| #!/usr/bin/python3 |
| ## |
| ## Copyright (c) 2022, 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. |
| ## |
| """ Analyze the log generated by experimental flag CONFIG_RATECTRL_LOG.""" |
| |
| import matplotlib.pyplot as plt |
| import os |
| |
| |
| def get_file_basename(filename): |
| return filename.split(".")[0] |
| |
| |
| def parse_log(log_file): |
| data_list = [] |
| with open(log_file) as fp: |
| for line in fp: |
| dic = {} |
| word_ls = line.split() |
| i = 0 |
| while i < len(word_ls): |
| dic[word_ls[i]] = float(word_ls[i + 1]) |
| i += 2 |
| data_list.append(dic) |
| fp.close() |
| return data_list |
| |
| |
| def extract_data(data_list, name): |
| arr = [] |
| for data in data_list: |
| arr.append(data[name]) |
| return arr |
| |
| |
| def visualize_q_indices(exp_summary, exp_list, fig_path=None): |
| for exp in exp_list: |
| data = parse_log(exp["log"]) |
| q_indices = extract_data(data, "q") |
| plt.title(exp_summary) |
| plt.xlabel("frame_coding_idx") |
| plt.ylabel("q_index") |
| plt.plot(q_indices, marker=".", label=exp["label"]) |
| plt.legend() |
| if fig_path: |
| plt.savefig(fig_path) |
| else: |
| plt.show() |
| plt.clf() |
| |
| |
| def get_rc_type_from_exp_type(exp_type): |
| if exp_type == "Q_3P": |
| return "q" |
| return "vbr" |
| |
| |
| def test_video(exe_name, input, exp_type, level, log=None, limit=150): |
| basic_cmd = ("--test-decode=warn --threads=0 --profile=0 --min-q=0 --max-q=63" |
| " --auto-alt-ref=1 --kf-max-dist=160 --kf-min-dist=0 " |
| "--drop-frame=0 --static-thresh=0 --minsection-pct=0 " |
| "--maxsection-pct=2000 --arnr-maxframes=7 --arnr-strength=5 " |
| "--sharpness=0 --undershoot-pct=100 --overshoot-pct=100 " |
| "--frame-parallel=0 --tile-columns=0 --cpu-used=3 " |
| "--lag-in-frames=48 --psnr") |
| rc_type = get_rc_type_from_exp_type(exp_type) |
| rc_cmd = "--end-usage=" + rc_type |
| level_cmd = "" |
| if rc_type == "q": |
| level_cmd += "--cq-level=" + str(level) |
| elif rc_type == "vbr": |
| level_cmd += "--target-bitrate=" + str(level) |
| limit_cmd = "--limit=" + str(limit) |
| passes_cmd = "--passes=3 --second-pass-log=second_pass_log" |
| output_cmd = "-o test.webm" |
| input_cmd = "~/data/" + input |
| log_cmd = "" |
| if log != None: |
| log_cmd = ">" + log |
| cmd_ls = [ |
| exe_name, basic_cmd, rc_cmd, level_cmd, limit_cmd, passes_cmd, output_cmd, |
| input_cmd, log_cmd |
| ] |
| cmd = " ".join(cmd_ls) |
| os.system(cmd) |
| |
| |
| def gen_ratectrl_log(test_case): |
| exe = test_case["exe"] |
| video = test_case["video"] |
| exp_type = test_case["exp_type"] |
| level = test_case["level"] |
| log = test_case["log"] |
| test_video(exe, video, exp_type, level, log=log, limit=150) |
| return log |
| |
| |
| def gen_test_case(exp_type, dataset, videoname, level, log_dir=None): |
| test_case = {} |
| exe = "./aomenc_bl" |
| if exp_type == "BA_3P": |
| exe = "./aomenc_ba" |
| test_case["exe"] = exe |
| |
| video = os.path.join(dataset, videoname) |
| test_case["video"] = video |
| test_case["exp_type"] = exp_type |
| test_case["level"] = level |
| |
| video_basename = get_file_basename(videoname) |
| log = ".".join([dataset, video_basename, exp_type, str(level)]) |
| if log_dir != None: |
| log = os.path.join(log_dir, log) |
| test_case["log"] = log |
| return test_case |
| |
| |
| def run_ratectrl_exp(exp_config): |
| fp = open(exp_config) |
| log_dir = "./lowres_rc_log" |
| fig_dir = "./lowres_rc_fig" |
| dataset = "lowres" |
| for line in fp: |
| word_ls = line.split() |
| dataset = word_ls[0] |
| videoname = word_ls[1] |
| exp_type_ls = ["VBR_3P", "BA_3P"] |
| level_ls = [int(v) for v in word_ls[2:4]] |
| exp_ls = [] |
| for i in range(len(exp_type_ls)): |
| exp_type = exp_type_ls[i] |
| test_case = gen_test_case(exp_type, dataset, videoname, level_ls[i], |
| log_dir) |
| log = gen_ratectrl_log(test_case) |
| exp = {} |
| exp["log"] = log |
| exp["label"] = exp_type |
| exp_ls.append(exp) |
| video_basename = get_file_basename(videoname) |
| fig_path = os.path.join(fig_dir, video_basename + ".png") |
| visualize_q_indices(video_basename, exp_ls, fig_path) |
| fp.close() |
| |
| |
| if __name__ == "__main__": |
| run_ratectrl_exp("exp_rc_config") |