| #!/usr/bin/env python |
| ## Copyright (c) 2021, Alliance for Open Media. All rights reserved |
| ## |
| ## This source code is subject to the terms of the BSD 3-Clause Clear License and the |
| ## Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear License was |
| ## not distributed with this source code in the LICENSE file, you can obtain it |
| ## at aomedia.org/license/software-license/bsd-3-c-c/. 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 aomedia.org/license/patent-license/. |
| ## |
| __author__ = "maggie.sun@intel.com, ryanlei@fb.com" |
| |
| import re |
| import openpyxl |
| import xlsxwriter |
| import shutil |
| import Config |
| from Config import QPs, DnScaleRatio, CTC_ASXLSTemplate, CTC_RegularXLSTemplate, InterpolatePieces, \ |
| UsePCHIPInterpolation |
| import Utils |
| from Utils import ParseCSVFile, plot_rd_curve, Interpolate_Bilinear, Interpolate_PCHIP, convex_hull |
| import matplotlib.pyplot as plt |
| from matplotlib.backends.backend_pdf import PdfPages |
| from CalcBDRate import BD_RATE |
| |
| qtys = ["psnr_y", "psnr_u", "psnr_v", "overall_psnr", "ssim_y", "ms_ssim_y", |
| "vmaf", "vmaf_neg", "psnr_hvs","ciede2k", "apsnr_y", "apsnr_u", |
| "apsnr_v", "overall_apsnr"] |
| |
| ''' |
| csv_files = { |
| "HM_CloseGOP": |
| { |
| "LD": "D:\\HEVC-AV1-Study\\HEVC-RA-CloseGop\\analysis\\rdresult\\RDResults_hm_hevc_RA_Preset_0.csv", |
| }, |
| "HM_OpenGOP": |
| { |
| "LD": "D:\\HEVC-AV1-Study\\HEVC-RA-OpenGop\\analysis\\rdresult\\RDResults_hm_hevc_RA_Preset_0.csv", |
| }, |
| "AV1_CloseGOP": |
| { |
| "LD": "D:\\HEVC-AV1-Study\\AV1-RA-CloseGop\\analysis\\rdresult\\RDResults_aom_av1_RA_Preset_0.csv", |
| }, |
| "AV1_OpenGOP": |
| { |
| "LD": "D:\\HEVC-AV1-Study\\AV1-RA-OpenGop\\analysis\\rdresult\\RDResults_aom_av1_RA_Preset_0.csv", |
| }, |
| } |
| ''' |
| csv_files = { |
| "v1.0.0": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-v1.0.0-Final\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-v1.0.0-Final\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-v1.0.0-Final\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-v1.0.0-Final\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-v1.0.0-Final\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| "v1.0.1": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-v1.0.1\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-v1.0.1\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-v1.0.1\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-v1.0.1\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-v1.0.1\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| "B034": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-B034\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-B034\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-B034\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-B034\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-B034\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| "ext-quant": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-ExtQuant\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-ExtQuant\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-ExtQuant\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-ExtQuant\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-ExtQuant\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| "sdp-off": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-SDP-OFF\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-SDP-OFF\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-SDP-OFF\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-SDP-OFF\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-SDP-OFF\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| "sdp-on": |
| { |
| "AI": "D:\\AV2-CTC\\AV2-CTC-SDP-ON\\analysis\\rdresult\\RDResults_aom_av2_AI_Preset_0.csv", |
| "LD": "D:\\AV2-CTC\\AV2-CTC-SDP-ON\\analysis\\rdresult\\RDResults_aom_av2_LD_Preset_0.csv", |
| "RA": "D:\\AV2-CTC\\AV2-CTC-SDP-ON\\analysis\\rdresult\\RDResults_aom_av2_RA_Preset_0.csv", |
| "Still": "D:\\AV2-CTC\\AV2-CTC-SDP-ON\\analysis\\rdresult\\RDResults_aom_av2_STILL_Preset_0.csv", |
| "AS": "D:\\AV2-CTC\\AV2-CTC-SDP-ON\\analysis\\rdresult\\RDResults_aom_av2_AS_Preset_0.csv", |
| }, |
| } |
| |
| start_row = { |
| "AI": 2, |
| "AS": 2, |
| "RA": 2, |
| "Still": 2, |
| "LD": 50, |
| } |
| |
| formats = { |
| "v1.0.0": ['r', '-', 'o'], |
| "v1.0.1": ['g', '-', '*'], |
| "B034": ['k', '-', '^'], |
| "ext-quant": ['r', '-', '*'], |
| "sdp-off": ['b', '-', '+'], |
| "sdp-on": ['r', '-', '<'], |
| "HM_CloseGOP": ['r', '-', 'o'], |
| "HM_OpenGOP": ['b', '-', '+'], |
| "AV1_CloseGOP": ['g', '-', '>'], |
| "AV1_OpenGOP": ['k', '-', '*'], |
| } |
| |
| AS_formats = { |
| "3840x2160": ['r', '-.', 'o'], |
| "2560x1440": ['g', '-.', '*'], |
| "1920x1080": ['b', '-.', '^'], |
| "1280x720": ['y', '-.', '+'], |
| "960x540": ['c', '-.', 'x'], |
| "640x360": ['k', '-.', '<'], |
| } |
| |
| anchor = "v1.0.0" |
| rd_curve_pdf = "rdcurve.pdf" |
| |
| def WriteSheet(csv_file, sht, start_row): |
| csv = open(csv_file, 'rt') |
| row = start_row |
| for line in csv: |
| if not line.startswith('TestCfg'): |
| words = re.split(',', line.strip()) |
| col = 1 |
| for word in words: |
| mycell = sht.cell(row=row, column=col) |
| if col >= 12 and col <= 30 and word != "": |
| mycell.value = float(word) |
| else: |
| mycell.value = word |
| col += 1 |
| row += 1 |
| csv.close() |
| |
| |
| def FillXlsFile(): |
| for tag in csv_files.keys(): |
| if tag == anchor: |
| continue |
| else: |
| for cfg in csv_files[anchor].keys(): |
| anchor_sht_name = "Anchor-%s" % cfg |
| test_sht_name = "Test-%s" % cfg |
| if cfg == "AS": |
| xls_template = CTC_ASXLSTemplate |
| xls_file = "CTC_AS_%s-%s.xlsm" % (anchor, tag) |
| shutil.copyfile(xls_template, xls_file) |
| anchor_sht_name = "Anchor" |
| test_sht_name = "Test" |
| elif cfg == "AI": |
| xls_template = CTC_RegularXLSTemplate |
| xls_file = "CTC_Regular_%s-%s.xlsm" % (anchor, tag) |
| shutil.copyfile(xls_template, xls_file) |
| |
| wb = openpyxl.load_workbook(filename=xls_file, read_only=False, keep_vba=True) |
| anchor_sht = wb[anchor_sht_name] |
| anchor_csv = csv_files[anchor][cfg] |
| WriteSheet(anchor_csv, anchor_sht, start_row[cfg]) |
| |
| test_sht = wb[test_sht_name] |
| test_csv = csv_files[tag][cfg] |
| WriteSheet(test_csv, test_sht, start_row[cfg]) |
| |
| wb.save(xls_file) |
| |
| def DrawRDCurve(records, anchor, pdf): |
| with PdfPages(pdf) as export_pdf: |
| for cfg in records[anchor].keys(): |
| videos = records[anchor][cfg].keys() |
| for video in videos: |
| if cfg == "AS": |
| DnScaledRes = [(int(3840/ratio), int(2160/ratio)) for ratio in DnScaleRatio] |
| Int_RDPoints = {} |
| # draw individual rd curves |
| for tag in records.keys(): |
| Int_RDPoints[tag] = [] |
| record = records[tag][cfg][video] |
| plt.figure(figsize=(15, 10)) |
| plt.suptitle("%s : %s: %s" % (cfg, video, tag)) |
| |
| br = {}; apsnr = {} |
| for key in record.keys(): |
| res = re.split('_', key)[0] |
| if res not in br.keys(): |
| br[res] = [] |
| apsnr[res] = [] |
| br[res].append(record[key].bitrate) |
| apsnr[res].append(record[key].overall_apsnr) |
| |
| for res in br.keys(): |
| rdpnts = [(brt, qty) for brt, qty in zip(br[res], apsnr[res])] |
| if UsePCHIPInterpolation: |
| int_rdpnts = Interpolate_PCHIP(rdpnts, QPs['AS'][:], InterpolatePieces, True) |
| else: |
| int_rdpnts = Interpolate_Bilinear(rdpnts, QPs['AS'][:], InterpolatePieces, True) |
| Int_RDPoints[tag] += int_rdpnts |
| plot_rd_curve(br[res], apsnr[res], "overall_apsnr", res, "bitrate(Kbps)", |
| AS_formats[res][0], AS_formats[res][1], AS_formats[res][2]) |
| plt.legend() |
| plt.grid(True) |
| export_pdf.savefig() |
| plt.close() |
| |
| #draw convex hull |
| plt.figure(figsize=(15, 10)) |
| plt.suptitle("%s : %s: convex hull" % (cfg, video)) |
| for tag in records.keys(): |
| lower, upper = convex_hull(Int_RDPoints[tag]) |
| br = [h[0] for h in upper] |
| apsnr = [h[1] for h in upper] |
| plot_rd_curve(br, apsnr, "overall_apsnr", tag, "bitrate(Kbps)", |
| formats[tag][0], formats[tag][1], formats[tag][2]) |
| plt.legend() |
| plt.grid(True) |
| export_pdf.savefig() |
| plt.close() |
| else: |
| # bit rate to quality |
| plt.figure(figsize=(15, 10)) |
| plt.suptitle("%s : %s" % (cfg, video)) |
| for tag in records.keys(): |
| record = records[tag][cfg][video] |
| br = [record[key].bitrate for key in record.keys()] |
| apsnr = [record[key].overall_apsnr for key in record.keys()] |
| plot_rd_curve(br, apsnr, "overall_apsnr", tag, "bitrate(Kbps)", |
| formats[tag][0], formats[tag][1], formats[tag][2]) |
| plt.legend() |
| plt.grid(True) |
| export_pdf.savefig() |
| plt.close() |
| |
| def GetQty(record, qty): |
| qtys = [] |
| for key in record.keys(): |
| if qty == 'psnr_y': |
| qtys.append(record[key].psnr_y) |
| elif qty == 'psnr_u': |
| qtys.append(record[key].psnr_u) |
| elif qty == 'psnr_v': |
| qtys.append(record[key].psnr_v) |
| elif qty == 'overall_psnr': |
| qtys.append(record[key].overall_psnr) |
| elif qty == 'ssim_y': |
| qtys.append(record[key].ssim_y) |
| elif qty == 'ms_ssim_y': |
| qtys.append(record[key].ms_ssim_y) |
| elif qty == 'vmaf': |
| qtys.append(record[key].vmaf_y) |
| elif qty == 'vmaf_neg': |
| qtys.append(record[key].vmaf_y_neg) |
| elif qty == 'psnr_hvs': |
| qtys.append(record[key].psnr_hvs) |
| elif qty == 'ciede2k': |
| qtys.append(record[key].ciede2k) |
| elif qty == 'apsnr_y': |
| qtys.append(record[key].apsnr_y) |
| elif qty == 'apsnr_u': |
| qtys.append(record[key].apsnr_u) |
| elif qty == 'apsnr_v': |
| qtys.append(record[key].apsnr_v) |
| elif qty == 'overall_apsnr': |
| qtys.append(record[key].overall_apsnr) |
| else: |
| assert(0) |
| return qtys |
| |
| def CalcBDRate(anchor, test): |
| anchor_qty = {}; test_qty = {} |
| br_anchor = []; br_test = [] |
| for key in anchor.keys(): |
| br_anchor.append(anchor[key].bitrate) |
| for key in test.keys(): |
| br_test.append(test[key].bitrate) |
| |
| for qty in qtys: |
| anchor_qty[qty] = GetQty(anchor, qty) |
| test_qty[qty] = GetQty(test, qty) |
| |
| bdrate = {}; err = 0 |
| for qty in qtys: |
| (err, bdrate[qty]) = BD_RATE(qty, br_anchor, anchor_qty[qty], |
| br_test, test_qty[qty]) |
| return bdrate |
| |
| def CalcFullBDRate(cfg): |
| bdrate = {}; seq_time = {}; seq_instr = {} |
| for video in records[anchor][cfg].keys(): |
| bdrate[video] = {}; seq_time[video] = {} |
| seq_instr[video] = {} |
| for mode in records.keys(): |
| record = records[mode][cfg][video] |
| if mode not in seq_time[video].keys(): |
| seq_time[video][mode] = 0 |
| |
| if mode not in seq_instr[video].keys(): |
| seq_instr[video][mode] = 0 |
| |
| for key in record.keys(): |
| seq_time[video][mode] += record[key].enc_time |
| seq_instr[video][mode] += record[key].enc_instr |
| if mode == anchor: |
| continue |
| bdrate[video][mode] = CalcBDRate(records[anchor][cfg][video], records[mode][cfg][video]) |
| return (bdrate, seq_time, seq_instr) |
| |
| |
| def WriteSummaryXlsFile(bdrate, seq_time, seq_instr, summary): |
| csv = open(summary+".csv", "wt") |
| csv.write('Video,mode') |
| for qty in qtys: |
| csv.write(',%s'%qty) |
| csv.write(",EncTime(s),EncInstr\n") |
| |
| wb = xlsxwriter.Workbook(summary + ".xlsx") |
| shts = [] |
| |
| for mode in csv_files.keys(): |
| total = {}; avg_bdrate = {} |
| sht = wb.add_worksheet(mode) |
| shts.append(sht) |
| row = 0; col = 0 |
| sht.write(row, 0, 'Video') |
| for qty in qtys: |
| col = qtys.index(qty) + 1 |
| sht.write(row, col, qty) |
| sht.write(row, col + 1, "EncTime(s)") |
| sht.write(row, col + 2, "EncInstr") |
| row = 1 |
| for video in bdrate.keys(): |
| csv.write("%s,%s"%(video, mode)) |
| for qty in qtys: |
| if mode == anchor: |
| csv.write(',0.0') |
| elif not str(bdrate[video][mode][qty]).startswith('Error'): |
| csv.write(',%f' % bdrate[video][mode][qty]) |
| else: |
| csv.write(',%s' % bdrate[video][mode][qty]) |
| |
| csv.write(",%f,%f\n" % (seq_time[video][mode], seq_instr[video][mode])) |
| |
| sht.write(row, 0, video) |
| for qty in qtys: |
| if not qty in total.keys(): |
| total[qty] = 0 |
| avg_bdrate[qty] = 0 |
| |
| if mode != anchor and not str(bdrate[video][mode][qty]).startswith('Error'): |
| total[qty] += 1 |
| avg_bdrate[qty] += bdrate[video][mode][qty] |
| |
| col = qtys.index(qty) + 1 |
| if mode == anchor: |
| sht.write(row, col, 0.00) |
| elif (mode in bdrate[video].keys()): |
| sht.write(row, col, bdrate[video][mode][qty]) |
| sht.write(row, col + 1, seq_time[video][mode]) |
| sht.write(row, col + 2, seq_instr[video][mode]) |
| row += 1 |
| row += 1 |
| for qty in qtys: |
| if total[qty] != 0: |
| avg_bdrate[qty] /= total[qty] |
| else: |
| avg_bdrate[qty] = 0.0 |
| |
| sht.write(row, 0, "Average") |
| for qty in qtys: |
| col = qtys.index(qty) + 1 |
| sht.write(row, col, avg_bdrate[qty]) |
| row += 1 |
| |
| wb.close() |
| csv.close() |
| |
| ###################################### |
| # main |
| ###################################### |
| if __name__ == "__main__": |
| records = {} |
| for tag in csv_files.keys(): |
| records[tag] = {} |
| for test_cfg in csv_files[tag].keys(): |
| records[tag][test_cfg] = ParseCSVFile(csv_files[tag][test_cfg]) |
| |
| FillXlsFile() |
| DrawRDCurve(records, anchor, rd_curve_pdf) |
| |
| #Calculate BDRate and collect total time |
| for test_cfg in csv_files[anchor].keys(): |
| (bdrate, seq_time, seq_instr) = CalcFullBDRate(test_cfg) |
| #Write output summary xls file |
| filename = "Summary-HEVC-AV1-%s"%test_cfg |
| WriteSummaryXlsFile(bdrate, seq_time, seq_instr, filename) |
