import os from . import res def start_workflow(): res.bootstrap_folder_structure() aggregated_metrics = res.read_dict_from_json_file( os.path.join( res.get_path_results_aggregations(), res.get_filename_results_aggregations_hevc() ) ) for preset in aggregated_metrics.keys(): for crf in aggregated_metrics[preset].keys(): # encoding time res.save_diagram_normal_distribution( res.generate_diagram_normal_distribution( res.get_all_values_encoding_time( aggregated_metrics[preset][crf] ), f"Encoding times HEVC (Preset:{preset}, CRF: {crf})", "sec", "Time (seconds)" ), os.path.join( res.get_path_results_diagrams(), f'hevc_preset_{preset}_crf_{crf}_encoding_time.png' ) ) # filesize res.save_diagram_normal_distribution( res.generate_diagram_normal_distribution( res.get_all_values_filesize_percentage( aggregated_metrics[preset][crf] ), f"Filesize Percentage HEVC (Preset:{preset}, CRF: {crf})", "pct", "Percentage file size of the encode from the sample" ), os.path.join( res.get_path_results_diagrams(), f'hevc_preset_{preset}_crf_{crf}_filesize_percentage.png' ) ) # vmaf score res.save_diagram_normal_distribution( res.generate_diagram_normal_distribution( res.get_all_values_vmaf_score( aggregated_metrics[preset][crf] ), f"VMAF Score HEVC (Preset:{preset}, CRF: {crf})", "pct", "Score (percent)" ), os.path.join( res.get_path_results_diagrams(), f'hevc_preset_{preset}_crf_{crf}_vmaf_score.png' ) )