76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
import os
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import subprocess
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from . import res
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def start_workflow():
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res.bootstrap_folder_structure()
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# hevc diagrams
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hevc_diagrams = res.get_diagrams_hevc()
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# to complete data structure for rendering
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data = {
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"aggregated_metrics": {
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"hevc": {
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"encoding_time": {},
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"filesize_percentage": {},
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"vmaf_score": {}
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}
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},
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"diagrams": {
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"hevc": {
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"encoding_time": hevc_diagrams["encoding_time"],
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"filesize_percentage": hevc_diagrams["filesize_percentage"],
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"vmaf_score": hevc_diagrams["vmaf_score"]
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}
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}
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}
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# hevc metrics
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aggregated_metrics_hevc = res.read_dict_from_json_file(
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os.path.join(
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res.get_path_results_aggregations(),
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res.get_filename_results_aggregations_hevc()
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)
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)
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for preset in aggregated_metrics_hevc.keys():
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for crf in aggregated_metrics_hevc[preset].keys():
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data["aggregated_metrics"]["hevc"]["encoding_time"]["mean"] = round(
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aggregated_metrics_hevc[preset][crf]["encoding_time"]["mean"],
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2
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)
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data["aggregated_metrics"]["hevc"]["encoding_time"]["median"] = round(
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aggregated_metrics_hevc[preset][crf]["encoding_time"]["median"],
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2
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)
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data["aggregated_metrics"]["hevc"]["filesize_percentage"]["mean"] = round(
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aggregated_metrics_hevc[preset][crf]["filesize_percentage"]["mean"],
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2
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)
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data["aggregated_metrics"]["hevc"]["filesize_percentage"]["median"] = round(
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aggregated_metrics_hevc[preset][crf]["filesize_percentage"]["median"],
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2
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)
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data["aggregated_metrics"]["hevc"]["vmaf_score"]["mean"] = round(
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aggregated_metrics_hevc[preset][crf]["vmaf_score"]["mean"],
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2
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)
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data["aggregated_metrics"]["hevc"]["vmaf_score"]["median"] = round(
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aggregated_metrics_hevc[preset][crf]["vmaf_score"]["median"],
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2
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)
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# av1 metrics
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data["aggregated_metrics"]["av1"] = res.read_dict_from_json_file(
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os.path.join(
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res.get_path_results_aggregations(),
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res.get_filename_results_aggregations_av1()
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)
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)
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# render the template
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res.render_template(
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os.path.join(res.get_path_templates(), "README.md.tmpl"),
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os.path.join(res.get_path_project(), "README.md"),
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data
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) |