pip install monoloco (#7)

* add box visualization

* add box visualization and change thresholds for pif preprocessing

* refactor printer

* change default values

* change confidence definition

* remove redundant function

* add debug plot in preprocessing

* add task error in evaluation

* add horizontal flipping

* add evaluation table

* add evaluation table with verbosity

* add tabulate requirement and command line option verbose

* refactor evaluate

* add task error with mean absolute deviation

* add stereo baseline

* integrate stereo baseline

* refactor factory preprocessing

* add stereo command for evaluation

* fix category bug

* add interquartile range for stereo

* use left tt for translation

* refactor stereo functions

* remvove redundant functions

* change names of constants

* add pixel error as function of depth

* fix bug on output directory

* add now time at the moment of saving

* add person sitting category

* remove box in pifpaf predictions

* fix printing name

* add printing of number of matches

* add cyclist category

* fix assertion error

* add travis file

* working eval

* working eval

* change source file

* renaming

* add pylint file

* fix pylint

* fix import

* add pyc files in gitignore

* pylint fix

* pylint fix

* add pytest cache

* update readme

* fix pylint

* fix pylint

* add travis file

* add pylint in pip install

* fix pylint

* add eggs file in gitignore

* update readme

* add readme

.gitignore

@@ -4,3 +4,7 @@ data/
 __pycache__
 Monoloco/*.pyc
 .pytest*
+dist/
+build/
+*.egg-info
+

README.md

@@ -26,13 +26,23 @@ A video with qualitative results is available on [YouTube](https://www.youtube.c
 # Setup
 
 ### Install
+Python 3 is required. Python 2 is not supported. 
+Do not clone this repository and make sure there is no folder named monoloco in your current directory.
+
+`pip install monoloco`
+
+Live demo is available, we recommend to try our **Webcam** functionality. More info in the webcam section.
+
+
+For development of the monoloco source code itself, you need to clone this repository and then:
+```
+pip install openpifpaf nuscenes-devkit tabulate
+```
 Python 3.6 or 3.7 is required for nuScenes development kit. Python 3 is required for openpifpaf. 
 All details for Pifpaf pose detector at [openpifpaf](https://github.com/vita-epfl/openpifpaf).
 
 
-```
+
-pip install openpifpaf nuscenes-devkit tabulate
-```
 ### Data structure
 
     Data         

monoloco/__init__.py

@@ -0,0 +1,4 @@
+
+"""Open implementation of MonoLoco."""
+
+__version__ = '0.4.0'

setup.py

@@ -0,0 +1,36 @@
+from setuptools import setup
+
+# extract version from __init__.py
+with open('monoloco/__init__.py', 'r') as f:
+    VERSION_LINE = [l for l in f if l.startswith('__version__')][0]
+    VERSION = VERSION_LINE.split('=')[1].strip()[1:-1]
+
+setup(
+    name='monoloco',
+    version=VERSION,
+    packages=[
+        'monoloco',
+        'monoloco.train',
+        'monoloco.predict',
+        'monoloco.eval',
+        'monoloco.prep',
+        'monoloco.visuals',
+        'monoloco.utils'
+    ],
+    license='GNU AGPLv3',
+    description='MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation',
+    long_description=open('README.md').read(),
+    long_description_content_type='text/markdown',
+    author='Lorenzo Bertoni',
+    author_email='lorenzo.bertoni@epfl.ch',
+    url='https://github.com/vita-epfl/monoloco',
+    zip_safe=False,
+
+    install_requires=[
+        'openpifpaf',
+        'nuscenes-devkit',  # for nuScenes dataset preprocessing
+        'tabulate',   # For evaluation
+        'pylint',
+        'pytest',
+    ],
+)