Producers or users can assess the spatial quality of cartographic products using several tests and standards such as the NMAS, STANAG or NSSDA. Given that positional quality is essential in cartographic production, all NMAs use statistical methods to control it. One of the most important quality features of cartographic products is positional accuracy, which is the key for interoperability between geodatabases and is evaluated by NMAs.
Such UAV products are considered useful as long as they meet the technical requirements of NMAs. This makes them interesting for national mapping agencies (NMAs) in their flowchart of geographic data production. In this context, images acquired by unmanned aerial vehicle (UAV) platforms are very useful because of their high spatial and temporal resolution. To be useful, geographic information requires accuracy in all its components ( i.e., spatial, temporal, topological and thematic). In the United States, the Federal Geographic Data Committee reported that 80% to 90% of government information has a geospatial component. Users demand more and more information and governments require good quality data. Technological progress has contributed to “democratize” the cartographic communication processes.
Self._setattr(name, checker.validate(self, value))įile "/usr/local/lib/python3.7/site-packages/mutagen/id3/_specs.The widespread and growing use of geographic data has led to a high demand for this information, which is reflected in every aspect of our daily life. Kwargs.get(checker.name, fault))įile "/usr/local/lib/python3.7/site-packages/mutagen/id3/_frames.py", line 78, in setattr Metadata.embed(os.path.join(, output_song), meta_tags)įile "/usr/local/lib/python3.7/site-packages/spotdl/metadata.py", line 34, in embedįile "/usr/local/lib/python3.7/site-packages/spotdl/metadata.py", line 77, in as_mp3įile "/usr/local/lib/python3.7/site-packages/mutagen/id3/_frames.py", line 68, in init Video:0kB audio:5932kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.012577%įile "/usr/local/bin/spotdl", line 11, inįile "/usr/local/lib/python3.7/site-packages/spotdl/spotdl.py", line 195, in mainĭownload_single(raw_song=)įile "/usr/local/lib/python3.7/site-packages/spotdl/spotdl.py", line 171, in download_single Output #0, mp3, to '/Users/Blah/Desktop/Nikkfurie - Thé à la menthe The lazer dance version.mp3': INFO: Converting Nikkfurie - Thé à la menthe The lazer dance version.m4a to mp3ĭEBUG: įfmpeg version 4.0.2 Copyright (c) 2000-2018 the FFmpeg developersīuilt with Apple LLVM version 9.0.0 (clang-900.0.39.2)Ĭonfiguration: -prefix=/usr/local/Cellar/ffmpeg/4.0.2 -enable-shared -enable-pthreads -enable-version3 -enable-hardcoded-tables -enable-avresample -cc=clang -host-cflags= -host-ldflags= -enable-gpl -enable-libass -enable-libfdk-aac -enable-libmp3lame -enable-libopus -enable-libx264 -enable-libxvid -enable-opencl -enable-videotoolbox -disable-lzma -enable-nonfree INFO: La Caution - Thé à la Menthe - The Laser Dance Song ( )ĭEBUG: Refining songname from "La Caution - Thé à la Menthe - The Laser Dance Song" to "Nikkfurie - Thé à la menthe The lazer dance version"ĭEBUG: Cleaning any temp files and checking if "Nikkfurie - Thé à la menthe The lazer dance version" already existsĭEBUG: Saving to: /Users/Blah/Desktop/Nikkfurie - Thé à la menthe The lazer dance version.m4aĤ,020,131 Bytes received. 'uri': 'spotify:track:77KefznTRqpykM3OnfNo4n', 'name': 'Thé à la menthe, The lazer dance version',
#Multispec camera problem with ortophoto code
Audiofile = TPUB(encoding=3, text=meta_tags)Īnd it "fixed" the issue, in that the song downloaded without throwing an exception, but I'm not familiar with the code so I have no idea if that broke something.
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