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########################################################################### | |
# DO NOT OPEN THIS DOCUMENT IN GOOGLE TRANSLATE OR BAD THINGS WILL HAPPEN # | |
########################################################################### | |
# General info: | |
# 1. Do not include core filters in the list | |
# 2. Specify the lowest mode that produces correct output with any settings. | |
# For example if something works with MT_MULTI_INSTANCE on some parameters and MT_SERIALIZED with other, MT_SERIALIZED should be used | |
# You can of course specify this in comments so people who do want to get MAXIMUM PERFORMANCE can modify the script themselves. | |
# 3. Do not specify MT modes for runtime filters. Behaviour of runtime filtering with mt is not very well known yet. | |
# 4. In case it isn't obvious, NICE_FILTER - mt mode 1, MULTI_INSTANCE - mt mode 2, SERIALIZED - mt mode 3. Variables are defined by avs+ core. |
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''' | |
A simple script that can remove useless \iclip's and invisible lines from your ass subtitles. | |
Usage: clean-iclips.py script.ass | |
It will not overwrite the input file. Probably. | |
You have to have avisynth, avsmeter, masktools and vsfilter plugin installed. | |
Also be sure the fonts are loaded (e.g. using some font manager), otherwise it might remove wrong clips/lines. | |
Poorly written by tp7, must be used for no evil. | |
''' |
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# -*- coding: utf-8 -*- | |
import mmap | |
import ctypes | |
def run(): | |
code_stream = mmap.mmap(-1, 4096, mmap.MAP_PRIVATE, | |
mmap.PROT_EXEC | mmap.PROT_READ | mmap.PROT_WRITE) | |
code_stream.write(b"\x01\xf7") # add edi, esi | |
code_stream.write(b"\x89\xf8") # mov eax, edi |
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# -*- coding: utf-8 -*- | |
import cv2 | |
import numpy as np | |
binary_operators = { | |
"+": lambda x, y: x + y, | |
"-": lambda x, y: x - y, | |
"*": lambda x, y: x * y, | |
"/": lambda x, y: x / y, | |
} |
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# -*- coding: utf-8 -*- | |
import numpy as np | |
import vapoursynth as vs | |
def bool_to_number(function): | |
def wrapped(*args): | |
value = function(*args) | |
return np.where(value, np.array(1.0), np.array(-1.0)) | |
return wrapped |