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hstable/GoogleImageCrawler

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AutoCrawler

Google, Naver multiprocess image crawler (High Quality & Speed & Customizable)

How to use

  1. Install Chrome

  2. pip install -r requirements.txt

  3. Write search keywords in keywords.txt

  4. Run "main.py"

  5. Files will be downloaded to 'download' directory.

Arguments

usage:

python3 main.py [--skip true] [--threads 4] [--google true] [--naver true] [--full false] [--face false] [--no_gui auto] [--limit 0]
--skip true Skips keyword if downloaded directory already exists. This is needed when re-downloading.
--threads 4 Number of threads to download.
--google true Download from google.com (boolean)
--naver true Download from naver.com (boolean)
--full false Download full resolution image instead of thumbnails (slow)
--face false Face search mode
--no_gui auto No GUI mode. (headless mode) Acceleration for full_resolution mode, but unstable on thumbnail mode.
 Default: "auto" - false if full=false, true if full=true
 (can be used for docker linux system)
 
--limit 0 Maximum count of images to download per site. (0: infinite)
--proxy-list '' The comma separated proxy list like: "socks://127.0.0.1:1080,http://127.0.0.1:1081".
 Every thread will randomly choose one from the list.

Full Resolution Mode

You can download full resolution image of JPG, GIF, PNG files by specifying --full true

Data Imbalance Detection

Detects data imbalance based on number of files.

When crawling ends, the message show you what directory has under 50% of average files.

I recommend you to remove those directories and re-download.

Remote crawling through SSH on your server

sudo apt-get install xvfb <- This is virtual display
sudo apt-get install screen <- This will allow you to close SSH terminal while running.
screen -S s1
Xvfb :99 -ac & DISPLAY=:99 python3 main.py

Customize

You can make your own crawler by changing collect_links.py

Issues

As google site consistently changes, please make issues if it doesn't work.

About

Google, Naver multiprocess image web crawler (Selenium)

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  • Python 100.0%

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