From 8a8a6ccae3dad60bb4f06a703d362c9759f244cc Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Tue, 20 Jun 2023 09:52:27 +0000
Subject: automatic import of python-aertb
---
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+%global _empty_manifest_terminate_build 0
+Name: python-aertb
+Version: 0.4.1
+Release: 1
+Summary: please add a summary manually as the author left a blank one
+License: MIT License
+URL: https://aertb.readthedocs.io
+Source0: https://mirrors.aliyun.com/pypi/web/packages/d4/99/323d032de4e9c2b6db3e9b05bcf74c5cc221c070ceb08c606561422c7980/aertb-0.4.1.tar.gz
+BuildArch: noarch
+
+
+%description
+# AER-toolbox
+This library intends to be a minimal tool for loading events from files with common event-camera file extensions into
+Python.
+
+See the project on [PyPI](https://pypi.org/project/aertb/) or do `pip3 install aertb`
+
+### Usage
+```py
+from aertb.core import FileLoader
+
+datLoader = FileLoader('dat') # 'bin', or 'aedat'
+datLoader.load_events('../example_data/dat/cars/obj_004414_td.dat')
+```
+
+Supported extensions:
+
+ - `.dat`: N-Cars / Prophesee Cameras
+ - `.bin`: N-MNIST, N-Caltech101
+ - `.aedat`: PokerDVS
+ - `.mat`: DVS-Barrel
+
+It also make the process of loading and iterating HDF5 files easier.
+```py
+from aertb.core import HDF5File
+
+dataset_train = HDF5File('TRAIN.h5')
+train_iterator = dataset_train.iterator(n_samples_group=10, rand=23)
+
+for sample in tqdm(train_iterator):
+ # do something with sample.events, sample.label or sample.name
+```
+
+Example: making a GIF
+```py
+from aertb.core import HDF5File, make_gif
+
+file = HDF5File('../DVS_Barrel.hdf5')
+sample = file.load_events(group='moving', name='11')
+make_gif(sample, filename='sample_moving.gif', camera_size=(128, 128), n_frames=480, gtype='std')
+```
+
+The library also includes a command line interface for converting files from a given extension to hdf5, as well as gif
+making capabilities for easy visualisation of the files.
+
+### Opening the CLI
+ 1. If the install with pip worked perfectly, you can now type `aertb` in a terminal window and the CLI will open.
+
+ 2. If you are installing it from Github: download you should download the project from github and follow the following
+ instructions:
+ - a) `git clone ...`
+ - b) Create a virual environment, if venv is not installed run `pip install virtualenv`,
+ then `python3 -m venv aertb_env`
+ - c) Run `source aertb_env/bin/activate`
+ - d) Run the following command: `pip install -r requirements.txt`
+ - e) Open the cli with `python3 .` or with the `__main__.py` file
+
+### Using the CLI
+ 1. Once the CLI is open you get a a similar output on your terminal:
+ 
+ 2. type `help` to see supported commands and `help <topic>` to get more info of the command
+
+### Examples:
+
+#### Creating an HDF5 out of a directory
+```
+tohdf5 -f 'example_data/dat' -e 'dat' -o 'mytest.h5'
+```
+The recommended directory shape is :
+
+ |--Parent (given as parameter)
+ |-- LabelClass1
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- LabelClass2
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- ...
+
+And we suggest that train and test are kept as separate folders so they translate
+to two different files
+#### Creating an HDF5 out of a single file
+```
+tohdf5 -f 'example_data/bin/one/03263.bin' -o 'mytest2.h5'
+```
+
+
+#### Creating a gif out of a given file
+```
+makegif -f 'example_data/prophesee_dat/test_23l_td.dat' -o 'myGif.gif' -nfr 240 -g 'std'
+```
+
+ 
+
+
+### Exiting the CLI:
+
+1. type `quit`
+2. Exit virtual environment: `$ deactivate`
+
+%package -n python3-aertb
+Summary: please add a summary manually as the author left a blank one
+Provides: python-aertb
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-aertb
+# AER-toolbox
+This library intends to be a minimal tool for loading events from files with common event-camera file extensions into
+Python.
+
+See the project on [PyPI](https://pypi.org/project/aertb/) or do `pip3 install aertb`
+
+### Usage
+```py
+from aertb.core import FileLoader
+
+datLoader = FileLoader('dat') # 'bin', or 'aedat'
+datLoader.load_events('../example_data/dat/cars/obj_004414_td.dat')
+```
+
+Supported extensions:
+
+ - `.dat`: N-Cars / Prophesee Cameras
+ - `.bin`: N-MNIST, N-Caltech101
+ - `.aedat`: PokerDVS
+ - `.mat`: DVS-Barrel
+
+It also make the process of loading and iterating HDF5 files easier.
+```py
+from aertb.core import HDF5File
+
+dataset_train = HDF5File('TRAIN.h5')
+train_iterator = dataset_train.iterator(n_samples_group=10, rand=23)
+
+for sample in tqdm(train_iterator):
+ # do something with sample.events, sample.label or sample.name
+```
+
+Example: making a GIF
+```py
+from aertb.core import HDF5File, make_gif
+
+file = HDF5File('../DVS_Barrel.hdf5')
+sample = file.load_events(group='moving', name='11')
+make_gif(sample, filename='sample_moving.gif', camera_size=(128, 128), n_frames=480, gtype='std')
+```
+
+The library also includes a command line interface for converting files from a given extension to hdf5, as well as gif
+making capabilities for easy visualisation of the files.
+
+### Opening the CLI
+ 1. If the install with pip worked perfectly, you can now type `aertb` in a terminal window and the CLI will open.
+
+ 2. If you are installing it from Github: download you should download the project from github and follow the following
+ instructions:
+ - a) `git clone ...`
+ - b) Create a virual environment, if venv is not installed run `pip install virtualenv`,
+ then `python3 -m venv aertb_env`
+ - c) Run `source aertb_env/bin/activate`
+ - d) Run the following command: `pip install -r requirements.txt`
+ - e) Open the cli with `python3 .` or with the `__main__.py` file
+
+### Using the CLI
+ 1. Once the CLI is open you get a a similar output on your terminal:
+ 
+ 2. type `help` to see supported commands and `help <topic>` to get more info of the command
+
+### Examples:
+
+#### Creating an HDF5 out of a directory
+```
+tohdf5 -f 'example_data/dat' -e 'dat' -o 'mytest.h5'
+```
+The recommended directory shape is :
+
+ |--Parent (given as parameter)
+ |-- LabelClass1
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- LabelClass2
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- ...
+
+And we suggest that train and test are kept as separate folders so they translate
+to two different files
+#### Creating an HDF5 out of a single file
+```
+tohdf5 -f 'example_data/bin/one/03263.bin' -o 'mytest2.h5'
+```
+
+
+#### Creating a gif out of a given file
+```
+makegif -f 'example_data/prophesee_dat/test_23l_td.dat' -o 'myGif.gif' -nfr 240 -g 'std'
+```
+
+ 
+
+
+### Exiting the CLI:
+
+1. type `quit`
+2. Exit virtual environment: `$ deactivate`
+
+%package help
+Summary: Development documents and examples for aertb
+Provides: python3-aertb-doc
+%description help
+# AER-toolbox
+This library intends to be a minimal tool for loading events from files with common event-camera file extensions into
+Python.
+
+See the project on [PyPI](https://pypi.org/project/aertb/) or do `pip3 install aertb`
+
+### Usage
+```py
+from aertb.core import FileLoader
+
+datLoader = FileLoader('dat') # 'bin', or 'aedat'
+datLoader.load_events('../example_data/dat/cars/obj_004414_td.dat')
+```
+
+Supported extensions:
+
+ - `.dat`: N-Cars / Prophesee Cameras
+ - `.bin`: N-MNIST, N-Caltech101
+ - `.aedat`: PokerDVS
+ - `.mat`: DVS-Barrel
+
+It also make the process of loading and iterating HDF5 files easier.
+```py
+from aertb.core import HDF5File
+
+dataset_train = HDF5File('TRAIN.h5')
+train_iterator = dataset_train.iterator(n_samples_group=10, rand=23)
+
+for sample in tqdm(train_iterator):
+ # do something with sample.events, sample.label or sample.name
+```
+
+Example: making a GIF
+```py
+from aertb.core import HDF5File, make_gif
+
+file = HDF5File('../DVS_Barrel.hdf5')
+sample = file.load_events(group='moving', name='11')
+make_gif(sample, filename='sample_moving.gif', camera_size=(128, 128), n_frames=480, gtype='std')
+```
+
+The library also includes a command line interface for converting files from a given extension to hdf5, as well as gif
+making capabilities for easy visualisation of the files.
+
+### Opening the CLI
+ 1. If the install with pip worked perfectly, you can now type `aertb` in a terminal window and the CLI will open.
+
+ 2. If you are installing it from Github: download you should download the project from github and follow the following
+ instructions:
+ - a) `git clone ...`
+ - b) Create a virual environment, if venv is not installed run `pip install virtualenv`,
+ then `python3 -m venv aertb_env`
+ - c) Run `source aertb_env/bin/activate`
+ - d) Run the following command: `pip install -r requirements.txt`
+ - e) Open the cli with `python3 .` or with the `__main__.py` file
+
+### Using the CLI
+ 1. Once the CLI is open you get a a similar output on your terminal:
+ 
+ 2. type `help` to see supported commands and `help <topic>` to get more info of the command
+
+### Examples:
+
+#### Creating an HDF5 out of a directory
+```
+tohdf5 -f 'example_data/dat' -e 'dat' -o 'mytest.h5'
+```
+The recommended directory shape is :
+
+ |--Parent (given as parameter)
+ |-- LabelClass1
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- LabelClass2
+ |-- SampleName1
+ |-- SampleName2
+ |-- ....
+ |-- ...
+
+And we suggest that train and test are kept as separate folders so they translate
+to two different files
+#### Creating an HDF5 out of a single file
+```
+tohdf5 -f 'example_data/bin/one/03263.bin' -o 'mytest2.h5'
+```
+
+
+#### Creating a gif out of a given file
+```
+makegif -f 'example_data/prophesee_dat/test_23l_td.dat' -o 'myGif.gif' -nfr 240 -g 'std'
+```
+
+ 
+
+
+### Exiting the CLI:
+
+1. type `quit`
+2. Exit virtual environment: `$ deactivate`
+
+%prep
+%autosetup -n aertb-0.4.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+ find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+ find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+ find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+ find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+ find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-aertb -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.1-1
+- Package Spec generated
--
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