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Vector Magic
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Redditi like reddit very much
Based on our record, Reddit seems to be a lot more popular than Vector Magic. While we know about 3301 links to Reddit, we've tracked only 37 mentions of Vector Magic. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 4 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 3 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 5 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 5 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
I used this tool. I tried a number of them and this seemed the best: https://vectormagic.com/. - Source: Hacker News / over 1 year ago
I looked at a bunch of Vectorising tools, and in the end used https://vectormagic.com/. - Source: Hacker News / over 1 year ago
I think vector magic is the current state of the art: https://vectormagic.com/?=20 No one seems to have tried to leverage deep learning yet; either because they haven't thought of doing so, or it just wouldn't be worthwhile. Image to SVG's are an inherently deterministic task, with not much room for the noisy error of most deep learning models like stable diffusion and such. I think algorithmic approaches... - Source: Hacker News / over 2 years ago
The best pixel to vector is still vectormagic. They are on it since at least 2009 and have a native desktop app. I am not affiliated but just a bit flabbergasted that they are still so far ahead. https://vectormagic.com/. - Source: Hacker News / over 2 years ago
This is the most impressive raster to vector I have seen: https://vectormagic.com Vtracer doesn't seem to do as well. - Source: Hacker News / over 2 years ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
YouTube - Our mission is to give everyone a voice and show them the world.
Sketch - Professional digital design for Mac.