing) | |
| cv2.createTrackbar('c1', 'control', 1, 1000, nothing) | |
| cv2.createTrackbar('c2', 'control', 1, 1000, nothing) | |
| while 1: | |
| resize_height = cv2.getTrackbarPos('resize_height', 'control') | |
| grad_min = cv2.getTrackbarPos('grad_min', 'control') | |
| grad_min_blk = cv2.getTrackbarPos('grad_min_blk', 'control') | |
| c1 = cv2.getTrackbarPos('c1', 'control') | |
| c2 = cv2.getTrackbarPos('c2', 'control') | |
| org, grey = pre.read_img(img_file, resize_height) | |
| # org = cv2.medianBlur(org, 3) | |
| # org = cv2.GaussianBlur(org, (3,3), 0) | |
| binary = pre.binarization(org, grad_min) | |
| binary_r = pre.reverse_binary(binary) | |
| # blk.block_division(grey, grad_thresh=grad_min_blk, step_v=10, step_h=10, show=True) | |
| cv2.imshow('bijn', binary) | |
| cv2.imshow('r', binary_r) | |
| cv2.waitKey(10) | |
| # canny = cv2.Canny(grey, c1, c2) | |
| # hie, contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
| # b_contour = get_contour(org, binary) | |
| # c_contour = get_contour(org, canny) | |
| # b_contour = cv2.hconcat([b_contour, c_contour]) | |
| # binary = cv2.hconcat([binary, binary_r, canny]) | |
| # cv2.imshow('org', org) | |
| # cv2.imshow('b_cnt', b_contour) | |
| # cv2.imshow('bin', binary) | |
| # cv2.imshow('canny', canny) | |