我有一个Chrome扩展程序,用于更改网页图像中的颜色。激活扩展程序后(通过Chrome浏览器工具栏上的图标),标签中所有打开页面中的图像都会重新着色。更新选项卡的URL后,图像也会重新着色。但是,在显示重新着色的图像之前,显示了原始图像。 为了解决它,我隐藏了文档(通过" esconde.js")。然后拨打" recolor.js"它会对图像进行更改,最后会注入" mostra.js",使文档可见。 使用此代码,假设文档仅在图像重新着色后才可见,因为脚本" mostra.js"是一个回调脚本" recolor.js" 。我不知道为什么它没有按预期发生,因为在大多数页面中我仍然看到重新着色前的原始图像。 我读了几件事,我认为(或许)与" chrome.webnavigation.oncommitted.addlistener"而不是" chrome.tabs.onUpdated.addListener"它可以解决。 但是,我不知道如何替换" chrome.tabs.onUpdated.addListener" by" chrome.webnavigation.oncommitted.addlistener" (虽然它基本)。 请有人帮我完成这项任务吗?
chrome.tabs.onUpdated.addListener(function(tabid, info, tab) {
if (flag){
if (info.status != "complete")
chrome.tabs.executeScript(tabid, {file:"esconde.js", runAt: 'document_start' });
if (info.status == "complete") {
chrome.tabs.executeScript(tabid, {file:"recolor.js", runAt: 'document_start' }, function() {
chrome.tabs.executeScript(tabid, {file:"mostra.js", runAt: 'document_start' });
});
chrome.browserAction.setIcon({path: "off.png", tabId:tab.id});
}
}
});
答案 0 :(得分:1)
我猜chrome.webNavigation.onDOMContentLoaded会更适合这项任务:
chrome.webNavigation.onDOMContentLoaded.addListener(function(details) {
chrome.tabs.executeScript(details.tabId, ...)
});
答案 1 :(得分:0)
具有箭头功能(大多数现代浏览器支持)和过滤器:
import cv2
import numpy as np
font = cv2.FONT_HERSHEY_COMPLEX
img = cv2.imread('img.png', cv2.IMREAD_COLOR)
# Remove image borders
img = img[20:-20, 20:-20, :]
imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# https://pysource.com/2018/09/25/simple-shape-detection-opencv-with-python-3/
# From the black and white image we find the contours, so the boundaries of all the shapes.
_, threshold = cv2.threshold(imgray, 127, 255, cv2.THRESH_BINARY)
_, contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
c = contours[0]
peri = cv2.arcLength(c, closed=True)
approx = cv2.approxPolyDP(c, epsilon=0.01 * peri, closed=True)
# Delat threshold
t = 10
# n - Number of vertices
n = approx.shape[0]
for i in range(n):
# p1 p2
# *--------------*
# |
# |
# |
# *
# p0
p0 = approx[(i+n-1) % n][0] # Previous vertex
p1 = approx[i][0] # Current vertex
p2 = approx[(i + 1) % n][0] # Next vertex
dx = p2[0] - p1[0] # Delta pixels in horizontal direction
dy = p2[1] - p1[1] # Delta pixels in vertical direction
# Fix x index of vertices p1 and p2 to be with same x coordinate ([<p1>, <p2>] form horizontal line).
if abs(dx) < t:
if ((dx < 0) and (p0[0] > p1[0])) or ((dx > 0) and (p0[0] < p1[0])):
p2[0] = p1[0]
else:
p1[0] = p2[0]
# Fix y index of vertices p1 and p2 to be with same y coordinate ([<p1>, <p2>] form vertical line).
if abs(dy) < t:
if ((dy < 0) and (p0[1] > p1[1])) or ((dy > 0) and (p0[1] < p1[1])):
p2[1] = p1[1]
else:
p1[1] = p2[1]
approx[i][0] = p1
approx[(i + 1) % n][0] = p2
cv2.drawContours(img, [approx], 0, (0, 255, 0), 1)
# Finally we display everything on the screen:
cv2.imshow("img", img)
cv2.waitKey(0)
cv2.destroyAllWindows()