151 lines
3.3 KiB
Python
151 lines
3.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on Tue Sep 19 18:17:55 2023
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@author: ym
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"""
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import cv2
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import os
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import numpy as np
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def tempt_add_adjc():
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temp = cv2.imread("img.png")
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path = r"D:\DeepLearning\yolov5\runs\trajectory"
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patr = r"D:\DeepLearning\yolov5\tracking\result"
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for filename in os.listdir(path):
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imgpath = os.path.join(path, filename)
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img = cv2.imread(imgpath)
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img1 = cv2.add(img, temp)
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img1path = os.path.join(patr, filename)
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cv2.imwrite(img1path, img1)
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def temp_add_boarder():
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temp = cv2.imread("cartedge.png")
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temp[640:, 0:20, :] = 255
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temp[640:, -20:, :] = 255
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temp[-20:, :, :] = 255
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cv2.imwrite("cartboarder.png", temp)
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def create_front_temp():
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image = cv2.imread("image_front.png")
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Height, Width = image.shape[:2]
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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thresh, binary = cv2.threshold(gray, 1, 255, cv2.THRESH_BINARY_INV)
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board = cv2.bitwise_not(binary)
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contours, _ = cv2.findContours(board, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
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k = 0
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for cnt in contours:
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img = np.zeros((Height, Width), dtype=np.uint8)
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cv2.drawContours(img, [cnt], -1, 255, 3)
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k += 1
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cv2.imwrite(f"fronttemp_{k}.png", img)
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imgshow = cv2.drawContours(image, contours, -1, (0,255,0), 3)
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cv2.imwrite("board_ftmp_line.png", imgshow)
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# cv2.imwrite("4.png", board)
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# cv2.imwrite("1.png", gray)
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# cv2.imwrite("2.png", binary)
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def create_back_temp():
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'''
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image1.png：从中获取轮廓的初始图像
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image2.png：主要用于显示效果
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Return：img.png
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'''
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image = cv2.imread("image1.png")
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Height, Width = image.shape[:2]
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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gray[:405, :] = 0
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thresh, binary = cv2.threshold(gray, 254, 255, cv2.THRESH_BINARY)
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cv2.imwrite("shopcart.png", binary)
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imgshow = cv2.cvtColor(binary, cv2.COLOR_GRAY2BGR)
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contours, _ = cv2.findContours(binary, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
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imgshow = cv2.drawContours(imgshow, contours, -1, (0,255,0), 1)
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cv2.imwrite("imgshow.png", imgshow)
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image2 = cv2.imread("image2.png")
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image2 = cv2.drawContours(image2, contours, -1, (0,255,0), 3)
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for cnt in contours:
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_, start, _, num = cv2.boundingRect(cnt)
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x1 = (cnt[:, 0, 0] != 0)
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x2 = (cnt[:, 0, 0] != Width-1)
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x3 = (cnt[:, 0, 1] != Height-1)
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x = (x1 & x2) & x3
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idx = np.where(x)
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cntx = cnt[idx, :, :][0]
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cnt1 = cntx[:,0,:].copy()
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cntx[:, 0, 1] -= 60
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cnt2 = cntx[:,0,:].copy()
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cv2.drawContours(image2,[cntx], 0, (0,0,255), 2)
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img = np.zeros(gray.shape, np.uint8)
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for i in range(len(cnt1)):
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x1, y1 = cnt1[i]
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x2, y2 = cnt2[i]
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cv2.rectangle(img, (x1-1, y1-1), (x1+1, y1+1), 255, 1)
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cv2.rectangle(img, (x2-1, y2-1), (x2+1, y2+1), 255, 1)
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cv2.imwrite("img.png", img)
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if __name__ == "__main__":
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# create_back_temp()
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# temp_add_boarder()
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# tempt_add_adjc()
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create_front_temp()
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