Metadata-Version: 2.1 Name: Adv2 Version: 1.2.0 Summary: Adv2reader reads version 2 Astro Digital Video files. Home-page: https://github.com/bob-anderson-ok/adv2reader Author: Bob Anderson Author-email: bob.anderson.ok@gmail.com Maintainer: Bob Anderson Maintainer-email: bob.anderson.ok@gmail.com License: License :: OSI Approved :: MIT License Keywords: ADV file reader,Astro Digital Video version 2 file reader Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Science/Research Classifier: Natural Language :: English Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX :: Linux Classifier: Programming Language :: Python :: 3.7 Classifier: Topic :: Scientific/Engineering Requires-Python: >=3.7 Description-Content-Type: text/markdown Requires-Dist: numpy Adv2 ==== This package provides a 'reader' for .adv (AstroDigitalVideo) Version 2 files. It is the result of a collaborative effort involving Bob Anderson and Hristo Pavlov. The specification for Astro Digital Video files can be found at: To install this package on your system: pip install Adv2 Then, sample usage from within your Python code is: from pathlib import Path from Adv2.Adv2File import Adv2reader try: # Create a platform agnostic path to your .adv file (use forward slashes) file_path = str(Path('path/to/your/file.adv')) # Python will make Windows version as needed # Create a 'reader' for the given file rdr = Adv2reader(file_path) except AdvLibException as adverr: print(repr(adverr)) exit() except IOError as ioerr: print(repr(ioerr)) exit() Now that the file has been opened and a 'reader' (rdr) created for it, there are instance variables available that will be useful. Here is how to print some of those out (these give the image size and number of images in the file): print(f'Width: {rdr.Width} Height: {rdr.Height} NumMainFrames: {rdr.CountMainFrames}') There is also an composite instance variable called `FileInfo` which gives access to all of the values defined in the structure `AdvFileInfo` (there are 20 of them). For example: print(rdr.FileInfo.UtcTimestampAccuracyInNanoseconds) To get (and show) the file metadata (returned as a Dict[str, str]): print(f'\nADV_FILE_META_DATA:') meta_data = rdr.getAdvFileMetaData() for key in meta_data: print(f' {key}: {meta_data[key]}') The main thing that one will want to do is read image data, timestamps, and frame status information from image frames. Continuing with the example and assuming that the adv file contains a MAIN stream (it might also contain a CALIBRATION stream): for frame in range(rdr.CountMainFrames): # status is a Dict[str, str] err, image, frameInfo, status = rdr.getMainImageAndStatusData(frameNumber=frame) # To get frames from a CALIBRATION stream, use rdr.getCalibImageAndStatusData() if not err: # If timestamp info was not present in the file (highly unlikely), # the timestamp string returned will be empty (== '') if frameInfo.StartOfExposureTimestampString: print(frameInfo.DateString, frameInfo.StartOfExposureTimestampString) print(f'\nframe: {frame} STATUS:') for entry in status: print(f' {entry}: {status[entry]}') else: print(err) `err` is a string that will be empty if image bytes and metadata where successfully extracted. In that case, `image` will contain a numpy array of uint16 values. If `err` is not empty, it will contain a human-readable description of the error encountered. The 'shape' of image will be `image[Height, Width]` for grayscale images. Color video files are not yet supported. Finally, the file should closed as in the example below: print(f'closeFile returned: {rdr.closeFile()}') rdr = None The value returned will be the version number (2) of the file closed or 0, which indicates an attempt to close a file that was already closed.