English: Kerbs (Australian/British/New Zealand English) or curbs (American/Canadian English) separate streets, roads, and other vehicular routes from sidewalks, planting beds, bikeways, separated lanes, and other road and landscape elements. This category has the following 17 subcategories, out of 17 total.

2025年1月10日 · Original file (1,019 × 1,500 pixels, file size: 230 KB, MIME type: image/jpeg) This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license. attribution – You must give appropriate credit, provide a …

2023年10月30日 · Curbs are the circulation elements that make up the edge of where a raised sidewalk or a median meets a street or roadway. The main purpose of Curbs is to help delineate the edge of the pavement that separates the road from sidewalks and prevent drivers from possibly parking and driving on any sidewalks or lawns.

2019年1月11日 · English: A Curb cut (U.S.), curb ramp-dropped kerb (UK), pram ramp-kerb ramp (Australia). This is a permanent ramp from a sidewalk down to a street (and often crosswalk) for safety and disability access. This category has the following 2 subcategories, out of 2 total. The following 37 files are in this category, out of 37 total.

Here is the curb.jpg image. The goal for this problem is to change the curb to look blue so we can get a much more expensive parking ticket. Detect the red pixels of the curb using the avg technique as usual.

Challenge: write code to detect the red curb, tuning the 1.1 factor to look the best. Then (a) change the curb to medium gray red=120 green=120 blue=120. (b) change just the curb to be grayscale, which will look more realistic. Rather than changing the whole image to grayscale, we change just the red areas.

2017年4月3日 · Q3: Here is the curb.jpg image: The goal for this problem is to change the curb to look blue. Detect the red pixels of the curb using the avg technique. For each pixel, change its red and green values to be half the average value, and change its blue value to …

2020年3月31日 · The goal for this problem is to change the curb to look blue. Detect the red pixels of the curb using the avg technique. For each pixel, change its red and green values to be half the average value, and change its blue value to 1.2 times the average value. In effect, this sets red and green low and blue high, making it look kind of blue.

2023年4月27日 · from PIL import Image img = Image.open('curb.jpg') pixels = img.load() w,h = img.size for x in range(w): for y in range(h): r,g,b = pixels[x,y] avg = (r+g+b)/3 if r>avg*1.1: pixels[x,y] = int(avg),int(avg),int(avg) img.show() 分割星云图：