381 lines
9.8 KiB
Python
Executable File
381 lines
9.8 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import time
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import csv
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import ffmpy
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from multiprocessing import cpu_count
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from collections import OrderedDict
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import json
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from typing import Union, Any
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# encoding options used
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encoding: dict[str, Any] = {
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"libx264": {
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"crf": [10, 14, 16, 18, 20, 22, 25],
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"presets": [
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"superfast",
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"veryfast",
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"faster",
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"fast",
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"medium",
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"slow",
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"slower",
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"veryslow",
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],
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},
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"libx265": {
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"crf": [10, 14, 16, 18, 20, 22, 25],
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"presets": [
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"superfast",
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"veryfast",
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"faster",
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"fast",
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"medium",
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"slow",
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"slower",
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"veryslow",
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],
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},
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"libaom-av1": {"crf": [20, 25, 30, 35, 40], "presets": [0, 2, 4, 6]},
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"libsvtav1": {"crf": [20, 25, 30, 35, 40], "presets": [0, 4, 8, 12]},
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}
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# program version
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# make tests reproducible by tag
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version = "v0.0.1a3"
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# always round timestamp to integer
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def now():
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return int(time.time())
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def write_line(
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datafile: str,
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codec: str,
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crf: int,
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preset: Union[str, int],
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infile: str,
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outfilesize: float,
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enctime: int,
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vmafmean: float,
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vmafmin: float,
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ssim: float,
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mse: float,
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):
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"""
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Write line to data csv
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Parameters:
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datafile (str): Path to output CSV filename
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codec (str): Codec used
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crf (int): CRF used
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preset (str/int): Preset used
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infile (str): Input file name
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outfilesize (float): Size of output file
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enctime (int): Time to encode
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vmafmean (float): Mean VMAF score
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vmafmin (float): Min VMAF score
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ssim (float): SSIM Score
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mse (float): MSE Score
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"""
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with open(datafile, "a", newline="") as file:
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write = csv.writer(file)
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write.writerow(
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(
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codec,
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crf,
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preset,
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infile,
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outfilesize,
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enctime,
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vmafmean,
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vmafmin,
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ssim,
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mse,
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)
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)
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def encode_general(
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inputfile: str, outputfile: str, codec: str, crf: int, preset: Union[str, int]
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):
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"""
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General encoding function
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Parameters:
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inputfile (str): Path to input file
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outputfile (str): Path to output file
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codec (str): Codec used
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crf (int): CRF value
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preset (str/int): Choosen preset
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"""
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ff = ffmpy.FFmpeg(
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inputs={inputfile: None},
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outputs={
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outputfile: "-c:v {videocodec} -crf {crf} -preset {preset} -g 240 -map 0:v:0 ".format(
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videocodec=codec,
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crf=crf,
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preset=preset,
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)
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},
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)
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return ff
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def encode_libaom(inputfile: str, outputfile: str, crf: int, preset: Union[str, int]):
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"""
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Encoding with libaom
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Parameters:
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inputfile (str): Path to input file
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outputfile (str): Path to output file
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crf (int): CRF value
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preset (str/int): Choosen preset
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"""
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ff = ffmpy.FFmpeg(
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inputs={inputfile: None},
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outputs={
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outputfile: "-c:v libaom-av1 -crf {crf} -b:v 0 -cpu-used {preset} -row-mt 1 -tiles 2x2 -g 240 -map 0:v:0 ".format(
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crf=crf,
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preset=preset,
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)
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},
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)
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return ff
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def score_vmaf(outputfile: str, inputfile: str) -> dict[str, float]:
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"""
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Calculate a file's VMAF score. Higher is better
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Parameters:
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outputfile (str): Path to output file
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inputfile (str): Path to input file
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Return:
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dict[str, float]: VMAF mean and min value
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"""
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ff = ffmpy.FFmpeg(
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inputs=OrderedDict([(outputfile, None), (inputfile, None)]),
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outputs={
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"-": "-filter_complex libvmaf=log_fmt=json:n_threads={cputhreads}:log_path=vmaf.json -f null".format(
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cputhreads=cpu_count()
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)
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},
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)
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ff.run()
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with open("vmaf.json", "r") as file:
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vmafall = json.load(file)
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vmaf: dict[str, float] = {
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"mean": vmafall["pooled_metrics"]["vmaf"]["mean"],
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"min": vmafall["pooled_metrics"]["vmaf"]["min"],
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}
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return vmaf
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def parse_kv_files(inputfile: str) -> list[dict[str, Any]]:
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# create list of dicts. Each dict is one line in the file
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lines: list[dict[str, Any]] = []
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# Steps to get mse value
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with open(inputfile) as file:
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for line in file:
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linelist = line.rstrip().split()
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# NOTE stripping the last item because ssim has values like this in the location: (26.088579)
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# For PSNR, psnr_v:87.80 is affected. (YUV color space). Not really a priority to fix atm
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linedict = dict(kv.split(":") for kv in linelist[:-1])
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lines.append(linedict)
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return lines
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def score_ssim(outputfile: str, inputfile: str):
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"""
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Calculate a file's SSIM rating. TBD
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Parameters:
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outputfile (str): Path to output file
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inputfile (str): Path to input file
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Return:
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TBD
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"""
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ff = ffmpy.FFmpeg(
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inputs=OrderedDict([(outputfile, None), (inputfile, None)]),
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outputs={"-": "-lavfi ssim=stats_file=ssim.log -f null"},
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)
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ff.run()
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# get average ssim value
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ssim: list[dict[str, Any]] = parse_kv_files("ssim.log")
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# add all ssim_avg values together
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ssim_tot: float = 0.0
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for i in ssim:
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ssim_tot += float(i["All"])
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# get mse average
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ssim_avg: float = ssim_tot / len(ssim)
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return ssim_avg
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def score_psnr(outputfile: str, inputfile: str) -> float:
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"""
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Calculate a file's MSE (mean-square error) using PSNR. A lower value is better
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Parameters:
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outputfile (str): Path to output file
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inputfile (str): Path to input file
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Return:
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TODO
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"""
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ff = ffmpy.FFmpeg(
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inputs=OrderedDict([(outputfile, None), (inputfile, None)]),
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outputs={"-": "-lavfi psnr=stats_file=psnr.log -f null"},
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# outputs={"-": "-filter_complex psnr=stats_file=psnr.log -f null"},
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)
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ff.run()
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# get average mse value
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psnr: list[dict[str, Any]] = parse_kv_files("psnr.log")
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# add all mse_avg values together
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mse_tot: float = 0.0
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for i in psnr:
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mse_tot += float(i["mse_avg"])
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# get mse average
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mse_avg: float = mse_tot / len(psnr)
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return mse_avg
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def main(inputfile: str, outputpath: str = "encodes"):
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"""
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Main program function so this program can be used from the command line or as a library import.
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Parameters:
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inputfile (str): Path to input video file
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Optional Parameters:
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outputpath (str): Path to output folder. Defaults to "encodes" in the current working directory
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"""
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if not os.path.isdir(outputpath):
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os.mkdir(outputpath)
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datafile = version + "-data-" + str(now()) + ".csv"
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inputfilename = os.path.basename(os.path.splitext(inputfile)[0])
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with open(datafile, "w", newline="") as file:
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write = csv.writer(file)
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write.writerow(
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(
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"Codec",
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"CRF",
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"Preset",
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"Input file",
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"Output file size (MiB)",
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"Encode time (s)",
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"VMAF Score (mean)",
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"VMAF Score (min)",
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"SSIM Score",
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"MSE Score",
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)
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)
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for codec in encoding:
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for crf in encoding[codec]["crf"]:
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for preset in encoding[codec]["presets"]:
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# TODO selection of output location with arguments?
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outputfile = os.path.join(
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outputpath,
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(
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inputfilename
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+ "-codec_"
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+ codec
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+ "-crf_"
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+ str(crf)
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+ "-preset_"
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+ str(preset)
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+ ".mkv"
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),
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)
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# libaom needs additional options
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if codec == "libaom-av1":
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ff = encode_libaom(
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inputfile=inputfile,
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outputfile=outputfile,
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crf=crf,
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preset=preset,
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)
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else:
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ff = encode_general(
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inputfile=inputfile,
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outputfile=outputfile,
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codec=codec,
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crf=crf,
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preset=preset,
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)
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# execute previously defined encoding settings
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starttime = now()
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ff.run()
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endtime = now()
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difftime = int(endtime - starttime)
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outputfilesize = os.path.getsize(outputfile) / 1024 / 1024
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vmaf = score_vmaf(outputfile=outputfile, inputfile=inputfile)
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ssim = score_ssim(outputfile=outputfile, inputfile=inputfile)
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mse = score_psnr(outputfile=outputfile, inputfile=inputfile)
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write_line(
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datafile=datafile,
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codec=codec,
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crf=crf,
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preset=preset,
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infile=os.path.basename(inputfile),
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outfilesize=outputfilesize,
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enctime=difftime,
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vmafmean=vmaf["mean"],
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vmafmin=vmaf["min"],
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ssim=ssim,
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mse=mse,
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)
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# TODO make removal optional/togglable with cli switch
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os.remove(outputfile)
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os.remove("vmaf.json")
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os.remove("ssim.log")
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os.remove("psnr.log")
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if __name__ == "__main__":
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# TODO expose this as variable/argument?
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outputpath: str = ""
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inputfile: str = "source/Sparks_in_Blender.webm"
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main(inputfile=inputfile)
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