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Description
The local SQLite database is structured with the following tables
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inputid: UUID v4 for inputtimestamp: time of importcli_mode: selected via CLIcli_input_path: selected via CLI (either directory to images, or video path)cli_extract_fps: selected via CLIcli_keep_extracted_frames: selected via CLIcli_path_to_nadir: selected via CLIcli_size_of_nadir: selected via CLIcli_outlier_speed_meters_sec: selected via CLIcli_max_output_video_secs: selected via CLIcli_output_filepath: selected via CLIcli_upload_to_streetview: selected via CLIoutput_directorystreetview_idstreetview_statussteetview_error
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video2video(for mode 1)input_id: input ID video linked toid: UUID v4 for videolength: extracted via exiftoolWidth: extracted via exiftoolHeight: extracted via exiftool
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frames2video(for mode 2, 3, 4)input_id: input ID video linked toid: UUID v4 for videoWidthHeightProjectionTypeGPSLatitudeRefGPSLatitudeGPSLongitudeRefGPSLongitudeGPSAltitudeRefGPSAltitudeGPSTimeStampGPSDateStamptime_secs_to_previoustime_secs_to_nextdistance_km_to_previousdistance_km_to_nextspeed_kmh_to_previousspeed_kmh_to_nexterror_reported
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gsvauth- stores oauth key
Can be done easily with geopy for speed/distance --> https://pypi.org/project/geopy/
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