Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
la3dm | la3dm-master/.travis.yml | dist: trusty
sudo: required
language:
- generic
cache:
- apt
services:
- docker
# Global environment variables
env:
global:
- ROS_DISTRO=kinetic
- ROS_REPOSITORY_PATH=http://packages.ros.org/ros/ubuntu
# - ROS_CI_DESKTOP="`lsb_release -cs`"
# - CI_SOURCE_PATH=$(pwd)
# - ROS_PARALLEL_JOBS='-... | 1,407 | 23.275862 | 124 | yml |
la3dm | la3dm-master/README.md | # Learning-Aided 3D Mapping
[](https://travis-ci.org/RobustFieldAutonomyLab/la3dm)
A suite of algorithms for learning-aided mapping. Includes implementations of Gaussian process regression and Bayesian generalized kernel inference for... | 4,718 | 43.102804 | 534 | md |
la3dm | la3dm-master/config/datasets/sim_structured.yaml | # sim_structured config
# Information about range-finder data
scan_num: 12 # How many scans to use
max_range: 8 # Sensor max range (m)
# Bounds on map height
min_z: 0
max_z: 4.3
original_size: false
predict: false
| 217 | 15.769231 | 37 | yaml |
la3dm | la3dm-master/config/datasets/sim_structured_long_term.yaml | # sim_structured_long_term config
# Information about range-finder data
scan_num: 15 # How many scans to use
max_range: 8 # Sensor max range (m)
# Bounds on map height
min_z: 0
max_z: 4.3
original_size: true
predict: false
| 226 | 16.461538 | 37 | yaml |
la3dm | la3dm-master/config/datasets/sim_unstructured.yaml | # sim_unstructured config
# Information about range-finder data
scan_num: 12 # How many scans to use
max_range: 8 # Sensor max range (m)
# Bounds on map height
min_z: 0
max_z: 4.3
original_size: false
predict: false
| 219 | 15.923077 | 37 | yaml |
la3dm | la3dm-master/config/methods/bgkloctomap.yaml | # BGKLOctoMap config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.1
block_depth: 3 # Test-data octree depth (see Wang & Englot ICRA 2016)
# Kernel parameters
sf2: 0.1 # Actually sigma_0 in sparse kernel
ell: 0.2 # Length scale of the sparse kernel
# Sampling resolutions
fr... | 695 | 28 | 69 | yaml |
la3dm | la3dm-master/config/methods/bgkloctomap_large_map.yaml | # BGKL Large Map config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.2
block_depth: 5 # Test-data octree depth (see Wang & Englot ICRA 2016)
max_range: 30 # Sensor max range (m)
original_size: true
# Bounds on map height
min_z: -3.0
max_z: 3.0
# Kernel parameters
sf2: 0.1... | 726 | 21.71875 | 83 | yaml |
la3dm | la3dm-master/config/methods/bgklvoctomap.yaml | # BGKLVOctoMap config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.1
block_depth: 5 # Test-data octree depth (see Wang & Englot ICRA 2016)
# Kernel parameters
sf2: 0.1 # Actually sigma_0 in sparse kernel
ell: 0.2 # Length scale of the sparse kernel
# Sampling resolutions
f... | 735 | 28.44 | 69 | yaml |
la3dm | la3dm-master/config/methods/bgklvoctomap_large_map.yaml | # BGKLV Large Map config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.2
block_depth: 6 # Test-data octree depth (see Wang & Englot ICRA 2016)
max_range: 30 # Sensor max range (m)
original_size: true
# Bounds on map height
min_z: -3.0
max_z: 3.0
# Kernel parameters
sf2: 0.... | 703 | 21 | 70 | yaml |
la3dm | la3dm-master/config/methods/bgkoctomap.yaml | # BGKOctoMap config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.1
block_depth: 3 # Test-data octree depth (see Wang & Englot ICRA 2016)
# Kernel parameters
sf2: 1.0 # Actually sigma_0 in sparse kernel
ell: 0.2 # Length scale of the sparse kernel
# Sampling resolutions
fre... | 701 | 28.25 | 70 | yaml |
la3dm | la3dm-master/config/methods/bgkoctomap_large_map.yaml | # BGKOctoMap config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.2
block_depth: 3 # Test-data octree depth (see Wang & Englot ICRA 2016)
max_range: 30 # Sensor max range (m)
original_size: true
# Bounds on map height
min_z: -3.0
max_z: 3.0
# Kernel parameters
sf2: 1.0 # A... | 806 | 25.9 | 70 | yaml |
la3dm | la3dm-master/config/methods/gpoctomap.yaml | # GPOctoMap config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.1
block_depth: 3 # Test-data octree depth (see Wang & Englot ICRA 2016)
# Kernel parameters
sf2: 1.0
ell: 1.0
# Sampling resolutions
free_resolution: 0.1 # Free space sampling resolution
ds_resolution: 0.1 # D... | 491 | 17.923077 | 69 | yaml |
la3dm | la3dm-master/config/methods/gpoctomap_large_map.yaml | # GP/BGKL+ Large Map config
# Map topic, grid cell mininum resolution
topic: /occupied_cells_vis_array
resolution: 0.2
block_depth: 4 # Test-data octree depth (see Wang & Englot ICRA 2016)
max_range: 30 # Sensor max range (m)
original_size: true
# Bounds on map height
min_z: -3.0
max_z: 3.0
# Kernel parameters
sf2:... | 574 | 15.911765 | 69 | yaml |
la3dm | la3dm-master/include/bgkloctomap/bgklblock.h | #ifndef LA3DM_BGKL_BLOCK_H
#define LA3DM_BGKL_BLOCK_H
#include <unordered_map>
#include <array>
#include "point3f.h"
#include "bgkloctree_node.h"
#include "bgkloctree.h"
namespace la3dm {
/// Hask key to index Block given block's center.
typedef int64_t BlockHashKey;
/// Initialize Look-Up Table
std... | 3,715 | 32.781818 | 131 | h |
la3dm | la3dm-master/include/bgkloctomap/bgklinference.h | #ifndef LA3DM_BGKL_H
#define LA3DM_BGKL_H
namespace la3dm {
/*
* @brief Bayesian Generalized Kernel Inference on Bernoulli distribution
* @param dim dimension of data (2, 3, etc.)
* @param T data type (float, double, etc.)
* @ref Nonparametric Bayesian inference on multivariate exponential famili... | 8,306 | 38.183962 | 101 | h |
la3dm | la3dm-master/include/bgkloctomap/bgkloctomap.h | #ifndef LA3DM_BGKL_OCTOMAP_H
#define LA3DM_BGKL_OCTOMAP_H
#include <unordered_map>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include "rtree.h"
#include "bgklblock.h"
#include "bgkloctree_node.h"
#include "point6f.h"
namespace la3dm {
/// PCL PointCloud types as input
typede... | 16,070 | 40.527132 | 140 | h |
la3dm | la3dm-master/include/bgkloctomap/bgkloctree.h | #ifndef LA3DM_BGKL_OCTREE_H
#define LA3DM_BGKL_OCTREE_H
#include <stack>
#include <vector>
#include "point3f.h"
#include "bgkloctree_node.h"
namespace la3dm {
/// Hash key to index OcTree nodes given depth and the index in that layer.
typedef int OcTreeHashKey;
/// Convert from node to hask key.
OcT... | 5,281 | 31.604938 | 98 | h |
la3dm | la3dm-master/include/bgkloctomap/bgkloctree_node.h | #ifndef LA3DM_BGKL_OCCUPANCY_H
#define LA3DM_BGKL_OCCUPANCY_H
#include <iostream>
#include <fstream>
namespace la3dm {
/// Occupancy state: before pruning: FREE, OCCUPIED, UNKNOWN; after pruning: PRUNED
enum class State : char {
FREE, OCCUPIED, UNKNOWN, PRUNED
};
/*
* @brief Inference o... | 2,950 | 29.112245 | 117 | h |
la3dm | la3dm-master/include/bgklvoctomap/bgklvblock.h | #ifndef LA3DM_BGKLV_BLOCK_H
#define LA3DM_BGKLV_BLOCK_H
#include <unordered_map>
#include <array>
#include "point3f.h"
#include "bgklvoctree_node.h"
#include "bgklvoctree.h"
namespace la3dm {
/// Hask key to index Block given block's center.
typedef int64_t BlockHashKey;
/// Initialize Look-Up Table
... | 3,747 | 32.765766 | 131 | h |
la3dm | la3dm-master/include/bgklvoctomap/bgklvinference.h | #ifndef LA3DM_BGKLV_H
#define LA3DM_BGKLV_H
namespace la3dm {
/*
* @brief Bayesian Generalized Kernel Inference on Bernoulli distribution
* @param dim dimension of data (2, 3, etc.)
* @param T data type (float, double, etc.)
* @ref Nonparametric Bayesian inference on multivariate exponential fami... | 6,530 | 36.97093 | 180 | h |
la3dm | la3dm-master/include/bgklvoctomap/bgklvoctomap.h | #ifndef LA3DM_BGKLV_OCTOMAP_H
#define LA3DM_BGKLV_OCTOMAP_H
#include <unordered_map>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include "rtree.h"
#include "bgklvblock.h"
#include "bgklvoctree_node.h"
#include "point6f.h"
namespace la3dm {
/// PCL PointCloud types as input
ty... | 16,075 | 40.43299 | 140 | h |
la3dm | la3dm-master/include/bgklvoctomap/bgklvoctree.h | #ifndef LA3DM_BGKLV_OCTREE_H
#define LA3DM_BGKLV_OCTREE_H
#include <stack>
#include <vector>
#include "point3f.h"
#include "bgklvoctree_node.h"
namespace la3dm {
/// Hash key to index OcTree nodes given depth and the index in that layer.
typedef int OcTreeHashKey;
/// Convert from node to hask key.
... | 5,281 | 31.604938 | 98 | h |
la3dm | la3dm-master/include/bgklvoctomap/bgklvoctree_node.h | #ifndef LA3DM_BGKLV_OCCUPANCY_H
#define LA3DM_BGKLV_OCCUPANCY_H
#include <iostream>
#include <fstream>
#include <cmath>
namespace la3dm {
/// Occupancy state: before pruning: FREE, OCCUPIED, UNKNOWN, UNCERTAIN; after pruning: PRUNED
enum class State : char {
FREE, OCCUPIED, UNKNOWN, UNCERTAIN, PRUNED... | 3,010 | 28.811881 | 117 | h |
la3dm | la3dm-master/include/bgkoctomap/bgkblock.h | #ifndef LA3DM_BGK_BLOCK_H
#define LA3DM_BGK_BLOCK_H
#include <unordered_map>
#include <array>
#include "point3f.h"
#include "bgkoctree_node.h"
#include "bgkoctree.h"
namespace la3dm {
/// Hask key to index Block given block's center.
typedef int64_t BlockHashKey;
/// Initialize Look-Up Table
std::un... | 3,709 | 32.727273 | 131 | h |
la3dm | la3dm-master/include/bgkoctomap/bgkinference.h | #ifndef LA3DM_BGK_H
#define LA3DM_BGK_H
namespace la3dm {
/*
* @brief Bayesian Generalized Kernel Inference on Bernoulli distribution
* @param dim dimension of data (2, 3, etc.)
* @param T data type (float, double, etc.)
* @ref Nonparametric Bayesian inference on multivariate exponential families... | 5,140 | 35.460993 | 101 | h |
la3dm | la3dm-master/include/bgkoctomap/bgkoctomap.h | #ifndef LA3DM_BGK_OCTOMAP_H
#define LA3DM_BGK_OCTOMAP_H
#include <unordered_map>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include "rtree.h"
#include "bgkblock.h"
#include "bgkoctree_node.h"
namespace la3dm {
/// PCL PointCloud types as input
typedef pcl::PointXYZ PCLPointT... | 15,848 | 40.273438 | 125 | h |
la3dm | la3dm-master/include/bgkoctomap/bgkoctree.h | #ifndef LA3DM_BGK_OCTREE_H
#define LA3DM_BGK_OCTREE_H
#include <stack>
#include <vector>
#include "point3f.h"
#include "bgkoctree_node.h"
namespace la3dm {
/// Hash key to index OcTree nodes given depth and the index in that layer.
typedef int OcTreeHashKey;
/// Convert from node to hask key.
OcTree... | 5,276 | 31.574074 | 98 | h |
la3dm | la3dm-master/include/bgkoctomap/bgkoctree_node.h | #ifndef LA3DM_BGK_OCCUPANCY_H
#define LA3DM_BGK_OCCUPANCY_H
#include <iostream>
#include <fstream>
namespace la3dm {
/// Occupancy state: before pruning: FREE, OCCUPIED, UNKNOWN; after pruning: PRUNED
enum class State : char {
FREE, OCCUPIED, UNKNOWN, PRUNED
};
/*
* @brief Inference oup... | 2,946 | 29.071429 | 117 | h |
la3dm | la3dm-master/include/common/markerarray_pub.h | #include <pcl_ros/point_cloud.h>
#include <geometry_msgs/Point.h>
#include <visualization_msgs/MarkerArray.h>
#include <visualization_msgs/Marker.h>
#include <std_msgs/ColorRGBA.h>
#include <cmath>
#include <string>
namespace la3dm {
std_msgs::ColorRGBA heightMapColor(double h) {
std_msgs::ColorRGBA... | 5,869 | 29.572917 | 123 | h |
la3dm | la3dm-master/include/common/point3f.h | #ifndef LA3DM_VECTOR3_H
#define LA3DM_VECTOR3_H
#include <iostream>
#include <math.h>
namespace la3dm {
/*!
* \brief This class represents a three-dimensional vector
*
* The three-dimensional vector can be used to represent a
* translation in three-dimensional space or to represent the
*... | 7,471 | 25.974729 | 114 | h |
la3dm | la3dm-master/include/common/point6f.h | #ifndef LA3DM_VECTOR6_H
#define LA3DM_VECTOR6_H
#include <iostream>
#include <math.h>
#include "point3f.h"
namespace la3dm {
/*!
* \brief This class represents a six-dimensional vector
*
* We use the six-dimensional vector to represent the start
* and end points of a line segment
*/
... | 9,678 | 26.188202 | 137 | h |
la3dm | la3dm-master/include/common/rtree.h | #ifndef RTREE_H
#define RTREE_H
// NOTE This file compiles under MSVC 6 SP5 and MSVC .Net 2003 it may not work on other compilers without modification.
// NOTE These next few lines may be win32 specific, you may need to modify them to compile on other platform
#include <stdio.h>
#include <math.h>
#include <assert.h>
... | 44,357 | 26.671865 | 136 | h |
la3dm | la3dm-master/include/gpoctomap/gpblock.h | #ifndef LA3DM_GP_BLOCK_H
#define LA3DM_GP_BLOCK_H
#include <unordered_map>
#include <array>
#include "point3f.h"
#include "gpoctree_node.h"
#include "gpoctree.h"
namespace la3dm {
/// Hask key to index Block given block's center.
typedef int64_t BlockHashKey;
/// Initialize Look-Up Table
std::unorde... | 3,704 | 32.378378 | 131 | h |
la3dm | la3dm-master/include/gpoctomap/gpoctomap.h | #ifndef LA3DM_GP_OCTOMAP_H
#define LA3DM_GP_OCTOMAP_H
#include <unordered_map>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include "rtree.h"
#include "gpblock.h"
#include "gpoctree_node.h"
namespace la3dm {
/// PCL PointCloud types as input
typedef pcl::PointXYZ PCLPointType;
... | 15,859 | 40.957672 | 125 | h |
la3dm | la3dm-master/include/gpoctomap/gpoctree.h | #ifndef LA3DM_GP_OCTREE_H
#define LA3DM_GP_OCTREE_H
#include <stack>
#include <vector>
#include "point3f.h"
#include "gpoctree_node.h"
namespace la3dm {
/// Hash key to index OcTree nodes given depth and the index in that layer.
typedef int OcTreeHashKey;
/// Convert from node to hask key.
OcTreeHas... | 5,274 | 31.561728 | 98 | h |
la3dm | la3dm-master/include/gpoctomap/gpoctree_node.h | #ifndef LA3DM_GP_OCCUPANCY_H
#define LA3DM_GP_OCCUPANCY_H
#include <iostream>
#include <fstream>
namespace la3dm {
/// Occupancy state: before pruning: FREE, OCCUPIED, UNKNOWN; after pruning: PRUNED
enum class State : char {
FREE, OCCUPIED, UNKNOWN, PRUNED
};
/*
* @brief GP regression o... | 3,150 | 30.51 | 107 | h |
la3dm | la3dm-master/include/gpoctomap/gpregressor.h | #ifndef LA3DM_GP_REGRESSOR_H
#define LA3DM_GP_REGRESSOR_H
#include <Eigen/Dense>
#include <vector>
namespace la3dm {
/*
* @brief A Simple Gaussian Process Regressor
* @param dim dimension of data (2, 3, etc.)
* @param T data type (float, double, etc.)
*/
template<int dim, typename T>
... | 5,931 | 33.894118 | 100 | h |
la3dm | la3dm-master/src/bgkloctomap/bgklblock.cpp | #include "bgklblock.h"
#include <queue>
#include <algorithm>
namespace la3dm {
std::unordered_map<OcTreeHashKey, point3f> init_key_loc_map(float resolution, unsigned short max_depth) {
std::unordered_map<OcTreeHashKey, point3f> key_loc_map;
std::queue<point3f> center_q;
center_q.push(poin... | 6,731 | 41.075 | 109 | cpp |
la3dm | la3dm-master/src/bgkloctomap/bgkloctomap.cpp | #include <algorithm>
#include <ros/ros.h>
#include <pcl/filters/voxel_grid.h>
#include "bgkloctomap.h"
#include "bgklinference.h"
using std::vector;
// #define DEBUG true;
#ifdef DEBUG
#include <iostream>
#define Debug_Msg(msg) {\
std::cout << "Debug: " << msg << std::endl; }
#endif
namespace la3dm {
BGKLOct... | 18,619 | 36.24 | 172 | cpp |
la3dm | la3dm-master/src/bgkloctomap/bgkloctomap_server.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include <pcl_ros/transforms.h>
#include <pcl/filters/voxel_grid.h>
#include "markerarray_pub.h"
#include "bgkloctomap.h"
tf::TransformListener *listener;
std::string frame_id("/map");
la3dm::BGKLOctoMap *map;
la3dm::MarkerArrayPub *m_pub_occ, *m_pub_free;
/... | 7,550 | 35.302885 | 177 | cpp |
la3dm | la3dm-master/src/bgkloctomap/bgkloctomap_static_node.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include "bgkloctomap.h"
#include "markerarray_pub.h"
void load_pcd(std::string filename, la3dm::point3f &origin, la3dm::PCLPointCloud &cloud) {
pcl::PCLPointCloud2 cloud2;
Eigen::Vector4f _origin;
Eigen::Quaternionf orientaion;
pcl::io::loadPC... | 6,720 | 38.304094 | 128 | cpp |
la3dm | la3dm-master/src/bgkloctomap/bgkloctree.cpp | #include "bgkloctree.h"
#include <cmath>
namespace la3dm {
unsigned short OcTree::max_depth = 0;
OcTreeHashKey node_to_hash_key(unsigned short depth, unsigned short index) {
return (depth << 16) + index;
}
void hash_key_to_node(OcTreeHashKey key, unsigned short &depth, unsigned short &index... | 4,955 | 30.769231 | 119 | cpp |
la3dm | la3dm-master/src/bgkloctomap/bgkloctree_node.cpp | #include "bgkloctree_node.h"
#include <cmath>
namespace la3dm {
/// Default static values
float Occupancy::sf2 = 1.0f;
float Occupancy::ell = 1.0f;
float Occupancy::free_thresh = 0.3f;
float Occupancy::occupied_thresh = 0.7f;
float Occupancy::var_thresh = 1000.0f;
float Occupancy::prior_A ... | 2,123 | 32.714286 | 117 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvblock.cpp | #include "bgklvblock.h"
#include <queue>
#include <algorithm>
namespace la3dm {
std::unordered_map<OcTreeHashKey, point3f> init_key_loc_map(float resolution, unsigned short max_depth) {
std::unordered_map<OcTreeHashKey, point3f> key_loc_map;
std::queue<point3f> center_q;
center_q.push(poi... | 6,757 | 40.975155 | 109 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvoctomap.cpp | #include <algorithm>
#include <pcl/filters/voxel_grid.h>
#include "bgklvoctomap.h"
#include "bgklvinference.h"
#include <iostream>
using std::vector;
//#define DEBUG true;
#ifdef DEBUG
#include <iostream>
#define Debug_Msg(msg) {\
std::cout << "Debug: " << msg << std::endl; }
#endif
namespace la3dm {
BGKLVOc... | 21,314 | 35.877163 | 174 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvoctomap_server.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include <pcl_ros/transforms.h>
#include <pcl/filters/voxel_grid.h>
#include "markerarray_pub.h"
#include "bgklvoctomap.h"
tf::TransformListener *listener;
std::string frame_id("/map");
la3dm::BGKLVOctoMap *map;
la3dm::MarkerArrayPub *m_pub_occ, *m_pub_free;
... | 7,312 | 35.383085 | 177 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvoctomap_static_node.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include "bgklvoctomap.h"
#include "markerarray_pub.h"
void load_pcd(std::string filename, la3dm::point3f &origin, la3dm::PCLPointCloud &cloud) {
pcl::PCLPointCloud2 cloud2;
Eigen::Vector4f _origin;
Eigen::Quaternionf orientaion;
pcl::io::loadP... | 5,932 | 38.291391 | 145 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvoctree.cpp | #include "bgklvoctree.h"
#include <cmath>
namespace la3dm {
unsigned short OcTree::max_depth = 0;
OcTreeHashKey node_to_hash_key(unsigned short depth, unsigned long index) {
return (depth << 28) + index;
}
void hash_key_to_node(OcTreeHashKey key, unsigned short &depth, unsigned long &index)... | 4,951 | 30.74359 | 119 | cpp |
la3dm | la3dm-master/src/bgklvoctomap/bgklvoctree_node.cpp | #include "bgklvoctree_node.h"
#include <cmath>
namespace la3dm {
/// Default static values
float Occupancy::sf2 = 1.0f;
float Occupancy::ell = 1.0f;
float Occupancy::free_thresh = 0.3f;
float Occupancy::occupied_thresh = 0.7f;
float Occupancy::var_thresh = 1000.0f;
float Occupancy::prior_A... | 2,939 | 29.625 | 117 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkblock.cpp | #include "bgkblock.h"
#include <queue>
#include <algorithm>
namespace la3dm {
std::unordered_map<OcTreeHashKey, point3f> init_key_loc_map(float resolution, unsigned short max_depth) {
std::unordered_map<OcTreeHashKey, point3f> key_loc_map;
std::queue<point3f> center_q;
center_q.push(point... | 6,730 | 41.06875 | 109 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkoctomap.cpp | #include <algorithm>
#include <pcl/filters/voxel_grid.h>
#include "bgkoctomap.h"
#include "bgkinference.h"
using std::vector;
// #define DEBUG true;
#ifdef DEBUG
#include <iostream>
#define Debug_Msg(msg) {\
std::cout << "Debug: " << msg << std::endl; }
#endif
namespace la3dm {
BGKOctoMap::BGKOctoMap() : BGK... | 20,391 | 34.464348 | 130 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkoctomap_server.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include <pcl_ros/transforms.h>
#include <pcl/filters/voxel_grid.h>
#include "markerarray_pub.h"
#include "bgkoctomap.h"
tf::TransformListener *listener;
std::string frame_id("/map");
la3dm::BGKOctoMap *map;
la3dm::MarkerArrayPub *m_pub_occ, *m_pub_free;
//s... | 7,546 | 35.283654 | 177 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkoctomap_static_node.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include "bgkoctomap.h"
#include "markerarray_pub.h"
void load_pcd(std::string filename, la3dm::point3f &origin, la3dm::PCLPointCloud &cloud) {
pcl::PCLPointCloud2 cloud2;
Eigen::Vector4f _origin;
Eigen::Quaternionf orientaion;
pcl::io::loadPCD... | 5,703 | 38.611111 | 128 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkoctree.cpp | #include "bgkoctree.h"
#include <cmath>
namespace la3dm {
unsigned short OcTree::max_depth = 0;
OcTreeHashKey node_to_hash_key(unsigned short depth, unsigned short index) {
return (depth << 16) + index;
}
void hash_key_to_node(OcTreeHashKey key, unsigned short &depth, unsigned short &index)... | 4,954 | 30.762821 | 119 | cpp |
la3dm | la3dm-master/src/bgkoctomap/bgkoctree_node.cpp | #include "bgkoctree_node.h"
#include <cmath>
namespace la3dm {
/// Default static values
float Occupancy::sf2 = 1.0f;
float Occupancy::ell = 1.0f;
float Occupancy::free_thresh = 0.3f;
float Occupancy::occupied_thresh = 0.7f;
float Occupancy::var_thresh = 1000.0f;
float Occupancy::prior_A =... | 2,122 | 32.698413 | 117 | cpp |
la3dm | la3dm-master/src/common/point3f.cpp | #include "point3f.h"
#include <cassert>
#include <math.h>
#include <string.h>
namespace la3dm {
Vector3 &Vector3::rotate_IP(double roll, double pitch, double yaw) {
double x, y, z;
// pitch (around y)
x = (*this)(0);
z = (*this)(2);
(*this)(0) = (float) (z * sin(pitch) + x ... | 2,011 | 25.473684 | 74 | cpp |
la3dm | la3dm-master/src/common/point6f.cpp | #include "point6f.h"
#include <cassert>
#include <math.h>
#include <string.h>
namespace la3dm {
// Vector3 &Vector3::rotate_IP(double roll, double pitch, double yaw) {
// double x, y, z;
// // pitch (around y)
// x = (*this)(0);
// z = (*this)(2);
// (*this)(0) = (float) (z... | 2,122 | 26.934211 | 128 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpblock.cpp | #include "gpblock.h"
#include <queue>
#include <algorithm>
namespace la3dm {
std::unordered_map<OcTreeHashKey, point3f> init_key_loc_map(float resolution, unsigned short max_depth) {
std::unordered_map<OcTreeHashKey, point3f> key_loc_map;
std::queue<point3f> center_q;
center_q.push(point3f... | 6,729 | 41.0625 | 109 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpoctomap.cpp | #include <algorithm>
#include <pcl/filters/voxel_grid.h>
#include "gpoctomap.h"
#include "gpregressor.h"
#include <iostream>
using std::vector;
//#define DEBUG true;
#ifdef DEBUG
#include <iostream>
#define Debug_Msg(msg) {\
std::cout << "Debug: " << msg << std::endl; }
#endif
namespace la3dm {
GPOctoMap::GP... | 19,736 | 33.994681 | 130 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpoctomap_server.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include <pcl_ros/transforms.h>
#include <pcl/filters/voxel_grid.h>
#include "markerarray_pub.h"
#include "gpoctomap.h"
tf::TransformListener *listener;
std::string frame_id("/map");
la3dm::GPOctoMap *map;
la3dm::MarkerArrayPub *m_pub_occ, *m_pub_free;
tf::V... | 7,686 | 35.43128 | 177 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpoctomap_static_node.cpp | #include <string>
#include <iostream>
#include <ros/ros.h>
#include "gpoctomap.h"
#include "markerarray_pub.h"
void load_pcd(std::string filename, la3dm::point3f &origin, la3dm::PCLPointCloud &cloud) {
pcl::PCLPointCloud2 cloud2;
Eigen::Vector4f _origin;
Eigen::Quaternionf orientaion;
pcl::io::loadPCDF... | 5,814 | 38.828767 | 133 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpoctree.cpp | #include "gpoctree.h"
#include <cmath>
namespace la3dm {
unsigned short OcTree::max_depth = 0;
OcTreeHashKey node_to_hash_key(unsigned short depth, unsigned short index) {
return (depth << 16) + index;
}
void hash_key_to_node(OcTreeHashKey key, unsigned short &depth, unsigned short &index) {... | 4,952 | 30.954839 | 119 | cpp |
la3dm | la3dm-master/src/gpoctomap/gpoctree_node.cpp | #include "gpoctree_node.h"
#include "gpregressor.h"
#include <cmath>
namespace la3dm {
/// Default static values
float Occupancy::sf2 = 1.0f;
float Occupancy::ell = 1.0f;
float Occupancy::noise = 0.01f;
float Occupancy::l = 100.f;
float Occupancy::max_ivar = 1000.0f;
float Occupancy::min_i... | 2,517 | 35.492754 | 117 | cpp |
label_propagation | label_propagation-master/README.md | # Implementations of label propagation like algorithms
This is a set of scikit-learn compatible implementations of label propagation (LP) like algorithms.
One can easily grid search and cross validate models using utils in scikit-learn.
## Implemented Algorithms
* Harmonic Function (HMN) [Zhu+, ICML03]
* Local and G... | 4,475 | 25.329412 | 99 | md |
label_propagation | label_propagation-master/label_propagation.py | # coding=utf8
"""
Graph-Based Semi-Supervised Learning (GBSSL) implementation.
"""
# Authors: Yuto Yamaguchi <yamaguchi.yuto@aist.go.jp>
# Lisence: MIT
import numpy as np
from scipy import sparse
from abc import ABCMeta, abstractmethod
from sklearn.base import BaseEstimator, ClassifierMixin
class Base(BaseEstimator,... | 9,790 | 28.669697 | 173 | py |
label_propagation | label_propagation-master/main.py | import sys
import argparse
import numpy as np
from scipy.sparse import csr_matrix
from label_propagation import HMN,LGC,PARW,OMNI,CAMLP
def read_graphfile(f):
graph_data = np.genfromtxt(f, delimiter=' ', dtype=int)
row = np.hstack([graph_data[:,0], graph_data[:,1]])
col = np.hstack([graph_data[:,1], graph_... | 4,107 | 57.685714 | 149 | py |
label_propagation | label_propagation-master/sample.py | import numpy as np
import networkx as nx
from scipy import sparse
from label_propagation import LGC,HMN,PARW,OMNIProp,CAMLP
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import train_test_split
G = nx.karate_club_graph()
labels = {'Officer':0, 'Mr. Hi':1}
nodes = np.array([(n,labels[attr['... | 1,435 | 32.395349 | 140 | py |
trudy | trudy-master/main.go | package main
import (
"crypto/tls"
"encoding/hex"
"flag"
"fmt"
"github.com/gorilla/websocket"
"github.com/praetorian-inc/trudy/listener"
"github.com/praetorian-inc/trudy/module"
"github.com/praetorian-inc/trudy/pipe"
"io"
"log"
"net"
"net/http"
"strings"
"sync"
)
var connectionCount uint
var websocketCo... | 10,282 | 24.77193 | 131 | go |
trudy | trudy-master/README.md | ## Trudy
Trudy is a transparent proxy that can modify and drop traffic for arbitrary TCP connections. Trudy can be used to programmatically modify TCP traffic for proxy-unaware clients. Trudy creates a 2-way "pipe" for each connection it proxies. The device you are proxying (the "client") connects to Trudy (but doesn'... | 4,077 | 66.966667 | 803 | md |
trudy | trudy-master/module/module.go | package module
import (
"crypto/tls"
"encoding/hex"
"github.com/praetorian-inc/trudy/pipe"
"net"
)
//Data is a thin wrapper that provides metadata that may be useful when mangling bytes on the network.
type Data struct {
FromClient bool //FromClient is true is the data sent is coming from the client (the ... | 2,569 | 28.204545 | 117 | go |
trudy | trudy-master/listener/listener.go | package listener
import (
"crypto/tls"
"errors"
"net"
)
//The TrudyListener interface is used to listen for incoming connections and accept them. This is almost
//the same as the typical Listener interface, except a net.Conn must be returned for Accept. This enables
//Trudy to grab the original destination IP addr... | 2,328 | 23.010309 | 105 | go |
trudy | trudy-master/pipe/pipe.go | //Package pipe defines the data structure used to manipulate, monitor, and create proxied connections.
package pipe
import (
"crypto/tls"
"log"
"net"
"strconv"
"sync"
"syscall"
"time"
)
//Netfilter/iptables adds a tcp header to identify original destination.
//Since all traffic is routed through trudy, we need... | 9,506 | 32.241259 | 113 | go |
null | stanford_alpaca-main/README.md |
<p align="center" width="100%">
<img src="assets/logo.png" alt="Stanford-Alpaca" style="width: 50%; min-width: 300px; display: block; margin: auto;">
</p>
# Stanford Alpaca: An Instruction-following LLaMA Model
[](https://github.com/tat... | 14,461 | 52.562963 | 395 | md |
null | stanford_alpaca-main/datasheet.md | # Alpaca Instruction Following Dataset
## Motivation
### For what purpose was the dataset created?
To enable more open-source research on instruction following large language models, we use generate 52K instruction-followng demonstrations using OpenAI's text-davinci-003 model.
### Who created the dataset
- [Rohan Tao... | 5,585 | 53.764706 | 233 | md |
null | stanford_alpaca-main/generate_instruction.py | """
batch_selfinstruct_generate.py
run:
python -m generate_instruction generate_instruction_following_data \
--output_dir ./ \
--num_instructions_to_generate 10 \
--model_name="text-davinci-003" \
"""
import time
import json
import os
import random
import re
import string
from functools import partial
from multi... | 8,381 | 37.449541 | 137 | py |
null | stanford_alpaca-main/model_card.md | ---
# Alpaca Model Card
## Model details
**Organization developing the model**
Stanford Hashimoto Group
**Model date**
Alpaca was trained in March 2023
**Model version**
This is version 1 of the model.
**Model type**
Alpaca models are instruction-following models finetuned from LLaMA models.
**More information**
P... | 2,089 | 39.192308 | 157 | md |
null | stanford_alpaca-main/train.py | # Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 8,263 | 36.058296 | 119 | py |
null | stanford_alpaca-main/utils.py | import dataclasses
import logging
import math
import os
import io
import sys
import time
import json
from typing import Optional, Sequence, Union
import openai
import tqdm
from openai import openai_object
import copy
StrOrOpenAIObject = Union[str, openai_object.OpenAIObject]
openai_org = os.getenv("OPENAI_ORG")
if o... | 6,481 | 36.252874 | 117 | py |
null | stanford_alpaca-main/weight_diff.py | # Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 6,137 | 37.603774 | 126 | py |
null | CARL-main/.codecov.yml | #see https://github.com/codecov/support/wiki/Codecov-Yaml
codecov:
require_ci_to_pass: yes
coverage:
# 2 = xx.xx%, 0 = xx%
precision: 2
# https://docs.codecov.com/docs/commit-status
status:
# We want our total main project to always remain above 87% coverage, a
# drop of 0.20% is allowed. It shoul... | 1,158 | 23.659574 | 83 | yml |
null | CARL-main/.pre-commit-config.yaml | # If you see me, please update my `rev` field using the provided links
# Click the repo and update to latest tags.
# If things break on update, raise an issue
repos:
- repo: https://github.com/PyCQA/isort
rev: 5.12.0
hooks:
- id: isort
name: isort imports carl
files: carl/.*
arg... | 1,439 | 21.857143 | 74 | yaml |
null | CARL-main/.readthedocs.yaml | # use version 2, which is now recommended
version: 2
build:
os: ubuntu-20.04
tools:
python: "3.9"
# Build from the docs/ directory with Sphinx
sphinx:
configuration: docs/conf.py
# build all
formats: all
# Explicitly set the version of Python and its requirements
python:
install:
- method: pip
... | 370 | 15.130435 | 59 | yaml |
null | CARL-main/README.md | <img align="left" width="80" src="./docs/source/figures/CARL_logo.png" alt="CARL">
# – The Benchmark Library
CARL (context adaptive RL) provides highly configurable contextual extensions
to several well-known RL environments.
It's designed to test your agent's generalization capabilities
in all scenarios where intra-t... | 4,675 | 45.76 | 187 | md |
null | CARL-main/changelog.md | # 0.2.1
- Add Finger (DMC) env
- Readd RNA env (#78)
# 0.2.0
- Integrate dm control environments (#55)
- Add context masks to only append those to the state (#54)
- Extend classic control environments to parametrize initial state distributions (#52)
- Remove RNA environment for maintenance (#61)
- Fixed pre-commit (my... | 380 | 26.214286 | 86 | md |
null | CARL-main/setup.py | import os
import setuptools
from carl import (
author,
author_email,
description,
package_name,
project_urls,
url,
version,
)
HERE = os.path.dirname(os.path.realpath(__file__))
def read_file(filepath: str) -> str:
with open(filepath, "r", encoding="utf-8") as fh:
return fh.r... | 2,639 | 22.157895 | 66 | py |
null | CARL-main/.github/workflows/dist.yaml | name: dist-check
on:
# Manually triggerable in github
workflow_dispatch:
# When a push occurs on either of these branches
push:
branches:
- main
- development
# When a push occurs on a PR that targets these branches
pull_request:
branches:
- main
- development
jobs:
dis... | 1,391 | 21.451613 | 65 | yaml |
null | CARL-main/.github/workflows/precommit.yaml | name: pre-commit
on:
# Manually triggerable in github
workflow_dispatch:
# When a push occurs on either of these branches
push:
branches:
- main
- development
# When a push occurs on a PR that targets these branches
pull_request:
branches:
- main
- development
jobs:
run... | 731 | 17.3 | 58 | yaml |
null | CARL-main/.github/workflows/tests.yaml | name: Tests
on:
# Manually triggerable in github
workflow_dispatch:
# When a push occurs on either of these branches
push:
branches:
- main
- development
# When a push occurs on a PR that targets these branches
pull_request:
branches:
- main
- development
schedule:
... | 3,330 | 25.436508 | 120 | yaml |
null | CARL-main/carl/__init__.py | __license__ = "Apache-2.0 License"
__version__ = "0.2.0"
__author__ = "Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Aditya Mohan, Sebastian Döhler"
import datetime
name = "CARL"
package_name = "ContextuaRL"
author = __author__
author_email = "benjamins@tnt.uni-hannover.de"
description = "C... | 683 | 28.73913 | 116 | py |
null | CARL-main/carl/context/__init__.py | 0 | 0 | 0 | py | |
null | CARL-main/carl/context/augmentation.py | from typing import Any, List, Union
import numpy as np
def add_gaussian_noise(
default_value: Union[float, List[float]],
percentage_std: Union[float, Any] = 0.01,
random_generator: np.random.Generator = None,
) -> Union[float, Any]:
"""
Add gaussian noise to default value.
Parameters
---... | 1,494 | 35.463415 | 119 | py |
null | CARL-main/carl/context/sampling.py | # flake8: noqa: W605
from typing import Any, Dict, List, Tuple
import numpy as np
from scipy.stats import norm
from carl import envs
from carl.utils.types import Context, Contexts
def get_default_context_and_bounds(
env_name: str,
) -> Tuple[Dict[Any, Any], Dict[Any, Any]]:
"""
Get context feature defau... | 7,309 | 38.301075 | 120 | py |
null | CARL-main/carl/context/selection.py | from __future__ import annotations
from abc import abstractmethod
from typing import Any, Callable, List, Optional, Tuple
import numpy as np
from carl.utils.types import Context, Contexts
class AbstractSelector(object):
"""
Base class for context selectors.
Context is selected when calling `select`, n... | 4,448 | 25.640719 | 102 | py |
null | CARL-main/carl/context/utils.py | from typing import Any, Dict, List, Tuple, Type
import numpy as np
def get_context_bounds(
context_keys: List[str], context_bounds: Dict[str, Tuple[float, float, Type[Any]]]
) -> Tuple[np.ndarray, np.ndarray]:
"""
Get context bounds for specific features.
Could add sophisticated method here.
Pa... | 2,130 | 30.80597 | 113 | py |
null | CARL-main/carl/envs/__init__.py | # flake8: noqa: F401
# Modular imports
import importlib.util as iutil
import warnings
# Classic control is in gym and thus necessary for the base version to run
from carl.envs.classic_control import *
# Environment loading
box2d_spec = iutil.find_spec("Box2D")
found = box2d_spec is not None
if found:
from carl.en... | 1,188 | 25.422222 | 117 | py |
null | CARL-main/carl/envs/carl_env.py | from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional, Tuple, Type, Union
import importlib
import inspect
import json
import os
from types import ModuleType
import gym
import numpy as np
from gym import Wrapper, spaces
from carl.context.augmentation import add_gaussian_noise
from ... | 23,659 | 39.934256 | 118 | py |
null | CARL-main/carl/envs/box2d/__init__.py | # flake8: noqa: F401
from carl.envs.box2d.carl_bipedal_walker import (
CONTEXT_BOUNDS as CARLBipedalWalkerEnv_bounds,
)
from carl.envs.box2d.carl_bipedal_walker import (
DEFAULT_CONTEXT as CARLBipedalWalkerEnv_defaults,
)
from carl.envs.box2d.carl_bipedal_walker import CARLBipedalWalkerEnv
# Contextenvs.s and ... | 867 | 36.73913 | 88 | py |
null | CARL-main/carl/envs/box2d/carl_bipedal_walker.py | from typing import Dict, List, Optional, Union
import numpy as np
from Box2D.b2 import edgeShape, fixtureDef, polygonShape
from gym.envs.box2d import bipedal_walker
from gym.envs.box2d import bipedal_walker as bpw
from carl.context.selection import AbstractSelector
from carl.envs.carl_env import CARLEnv
from carl.uti... | 10,598 | 35.42268 | 91 | py |
null | CARL-main/carl/envs/box2d/carl_lunarlander.py | from typing import Dict, List, Optional, Tuple, TypeVar, Union
from gym import Wrapper
from gym.envs.box2d import lunar_lander
from carl.context.selection import AbstractSelector
from carl.envs.carl_env import CARLEnv
from carl.utils.trial_logger import TrialLogger
from carl.utils.types import Context, Contexts
ObsT... | 6,349 | 34.082873 | 91 | py |
null | CARL-main/carl/envs/box2d/carl_vehicle_racing.py | from typing import Any, Dict, List, Optional, Tuple, Type, Union
import numpy as np
import pyglet
from gym.envs.box2d import CarRacing
from gym.envs.box2d.car_dynamics import Car
from pyglet import gl
from carl.context.selection import AbstractSelector
from carl.envs.box2d.parking_garage.bus import AWDBus # as Car
f... | 10,620 | 40.65098 | 118 | py |