| #!/usr/bin/env python |
| ## Copyright (c) 2019, Alliance for Open Media. All rights reserved |
| ## |
| ## This source code is subject to the terms of the BSD 2 Clause License and |
| ## the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License |
| ## was not distributed with this source code in the LICENSE file, you can |
| ## obtain it at www.aomedia.org/license/software. If the Alliance for Open |
| ## Media Patent License 1.0 was not distributed with this source code in the |
| ## PATENTS file, you can obtain it at www.aomedia.org/license/patent. |
| ## |
| __author__ = "maggie.sun@intel.com, ryan.lei@intel.com" |
| |
| import os |
| import sys |
| import xlsxwriter |
| import argparse |
| import numpy as np |
| import scipy.interpolate |
| |
| from EncDecUpscale import Run_EncDec_Upscale, GetBsReconFileName |
| from VideoScaler import GetDownScaledOutFile, DownScaling |
| from CalculateQualityMetrics import CalculateQualityMetric, GatherQualityMetrics |
| from Utils import GetShortContentName, CreateChart_Scatter,\ |
| AddSeriesToChart_Scatter, InsertChartsToSheet, CreateNewSubfolder,\ |
| SetupLogging, UpdateChart, AddSeriesToChart_Scatter_Rows,\ |
| Cleanfolder, CreateClipList, Clip |
| from PostAnalysis_Summary import GenerateSumRDExcelFile,\ |
| GenerateSumCvxHullExcelFile |
| from ScalingTest import Run_Scaling_Test, SaveScalingResultsToExcel |
| import Utils |
| from operator import itemgetter |
| from Config import LogLevels, FrameNum, QPs, CvxH_WtCols,\ |
| CvxH_WtRows, QualityList, LineColors, SummaryOutPath, WorkPath, \ |
| Path_RDResults, DnScalingAlgos, UpScalingAlgos, ConvexHullColor, \ |
| EncodeMethods, CodecNames, LoggerName, DnScaleRatio, TargetQtyMetrics, \ |
| CvxHDataRows, CvxHDataStartRow, CvxHDataStartCol, CvxHDataNum, \ |
| Int_ConvexHullColor, EnablePreInterpolation |
| |
| ############################################################################### |
| ##### Helper Functions ######################################################## |
| def CleanIntermediateFiles(): |
| folders = [Path_DecodedYuv, Path_CfgFiles] |
| if not KeepUpscaledOutput: |
| folders += [Path_DecUpScaleYuv, Path_UpScaleYuv] |
| |
| for folder in folders: |
| Cleanfolder(folder) |
| |
| def GetRDResultExcelFile(clip): |
| contentBaseName = GetShortContentName(clip.file_name, False) |
| filename = "RDResults_%s_%s_%s_%s.xlsx" % (contentBaseName, EncodeMethod, |
| CodecName, EncodePreset) |
| file = os.path.join(Path_RDResults, filename) |
| return file |
| |
| def setupWorkFolderStructure(): |
| global Path_Bitstreams, Path_DecodedYuv, Path_UpScaleYuv, Path_DnScaleYuv, \ |
| Path_QualityLog, Path_TestLog, Path_CfgFiles, Path_DecUpScaleYuv, Path_PerfLog |
| Path_Bitstreams = CreateNewSubfolder(WorkPath, "bistreams") |
| Path_DecodedYuv = CreateNewSubfolder(WorkPath, "decodedYUVs") |
| Path_UpScaleYuv = CreateNewSubfolder(WorkPath, "upscaledYUVs") |
| Path_DecUpScaleYuv = CreateNewSubfolder(WorkPath, "decUpscaledYUVs") |
| Path_DnScaleYuv = CreateNewSubfolder(WorkPath, "downscaledYUVs") |
| Path_QualityLog = CreateNewSubfolder(WorkPath, "qualityLogs") |
| Path_TestLog = CreateNewSubfolder(WorkPath, "testLogs") |
| Path_CfgFiles = CreateNewSubfolder(WorkPath, "configFiles") |
| Path_PerfLog = CreateNewSubfolder(WorkPath, "perfLogs") |
| |
| ''' |
| The convex_hull function is adapted based on the original python implementation |
| from https://en.wikibooks.org/wiki/Algorithm_Implementation/Geometry/Convex_hull/Monotone_chain |
| It is changed to return the lower and upper portions of the convex hull separately |
| to get the convex hull based on traditional rd curve, only the upper portion is |
| needed. |
| ''' |
| |
| def convex_hull(points): |
| """Computes the convex hull of a set of 2D points. |
| Input: an iterable sequence of (x, y) pairs representing the points. |
| Output: a list of vertices of the convex hull in counter-clockwise order, |
| starting from the vertex with the lexicographically smallest coordinates. |
| Implements Andrew's monotone chain algorithm. O(n log n) complexity. |
| """ |
| |
| # Sort the points lexicographically (tuples are compared lexicographically). |
| # Remove duplicates to detect the case we have just one unique point. |
| points = sorted(set(points)) |
| |
| # Boring case: no points or a single point, possibly repeated multiple times. |
| if len(points) <= 1: |
| return points |
| |
| # 2D cross product of OA and OB vectors, i.e. z-component of their 3D cross |
| # product. Returns a positive value, if OAB makes a counter-clockwise turn, |
| # negative for clockwise turn, and zero if the points are collinear. |
| def cross(o, a, b): |
| return (a[0] - o[0]) * (b[1] - o[1]) - (a[1] - o[1]) * (b[0] - o[0]) |
| |
| # Build lower hull |
| lower = [] |
| for p in points: |
| while len(lower) >= 2 and cross(lower[-2], lower[-1], p) <= 0: |
| lower.pop() |
| lower.append(p) |
| |
| # Build upper hull |
| upper = [] |
| for p in reversed(points): |
| while len(upper) >= 2 and cross(upper[-2], upper[-1], p) <= 0: |
| upper.pop() |
| upper.append(p) |
| |
| return lower, upper |
| |
| |
| def LookUpQPAndResInCvxHull(qtyvals, qtyhull, qtycvhQPs, qtycvhRes): |
| cvhqtys = [h[1] for h in qtyhull] |
| qtyQPs = []; qtyRes = [] |
| for val in qtyvals: |
| closest_idx = min(range(len(cvhqtys)), key=lambda i: abs(cvhqtys[i] - val)) |
| if (closest_idx == 0 and val > cvhqtys[0]) or \ |
| (closest_idx == (len(qtyvals) - 1) and val < cvhqtys[-1]): |
| Utils.Logger.info("the give value of quality metric is out of range"\ |
| "of convex hull test quality values.") |
| |
| qtyQPs.append(qtycvhQPs[closest_idx]) |
| qtyRes.append(qtycvhRes[closest_idx]) |
| |
| return qtyQPs, qtyRes |
| |
| |
| def AddConvexHullCurveToCharts(sht, charts, rdPoints, dnScaledRes, tgtqmetrics, |
| EnablePreInterpolation = False, int_rdPoints = None): |
| if EnablePreInterpolation: |
| assert int_rdPoints is not None |
| |
| shtname = sht.get_name() |
| sht.write(CvxHDataStartRow, CvxHDataStartCol, "ConvexHull Data") |
| |
| hull = {}; cvh_QPs = {}; cvh_Res_txt = {}; int_hull = {} |
| max_len = 0 |
| |
| for qty, idx, row in zip(QualityList, range(len(QualityList)), CvxHDataRows): |
| lower, upper = convex_hull(rdPoints[idx]) |
| hull[qty] = upper |
| max_len = max(max_len, len(upper)) |
| sht.write(row, CvxHDataStartCol, qty) |
| sht.write(row + 1, CvxHDataStartCol, "Bitrate(kbps)") |
| sht.write(row + 2, CvxHDataStartCol, "QP") |
| sht.write(row + 3, CvxHDataStartCol, 'Resolution') |
| if EnablePreInterpolation: |
| lower, upper = convex_hull(int_rdPoints[idx]) |
| int_hull[qty] = upper |
| sht.write(row + 4, CvxHDataStartCol, "Int_" + qty) |
| sht.write(row + 5, CvxHDataStartCol, "Int_Bitrate(kbps)") |
| |
| brts = [h[0] for h in hull[qty]] |
| qtys = [h[1] for h in hull[qty]] |
| sht.write_row(row, CvxHDataStartCol + 1, qtys) |
| sht.write_row(row + 1, CvxHDataStartCol + 1, brts) |
| |
| cvh_idxs = [rdPoints[idx].index((brt, qty)) for brt, qty in zip(brts, qtys)] |
| cvh_QPs[qty] = [QPs['AS'][i % len(QPs['AS'])] for i in cvh_idxs] |
| cvh_Res = [dnScaledRes[i // len(QPs['AS'])] for i in cvh_idxs] |
| cvh_Res_txt[qty] = ["%sx%s" % (x, y) for (x, y) in cvh_Res] |
| sht.write_row(row + 2, CvxHDataStartCol + 1, cvh_QPs[qty]) |
| sht.write_row(row + 3, CvxHDataStartCol + 1, cvh_Res_txt[qty]) |
| if EnablePreInterpolation: |
| int_brts = [h[0] for h in int_hull[qty]] |
| int_qtys = [h[1] for h in int_hull[qty]] |
| sht.write_row(row + 4, CvxHDataStartCol + 1, int_qtys) |
| sht.write_row(row + 5, CvxHDataStartCol + 1, int_brts) |
| |
| cols = [CvxHDataStartCol + 1 + i for i in range(len(hull[qty]))] |
| AddSeriesToChart_Scatter_Rows(shtname, cols, row, row + 1, charts[idx], |
| 'ConvexHull', ConvexHullColor) |
| if EnablePreInterpolation: |
| int_cols = [CvxHDataStartCol + 1 + i for i in range(len(int_hull[qty]))] |
| AddSeriesToChart_Scatter_Rows(shtname, int_cols, row + 4, row + 5, |
| charts[idx], 'Int_ConvexHull', |
| Int_ConvexHullColor) |
| endrow = CvxHDataRows[-1] + CvxHDataNum |
| |
| # find out QP/resolution for given qty metric and qty value |
| startrow_fdout = endrow + 1 |
| sht.write(startrow_fdout, CvxHDataStartCol, |
| " Find out QP/resolution for given quality metrics:") |
| numitem_fdout = 4 # qtymetric values, QP, resolution, one empty row |
| startrows_fdout = [startrow_fdout + 1 + i * numitem_fdout |
| for i in range(len(tgtqmetrics))] |
| |
| for metric, idx in zip(tgtqmetrics, range(len(tgtqmetrics))): |
| if metric not in QualityList: |
| Utils.Logger.error("wrong qty metric name. should be one of the" \ |
| " name in QualityList.") |
| return endrow |
| |
| qtyvals = tgtqmetrics[metric] |
| qtyQPs, qtyRes = LookUpQPAndResInCvxHull(qtyvals, hull[metric], |
| cvh_QPs[metric], |
| cvh_Res_txt[metric]) |
| # write the look up result into excel file |
| startrow = startrows_fdout[idx] |
| sht.write(startrow, CvxHDataStartCol, metric) |
| sht.write_row(startrow, 1, qtyvals) |
| sht.write(startrow + 1, CvxHDataStartCol, 'QP') |
| sht.write_row(startrow + 1, CvxHDataStartCol + 1, qtyQPs) |
| sht.write(startrow + 2, CvxHDataStartCol, 'Resolution') |
| sht.write_row(startrow + 2, CvxHDataStartCol + 1, qtyRes) |
| endrow = startrow + 3 |
| |
| return endrow |
| |
| ############################################################################### |
| ######### Major Functions ##################################################### |
| def CleanUp_workfolders(): |
| folders = [Path_DnScaleYuv, Path_Bitstreams, Path_DecodedYuv, Path_QualityLog, |
| Path_TestLog, Path_CfgFiles, Path_PerfLog] |
| if not KeepUpscaledOutput: |
| folders += [Path_UpScaleYuv, Path_DecUpScaleYuv] |
| |
| for folder in folders: |
| Cleanfolder(folder) |
| |
| def Run_ConvexHull_Test(clip, dnScalAlgo, upScalAlgo, LogCmdOnly = False): |
| Utils.Logger.info("start encode %s" % clip.file_name) |
| DnScaledRes = [(int(clip.width / ratio), int(clip.height / ratio)) for ratio in |
| DnScaleRatio] |
| for i in range(len(DnScaledRes)): |
| if SaveMemory: |
| CleanIntermediateFiles() |
| DnScaledW = DnScaledRes[i][0] |
| DnScaledH = DnScaledRes[i][1] |
| # downscaling if the downscaled file does not exist |
| dnscalyuv = GetDownScaledOutFile(clip, DnScaledW, DnScaledH, |
| Path_DnScaleYuv, dnScalAlgo) |
| if not os.path.isfile(dnscalyuv): |
| dnscalyuv = DownScaling(clip, FrameNum['AS'], DnScaledW, DnScaledH, |
| Path_DnScaleYuv, dnScalAlgo, LogCmdOnly) |
| ds_clip = Clip(GetShortContentName(dnscalyuv, False)+'.y4m', dnscalyuv, |
| "", DnScaledW, DnScaledH, clip.fmt, clip.fps_num, |
| clip.fps_denom, clip.bit_depth) |
| for QP in QPs['AS']: |
| Utils.Logger.info("start encode and upscale for QP %d" % QP) |
| #encode and upscaling |
| reconyuv = Run_EncDec_Upscale(EncodeMethod, CodecName, EncodePreset, |
| ds_clip, 'AS', QP, FrameNum['AS'], |
| clip.width, clip.height, Path_Bitstreams, |
| Path_DecodedYuv, Path_DecUpScaleYuv, |
| Path_CfgFiles, Path_PerfLog, upScalAlgo, LogCmdOnly) |
| #calcualte quality distortion |
| Utils.Logger.info("start quality metric calculation") |
| CalculateQualityMetric(clip.file_path, FrameNum['AS'], reconyuv, |
| clip.fmt, clip.width, clip.height, |
| clip.bit_depth, Path_QualityLog, LogCmdOnly) |
| if SaveMemory: |
| Cleanfolder(Path_DnScaleYuv) |
| Utils.Logger.info("finish running encode test.") |
| Utils.Logger.info("finish running encode test.") |
| |
| def Interpolate(RDPoints): |
| ''' |
| generate interpolated points on a RD curve. |
| input is list of existing RD points as (bitrate, quality) tuple |
| total number of interpolated points depends on the min and max QP |
| ''' |
| # sort the pair based on bitrate in increasing order |
| # if bitrate is the same, then sort based on quality in increasing order |
| RDPoints.sort(key = itemgetter(0, 1)) |
| br = [RDPoints[i][0] for i in range(len(RDPoints))] |
| qty = [RDPoints[i][1] for i in range(len(RDPoints))] |
| |
| # generate samples between max and min of quality metrics |
| min_br = min(br); max_br = max(br) |
| min_qp = min(QPs['AS']); max_qp = max(QPs['AS']) |
| lin = np.linspace(min_br, max_br, num = (max_qp - min_qp + 1), retstep = True) |
| int_br = lin[0] |
| |
| # interpolation using pchip |
| int_qty = scipy.interpolate.pchip_interpolate(br, qty, int_br) |
| |
| ''' |
| print("before interpolation:") |
| for i in range(len(br)): |
| print("%f, %f"%(br[i], qty[i])) |
| print("after interpolation:") |
| for i in range(len(int_br)): |
| print("%f, %f"%(int_br[i], int_qty[i])) |
| ''' |
| int_points = [(int_br[i], int_qty[i]) for i in range(len(int_br))] |
| return int_points |
| |
| def SaveConvexHullResultsToExcel(content, dnScAlgos, upScAlgos, |
| EnablePreInterpolation=False): |
| Utils.Logger.info("start saving RD results to excel file.......") |
| if not os.path.exists(Path_RDResults): |
| os.makedirs(Path_RDResults) |
| excFile = GetRDResultExcelFile(clip) |
| wb = xlsxwriter.Workbook(excFile) |
| shts = [] |
| for i in range(len(dnScAlgos)): |
| shtname = dnScAlgos[i] + '--' + upScAlgos[i] |
| shts.append(wb.add_worksheet(shtname)) |
| |
| DnScaledRes = [(int(clip.width / ratio), int(clip.height / ratio)) |
| for ratio in DnScaleRatio] |
| contentname = GetShortContentName(clip.file_name) |
| for sht, indx in zip(shts, list(range(len(dnScAlgos)))): |
| # write QP |
| sht.write(1, 0, "QP") |
| sht.write_column(CvxH_WtRows[0], 0, QPs['AS']) |
| shtname = sht.get_name() |
| |
| charts = []; y_mins = {}; y_maxs = {}; RDPoints = {}; Int_RDPoints = {} |
| for qty, x in zip(QualityList, range(len(QualityList))): |
| chart_title = 'RD Curves - %s with %s' % (contentname, shtname) |
| xaxis_name = 'Bitrate - Kbps' |
| chart = CreateChart_Scatter(wb, chart_title, xaxis_name, qty) |
| charts.append(chart) |
| y_mins[x] = []; y_maxs[x] = []; RDPoints[x] = []; Int_RDPoints[x] = [] |
| |
| # write RD data |
| for col, i in zip(CvxH_WtCols, range(len(DnScaledRes))): |
| DnScaledW = DnScaledRes[i][0] |
| DnScaledH = DnScaledRes[i][1] |
| sht.write(0, col, "resolution=%dx%d" % (DnScaledW, DnScaledH)) |
| sht.write(1, col, "Bitrate(kbps)") |
| sht.write_row(1, col + 1, QualityList) |
| |
| bitratesKbps = []; qualities = [] |
| for qp in QPs['AS']: |
| bs, reconyuv = GetBsReconFileName(EncodeMethod, CodecName, 'AS', |
| EncodePreset, clip, DnScaledW, |
| DnScaledH, dnScAlgos[indx], |
| upScAlgos[indx], qp, |
| Path_Bitstreams) |
| bitrate = (os.path.getsize(bs) * 8 * (clip.fps_num / clip.fps_denom) |
| / FrameNum['AS']) / 1000.0 |
| bitratesKbps.append(bitrate) |
| quality = GatherQualityMetrics(reconyuv, Path_QualityLog) |
| qualities.append(quality) |
| |
| sht.write_column(CvxH_WtRows[0], col, bitratesKbps) |
| for qs, row in zip(qualities, CvxH_WtRows): |
| sht.write_row(row, col + 1, qs) |
| |
| seriname = "resolution %dx%d" % (DnScaledW, DnScaledH) |
| for x in range(len(QualityList)): |
| # add RD curves of current resolution to each quality chart |
| AddSeriesToChart_Scatter(shtname, CvxH_WtRows, col + 1 + x, col, |
| charts[x], seriname, LineColors[i]) |
| # get min and max of y-axis |
| qs = [row[x] for row in qualities] |
| y_mins[x].append(min(qs)) |
| y_maxs[x].append(max(qs)) |
| # get RD points - (bitrate, quality) for each quality metrics |
| rdpnts = [(brt, qty) for brt, qty in zip(bitratesKbps, qs)] |
| RDPoints[x] = RDPoints[x] + rdpnts |
| if EnablePreInterpolation: |
| int_rdpnts = Interpolate(rdpnts) |
| Int_RDPoints[x] = Int_RDPoints[x] + int_rdpnts |
| |
| # add convexhull curve to charts |
| endrow = AddConvexHullCurveToCharts(sht, charts, RDPoints, DnScaledRes, |
| TargetQtyMetrics, EnablePreInterpolation, |
| Int_RDPoints) |
| |
| #update RD chart with approprate y axis range |
| for qty, x in zip(QualityList, range(len(QualityList))): |
| ymin = min(y_mins[x]) |
| ymax = max(y_maxs[x]) |
| margin = 0.1 # add 10% on min and max value for y_axis range |
| num_precsn = 5 if 'MS-SSIM' in qty else 3 |
| UpdateChart(charts[x], ymin, ymax, margin, qty, num_precsn) |
| |
| startrow = endrow + 2; startcol = 1 |
| InsertChartsToSheet(sht, startrow, startcol, charts) |
| |
| wb.close() |
| Utils.Logger.info("finish export convex hull results to excel file.") |
| |
| |
| def ParseArguments(raw_args): |
| parser = argparse.ArgumentParser(prog='ConvexHullTest.py', |
| usage='%(prog)s [options]', |
| description='') |
| parser.add_argument('-f', '--function', dest='Function', type=str, |
| required=True, metavar='', |
| choices=["clean", "scaling", "sumscaling", "encode", |
| "convexhull", "summary"], |
| help="function to run: clean, scaling, sumscaling, encode," |
| " convexhull, summary") |
| parser.add_argument('-k', "--KeepUpscaleOutput", dest='KeepUpscaledOutput', |
| type=bool, default=False, metavar='', |
| help="in function clean, if keep upscaled yuv files. It" |
| " is false by default") |
| parser.add_argument('-s', "--SaveMemory", dest='SaveMemory', type=bool, |
| default=False, metavar='', |
| help="save memory mode will delete most files in" |
| " intermediate steps and keeps only necessary " |
| "ones for RD calculation. It is false by default") |
| parser.add_argument('-CmdOnly', "--LogCmdOnly", dest='LogCmdOnly', type=bool, |
| default=False, metavar='', |
| help="LogCmdOnly mode will only capture the command sequences" |
| "It is false by default") |
| parser.add_argument('-l', "--LoggingLevel", dest='LogLevel', type=int, |
| default=3, choices=range(len(LogLevels)), metavar='', |
| help="logging level: 0:No Logging, 1: Critical, 2: Error," |
| " 3: Warning, 4: Info, 5: Debug") |
| parser.add_argument('-c', "--CodecName", dest='CodecName', type=str, |
| choices=CodecNames, metavar='', |
| help="CodecName: av1") |
| parser.add_argument('-m', "--EncodeMethod", dest='EncodeMethod', type=str, |
| choices=EncodeMethods, metavar='', |
| help="EncodeMethod: aom, svt") |
| parser.add_argument('-p', "--EncodePreset", dest='EncodePreset', type=str, |
| metavar='', help="EncodePreset: 0,1,2... for aom and svt") |
| if len(raw_args) == 1: |
| parser.print_help() |
| sys.exit(1) |
| args = parser.parse_args(raw_args[1:]) |
| |
| global Function, KeepUpscaledOutput, SaveMemory, LogLevel, CodecName,\ |
| EncodeMethod, EncodePreset, LogCmdOnly |
| Function = args.Function |
| KeepUpscaledOutput = args.KeepUpscaledOutput |
| SaveMemory = args.SaveMemory |
| LogLevel = args.LogLevel |
| CodecName = args.CodecName |
| EncodeMethod = args.EncodeMethod |
| EncodePreset = args.EncodePreset |
| LogCmdOnly = args.LogCmdOnly |
| |
| |
| ###################################### |
| # main |
| ###################################### |
| if __name__ == "__main__": |
| #sys.argv = ["","-f","clean"] |
| #sys.argv = ["","-f","scaling"] |
| #sys.argv = ["", "-f", "sumscaling"] |
| #sys.argv = ["", "-f", "encode","-c","av1","-m","aom","-p","6"] |
| #sys.argv = ["", "-f", "convexhull","-c","av1","-m","aom","-p","6"] |
| #sys.argv = ["", "-f", "summary", "-c", "av1", "-m", "aom", "-p", "6"] |
| ParseArguments(sys.argv) |
| |
| # preparation for executing functions |
| setupWorkFolderStructure() |
| if Function != 'clean': |
| SetupLogging(LogLevel, LogCmdOnly, LoggerName, Path_TestLog) |
| clip_list = CreateClipList('AS') |
| |
| # execute functions |
| if Function == 'clean': |
| CleanUp_workfolders() |
| elif Function == 'scaling': |
| for clip in clip_list: |
| for dnScaleAlgo, upScaleAlgo in zip(DnScalingAlgos, UpScalingAlgos): |
| Run_Scaling_Test(clip, dnScaleAlgo, upScaleAlgo, |
| Path_DnScaleYuv, Path_UpScaleYuv, Path_QualityLog, |
| Path_CfgFiles, SaveMemory, KeepUpscaledOutput, |
| LogCmdOnly) |
| elif Function == 'sumscaling': |
| SaveScalingResultsToExcel(DnScalingAlgos, UpScalingAlgos, clip_list, |
| Path_QualityLog) |
| elif Function == 'encode': |
| for clip in clip_list: |
| for dnScalAlgo, upScalAlgo in zip(DnScalingAlgos, UpScalingAlgos): |
| Run_ConvexHull_Test(clip, dnScalAlgo, upScalAlgo, LogCmdOnly) |
| elif Function == 'convexhull': |
| for clip in clip_list: |
| SaveConvexHullResultsToExcel(clip, DnScalingAlgos, UpScalingAlgos, |
| EnablePreInterpolation) |
| elif Function == 'summary': |
| RDResultFilesGenerated = [] |
| for clip in clip_list: |
| RDResultFilesGenerated.append(GetRDResultExcelFile(clip)) |
| |
| RDsmfile = GenerateSumRDExcelFile(EncodeMethod, CodecName, EncodePreset, |
| SummaryOutPath, RDResultFilesGenerated, |
| clip_list) |
| Utils.Logger.info("RD data summary file generated: %s" % RDsmfile) |
| |
| CvxHsmfile = GenerateSumCvxHullExcelFile(EncodeMethod, CodecName, |
| EncodePreset, SummaryOutPath, |
| RDResultFilesGenerated, |
| EnablePreInterpolation) |
| Utils.Logger.info("Convel hull summary file generated: %s" % CvxHsmfile) |
| else: |
| Utils.Logger.error("invalid parameter value of Function") |
