Search Results for "binary file reader"

*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4

OSRA is a utility designed to convert graphical representations of chemical structures and reactions, as they appear in journal articles, patent documents, textbooks, trade magazines etc., into SMILES or SD file format- a computer recognizable molecular structure You can find links to the binary executables here: https://sourceforge.net/p/osra/wiki/Download/

BinCoMerge is a binary files diff at byte resolution. It shows hexadecimal and raw ASCII data. BinCoMerge is seeking for common blocks from the bigger ones to the lower ones. It works by levels of minimum block sizes which are powers of 2. For example, with a file sizing between 16 KiB and 32 KiB, Bincomerge will firstly seek for all common blocks bigger than 16 KiB.

SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos.

OMR Reader is an application to read data from scanned images of OMR sheets. You can first create a template for a particular form and save it as a .omr file. To create a template, use a form with all filled marks. The program will automatically detect the marks. Now choose the marks for a group, and name the group. Do this for all the option groups on the form.

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (