added setup.py

SFA_3d_object_detection/config/__version__.py

@@ -0,0 +1,3 @@
+VERSION = (0, 1, 0)
+
+__version__ = '.'.join(map(str, VERSION))

SFA_3d_object_detection/data_process/__version__.py

@@ -0,0 +1,3 @@
+VERSION = (0, 1, 0)
+
+__version__ = '.'.join(map(str, VERSION))

SFA_3d_object_detection/losses/__version__.py

@@ -0,0 +1,3 @@
+VERSION = (0, 1, 0)
+
+__version__ = '.'.join(map(str, VERSION))

SFA_3d_object_detection/models/__version__.py

@@ -0,0 +1,3 @@
+VERSION = (0, 1, 0)
+
+__version__ = '.'.join(map(str, VERSION))

SFA_3d_object_detection/utils/__version__.py

@@ -0,0 +1,3 @@
+VERSION = (0, 1, 0)
+
+__version__ = '.'.join(map(str, VERSION))

ros/src/super_fast_object_detection/src/rosInference.py

@@ -21,16 +21,16 @@
 
 sys.path.append('./')
 
-from models.model_utils import create_model
-from utils.evaluation_utils import draw_predictions, convert_det_to_real_values
-import config.kitti_config as cnf
-from data_process.transformation import lidar_to_camera_box
-from utils.visualization_utils import merge_rgb_to_bev, show_rgb_image_with_boxes
-from data_process.kitti_data_utils import Calibration
-from utils.demo_utils import parse_demo_configs, do_detect, download_and_unzip, write_credit
-from data_process.kitti_bev_utils import makeBEVMap
-import config.kitti_config as cnf
-from data_process.kitti_data_utils import get_filtered_lidar
+from SFA_3d_object_detection.models.model_utils import create_model
+from SFA_3d_object_detection.utils.evaluation_utils import draw_predictions, convert_det_to_real_values
+import SFA_3d_object_detection.config.kitti_config as cnf
+from SFA_3d_object_detection.data_process.transformation import lidar_to_camera_box
+from SFA_3d_object_detection.utils.visualization_utils import merge_rgb_to_bev, show_rgb_image_with_boxes
+from SFA_3d_object_detection.data_process.kitti_data_utils import Calibration
+from SFA_3d_object_detection.utils.demo_utils import parse_demo_configs, do_detect, download_and_unzip, write_credit
+from SFA_3d_object_detection.data_process.kitti_bev_utils import makeBEVMap
+import SFA_3d_object_detection.config.kitti_config as cnf
+from SFA_3d_object_detection.data_process.kitti_data_utils import get_filtered_lidar
 
 ID_TO_CLASS_NAME = {
     0: 'pedestrian',

setup.py

@@ -0,0 +1,117 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import io
+import os
+import sys
+from shutil import rmtree
+
+from setuptools import find_packages, setup, Command
+
+# Package meta-data.
+NAME = 'SFA_3d_object_detection'
+DESCRIPTION = 'A super fast and accurate 3d object detection from lidar points.'
+URL = 'https://github.com/maudzung/Super-Fast-Accurate-3D-Object-Detection'
+EMAIL = '[email protected]'
+AUTHOR = 'Nguyen Mau Dung'
+REQUIRES_PYTHON = '>=3.6.0'
+VERSION = '0.1.0'
+
+# What packages are required for this module to be executed?
+REQUIRED = [
+    'torch==1.5.0', 'torchvision==0.6.0', 'easydict==1.9', 
+    'opencv-python==4.2.0.34', 'numpy==1.18.3', 'torchsummary==1.5.1',
+    'tensorboard==2.2.1', 'scikit-learn==0.22.2', 'wget==3.2'
+]
+
+# What packages are optional?
+EXTRAS = {
+    # 'fancy feature': ['django'],
+}
+
+here = os.path.abspath(os.path.dirname(__file__))
+
+# Import the README and use it as the long-description.
+# Note: this will only work if 'README.md' is present in your MANIFEST.in file!
+try:
+    with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
+        long_description = '\n' + f.read()
+except FileNotFoundError:
+    long_description = DESCRIPTION
+
+# Load the package's __version__.py module as a dictionary.
+about = {}
+if not VERSION:
+    project_slug = NAME.lower().replace("-", "_").replace(" ", "_")
+    with open(os.path.join(here, project_slug, '__version__.py')) as f:
+        exec(f.read(), about)
+else:
+    about['__version__'] = VERSION
+
+
+class UploadCommand(Command):
+    """Support setup.py upload."""
+
+    description = 'Build and publish the package.'
+    user_options = []
+
+    @staticmethod
+    def status(s):
+        """Prints things in bold."""
+        print('\033[1m{0}\033[0m'.format(s))
+
+    def initialize_options(self):
+        pass
+
+    def finalize_options(self):
+        pass
+
+    def run(self):
+        try:
+            self.status('Removing previous builds…')
+            rmtree(os.path.join(here, 'dist'))
+        except OSError:
+            pass
+
+        self.status('Building Source and Wheel (universal) distribution…')
+        os.system('{0} setup.py sdist bdist_wheel --universal'.format(sys.executable))
+
+        self.status('Uploading the package to PyPI via Twine…')
+        os.system('twine upload dist/*')
+
+        self.status('Pushing git tags…')
+        os.system('git tag v{0}'.format(about['__version__']))
+        os.system('git push --tags')
+
+        sys.exit()
+
+
+# Where the magic happens:
+setup(
+    name=NAME,
+    version=about['__version__'],
+    description=DESCRIPTION,
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    author=AUTHOR,
+    author_email=EMAIL,
+    python_requires=REQUIRES_PYTHON,
+    url=URL,
+    packages=find_packages(exclude=["config", "data_process", "losses", "utils"]),
+    install_requires=REQUIRED,
+    extras_require=EXTRAS,
+    include_package_data=True,
+    license='MIT',
+    classifiers=[
+        # Trove classifiers
+        # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
+        'License :: OSI Approved :: MIT License',
+        'Programming Language :: Python',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.6'
+    ],
+    # $ setup.py publish support.
+    cmdclass={
+        'upload': UploadCommand,
+    },
+)