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videobench.py
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#!/usr/local/bin/python3
from sys import argv
import sys
import argparse
import os
from shutil import copyfile
from shutil import rmtree
import json
from multiprocessing import Pool
from videobench_functions import *
tmp_path = "/tmp/videobench/"
#p = Pool(1)
def manage_ref_file(ref_file, loglevel):
ref_path, filename = os.path.split(ref_file)
copyfile(ref_file, tmp_path + filename) ################ copy ref file to local tmp path
ffprobe_json = get_video_streams_info(filename, loglevel) ############ get video file info
ref_obj = videoFileInfos()
ref_obj.path = ref_path
ref_obj.filename = filename
ref_obj.name , ext = os.path.splitext(filename)
fps_str = ffprobe_json['streams'][0]['r_frame_rate']
num,den = fps_str.split( '/' )
ref_obj.r_frame_rate = round((float(num)/float(den)),0)
fps_str = ffprobe_json['streams'][0]['avg_frame_rate']
num,den = fps_str.split( '/' )
ref_obj.avg_frame_rate = round((float(num)/float(den)),0)
ref_obj.codec_name = ffprobe_json['streams'][0]['codec_name']
ref_obj.resolution = [ffprobe_json['streams'][0]['width'], ffprobe_json['streams'][0]['height']]
make_packets_info(ref_obj, loglevel) ############################################################################### Bitrate from packets
data_json = json.load(open("{0}packets_{1}.json".format(tmp_path, ref_obj.name)))
pkt_size_list = []
for i in range(len(data_json['packets'])):
try:
pkt_size_list.append(int(data_json['packets'][i]["size"])*8/1000/1000)
except Exception:
pass
ref_obj.pkt_size = pkt_size_list
make_frames_info(ref_obj, loglevel)
data_json = json.load(open("{0}frames_{1}.json".format(tmp_path, ref_obj.name)))
interlaced_frame_list = []
ref_obj.frame_size = []
for i in range(len(data_json['frames'])):
try:
interlaced_frame_list.append(int(data_json['frames'][i]["interlaced_frame"]))
ref_obj.frame_size.append(int(data_json['frames'][i]["pkt_size"])*8/1000)
except Exception:
pass
ref_obj.interlaced = round(sum(interlaced_frame_list)/len(interlaced_frame_list))
ref_obj.bitrate_avg = round(sum(ref_obj.get_mbps())/len(ref_obj.get_mbps()),2)
print("-> {0} ".format(ref_obj.filename),flush=True)
print(" Bitrate : {1} Mbps".format(ref_obj.filename, round(ref_obj.bitrate_avg/1000,2)),flush=True)
print(" avg_framerate : {1}".format(ref_obj.filename, ref_obj.avg_frame_rate),flush=True)
print(" interlaced : {1} ".format(ref_obj.filename, ref_obj.interlaced),flush=True)
return ref_obj
def manage_input_files(all_input, loglevel):
for input_list in all_input:
for input_file in input_list:
input_path, filename = os.path.split(input_file)
copyfile(input_file, tmp_path + filename) ################################## copy input file to local tmp path
ffprobe_json = get_video_streams_info(filename, loglevel) ############################ get video file info
input_obj = videoFileInfos()
input_obj.filename = filename
input_obj.path = input_path
input_obj.name, ext = os.path.splitext(filename)
input_obj.duration = float(ffprobe_json['streams'][0]['duration'])
fps_str = ffprobe_json['streams'][0]['r_frame_rate']
num,den = fps_str.split( '/' )
input_obj.r_frame_rate = round((float(num)/float(den)),0)
fps_str = ffprobe_json['streams'][0]['avg_frame_rate']
num,den = fps_str.split( '/' )
input_obj.avg_frame_rate = round((float(num)/float(den)),0)
input_obj.codec_name = ffprobe_json['streams'][0]['codec_name']
input_obj.resolution = [ffprobe_json['streams'][0]['width'], ffprobe_json['streams'][0]['height']]
list_input_obj.append(input_obj)
arguments = []
for input_obj in list_input_obj:
#arguments.append([input_obj])
make_packets_info(input_obj, loglevel)
make_frames_info(input_obj, loglevel)
#p.map(call_packets_info, arguments)
#p.map(call_frames_info, arguments)
for input_obj in list_input_obj:
data_json = json.load(open("{0}packets_{1}.json".format(tmp_path, input_obj.name)))
pkt_size_list = []
for i in range(len(data_json['packets'])):
try:
pkt_size_list.append(int(data_json['packets'][i]["size"])*8/1000/1000)
except Exception:
pass
input_obj.pkt_size = pkt_size_list
data_json = json.load(open("{0}frames_{1}.json".format(tmp_path, input_obj.name)))
interlaced_frame_list = []
input_obj.frame_size = []
for i in range(len(data_json['frames'])):
try:
interlaced_frame_list.append(int(data_json['frames'][i]["interlaced_frame"]))
input_obj.frame_size.append(int(data_json['frames'][i]["pkt_size"])*8/1000)
except Exception:
pass
input_obj.interlaced = round(sum(interlaced_frame_list)/len(interlaced_frame_list))
input_obj.bitrate_avg = round(sum(input_obj.get_mbps())/len(input_obj.get_mbps()),2)
print("-> {0} ".format(input_obj.filename),flush=True)
print(" Bitrate : {1} Mbps".format(input_obj.filename, round(input_obj.bitrate_avg/1000,2)),flush=True)
print(" avg_framerate : {1}".format(input_obj.filename, input_obj.avg_frame_rate),flush=True)
print(" interlaced : {1} ".format(input_obj.filename, input_obj.interlaced),flush=True)
return list_input_obj
if __name__ == '__main__':
######################### declaration argument ##############
parser = argparse.ArgumentParser()
parser.add_argument('-ref', dest='ref', help="REFERENCE FILE")
parser.add_argument('-i', dest='input', nargs = '*', action='append', help="INPUT FILE")
parser.add_argument('-sync', dest='sync', default=0, help="time in s for synchronize input files with reference file (default=0)")
parser.add_argument('-sw', dest='sync_windows', default = 0, help="synchronisation windows - Try to find the best sync time from the sync time in this time windows (default=0)" )
parser.add_argument('-deint', dest='deint', default = "auto", help="Scale filter flags (default=auto)" )
parser.add_argument('-subsampling', dest='subsampling', default = "auto", help="Subsampling value (default=auto)" )
parser.add_argument('-scale', dest='scale', default = "neighbor", help="Scale filter flags (default=neighbor)" )
parser.add_argument('-vmaf_model', dest='vmaf_model', default = "auto", help="VMAF Model (default=auto)" )
parser.add_argument('-loglevel', dest='loglevel', default = "info", help="ffprobe/ffmpeg loglevel" )
parser.add_argument('-n_threads', dest='n_threads', default = 1, help="vmaf process number of threads" )
args = parser.parse_args()
ref_file = args.ref
all_input = args.input
sync_time = float(args.sync)
sync_windows = float(args.sync_windows)
deint_filter = args.deint
subsampling = args.subsampling
scale_filter = args.scale
vmaf_model = args.vmaf_model
loglevel = args.loglevel
n_threads = args.n_threads
os.makedirs(tmp_path, exist_ok=True)
if ref_file: ############################################################################ ref_file to ref_obj
print("* Analyzing Reference File...",flush=True)
ref_obj = manage_ref_file(ref_file, loglevel)
list_input_obj = [] ##################################################################### list_input_file to list_input_obj
if all_input and all_input != [['']]:
print("* Analyzing tests Files...",flush=True)
list_input_obj = manage_input_files(all_input, loglevel)
if sync_windows :
print("* Search sync values...",flush=True)
print(" ",flush=True)
for input_obj in list_input_obj:
input_obj.vmaf_model = vmaf_model
input_obj.ref_deint = deint_filter
input_obj.n_subsample = subsampling
input_obj.scale_filter = scale_filter
input_obj.sync = sync_time
if ref_file and all_input : ############################################################# create quality json (VMAF +PSNR)
arguments = []
print("* Quality measures...",flush=True)
for input_obj in list_input_obj:
input_obj.ref_file = ref_obj.filename
if input_obj.ref_deint == "auto":
set_reference_deint(ref_obj, input_obj)
if input_obj.n_subsample == "auto":
set_subsampling(ref_obj, input_obj)
if sync_windows :
input_obj.sync = find_sync_values (ref_obj, input_obj, sync_time, sync_windows)
set_vmaf_model(ref_obj, input_obj)
set_scaling_filter(ref_obj, input_obj)
#arguments.append([ref_obj, input_obj])
make_quality_info(ref_obj, input_obj, loglevel, n_threads)
#p.map(call_quality_info, arguments)
for input_obj in list_input_obj: #################################################### read quality json
try:
data_json = json.load(open("{0}quality_{1}.json".format( tmp_path , input_obj.name)))
except:
with open("{0}quality_{1}.json".format( tmp_path , input_obj.name), 'r') as file : #################### replace nan by 0
filedata = file.read()
# Replace the target string
filedata = filedata.replace("nan", "0")
# Write the file out again
with open("{0}quality_{1}.json".format( tmp_path , input_obj.name), 'w') as file:
file.write(filedata)
data_json = json.load(open("{0}quality_{1}.json".format( tmp_path , input_obj.name)))
vmaf_values = []
psnr_values = []
for i in range(len(data_json['frames'])):
try:
vmaf_values.append(data_json['frames'][i]["metrics"]["vmaf"]) ################################# get vmaf values (libvmaf)
except Exception:
pass
try:
psnr_values.append(data_json['frames'][i]["metrics"]["psnr"]) ################################# get psnr values (libvmaf)
except Exception:
pass
input_obj.vmaf = vmaf_values
input_obj.vmaf_avg = round(sum(vmaf_values)/len(vmaf_values), 2)
input_obj.psnr = psnr_values
input_obj.psnr_avg = round(sum(psnr_values)/len(psnr_values), 2)
print("* Results...",flush=True)
for input_obj in list_input_obj:
output_json = json.dumps(input_obj.__dict__, sort_keys=True, indent=4)
print("",flush=True)
print("-> {0}".format(input_obj.filename),flush=True)
print(" Bitrate AVG : {0} Mbps".format(input_obj.bitrate_avg),flush=True)
print(" PSNR AVG : {0}".format(input_obj.psnr_avg),flush=True)
print(" VMAF AVG : {0}".format(input_obj.vmaf_avg),flush=True)
######## tests files json output #####
f = open("{0}/{1}.json".format(input_obj.path, input_obj.name),'w')
f.write(output_json)
f.close()
print("* Done!",flush=True)
if ref_file:
######## ref json output #####
output_json = json.dumps(ref_obj.__dict__, sort_keys=True, indent=4)
f = open("{0}/{1}.json".format(ref_obj.path, ref_obj.name),'w')
f.write(output_json)
f.close()