pablovela5620

[project]
name = "GaussianPro"
version = "0.1.0"
description = "Add a short description here"
authors = ["pablovela5620 <pablovela5620@gmail.com>"]
channels = ["nvidia/label/cuda-11.8.0", "nvidia", "conda-forge", "pytorch"]
platforms = ["linux-64"]

[tasks]
torch-gpu-check = """

pablovela5620

[project]
name = "Pytorch"
version = "0.1.0"
description = "Add a short description here"
channels = ["nvidia/label/cuda-11.8.0", "nvidia", "conda-forge", "pytorch"]
platforms = ["linux-64"]

[tasks]

[dependencies]

pablovela5620

// Copyright 2019 The MediaPipe Authors.
//
// 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/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,

pablovela5620

import os.path
import tensorflow as tf
import helper
import warnings
from distutils.version import LooseVersion
import project_tests as tests

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion(
    '1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)

pablovela5620

/*
 * particle_filter.cpp
 *
 *  Created on: Dec 12, 2016
 *      Author: Tiffany Huang
 */
#define _USE_MATH_DEFINES

#include <random>
#include <algorithm>

pablovela5620

/*
 * particle_filter.cpp
 *
 *  Created on: Dec 12, 2016
 *      Author: Tiffany Huang
 */
#define _USE_MATH_DEFINES

#include <random>
#include <algorithm>

pablovela5620

#ifndef UKF_H
#define UKF_H

#include "measurement_package.h"
#include "Eigen/Dense"
#include <vector>
#include <string>
#include <fstream>

using Eigen::MatrixXd;

pablovela5620

#ifndef UKF_H
#define UKF_H

#include "measurement_package.h"
#include "Eigen/Dense"
#include <vector>
#include <string>
#include <fstream>

using Eigen::MatrixXd;

pablovela5620

#include "ukf.h"
#include "Eigen/Dense"
#include <iostream>

using namespace std;
using Eigen::MatrixXd;
using Eigen::VectorXd;
using std::vector;

//CONSTANT TURN RATE AND VELOCITY MODEL USED

pablovela5620

#include "FusionEKF.h"
#include "tools.h"
#include "Eigen/Dense"
#include <iostream>

using namespace std;
using Eigen::MatrixXd;
using Eigen::VectorXd;
using std::vector;