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Docin document downloader
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############################################################################### | |
# | |
# Docin document downloader | |
# | |
# Valid as of 2022-16-08 | |
# | |
############################################################################### | |
import argparse | |
import os | |
from types import SimpleNamespace | |
import urllib.request | |
conf = SimpleNamespace( | |
docin_pid = 0, | |
output_dir = "" | |
) | |
def download_image(pid): | |
i = 0 | |
while True: | |
i += 1 | |
try: | |
urllib.request.urlretrieve( | |
"http://211.147.220.164/index.jsp?file={}&pageno={}&width=1836&height=2376".format(pid, i), | |
os.path.join(conf.output_dir, "{0:03d}.png".format(i)) | |
) | |
except urllib.error.HTTPError: | |
break | |
else: | |
print("Page", i, "saved.") | |
if __name__ == "__main__": | |
# Parse the arguments | |
parser = argparse.ArgumentParser() | |
parser.add_argument("docin_pid", type=str, help="The number after \"p-\" in docin url") | |
parser.add_argument("output_dir", type=str, help="The output directory") | |
args = parser.parse_args() | |
conf.docin_pid = args.docin_pid | |
conf.output_dir = args.output_dir | |
# Do the work | |
download_image(conf.docin_pid) |
You could try to level adjust curves in photoshop, until the watermark
disappears and then save profile into acv file
Then apply this curves in python
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Wish we could find a way to auto-remove the watermark!
If it's just a simple B&W image (white background & black-ish text), then a very primitive levels adjustment can be made to offset the whites value (a brighter white point I believe) and subsequently crush those grey values. This obviously isn't ideal though...