LimHyungTae

import ray
import torch
import os
import torch
print("CUDA Available:", torch.cuda.is_available())
print("CUDA Device Count:", torch.cuda.device_count())
print("Current CUDA Device:", torch.cuda.current_device())
print("CUDA Device Name:", torch.cuda.get_device_name(torch.cuda.current_device()))

print(os.environ.get("CUDA_VISIBLE_DEVICES"))

LimHyungTae

#include <iostream>
#include <string>
#include <vector>

#include <pcl/io/pcd_io.h>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <tools/nvutils.h>

#include "tools/pose_utils.hpp"

LimHyungTae

#!/bin/bash

# Find all compile_commands.json files under ./build directory
find ./build -type f -name "compile_commands.json" | while read src_file; do
    # Extract the package name from the file path
    package_name=$(echo "$src_file" | sed -e 's|./build/\([^/]*\)/compile_commands.json|\1|')
    
    # Define the destination path
    dest_file="./src/${package_name}/compile_commands.json"
    

LimHyungTae

import numpy as np

rot = np.array([[9.999976e-01, 7.553071e-04, -2.035826e-03], [-7.854027e-04, 9.998898e-01, -1.482298e-02], [2.024406e-03, 1.482454e-02, 9.998881e-01]])
t = np.array([-8.086759e-01, 3.195559e-01, -7.997231e-01])

tf = np.eye(4)

tf[:3, :3] = rot
tf[:3, 3] = t

LimHyungTae

#include <iostream>
#include <vector>
#include <utility>
#include <queue>

using namespace std;

void bfs(int start, vector<vector<int>>& adj, vector<bool>& visited, vector<int>& cluster) {
    queue<int> q;
    q.push(start);

LimHyungTae

#include "ceres/ceres.h"
#include "glog/logging.h"

using namespace std;

void PassByAddress(const Eigen::Vector3d *b) {
    cout << (*b)(0) << ", " << (*b)(1) << ", " << (*b)(2) << endl;
}

void PassByData(const double* b) {

LimHyungTae

#include <iostream>
#include <cmath>

using namespace std;

double prob2logOdds(double prob) {
    return 2 * atanh(2 * prob - 1);
}

double logOdds2prob(double log_odds) {

LimHyungTae

# First, CUDA and its driver should be installed 
# for saving time
# 1. Set off the nouveau 
# (reference: https://support.huawei.com/enterprise/de/doc/EDOC1100165479/93fe5683/how-to-disable-the-nouveau-driver-for-different-linux-systems)

a) Create the /etc/modprobe.d/blacklist-nouveau.conf file and add the following information to the file.
```
blacklist nouveau
options nouveau modeset=0
```

LimHyungTae

/******************************************************************************

                              Online C++ Compiler.
               Code, Compile, Run and Debug C++ program online.
Write your code in this editor and press "Run" button to compile and execute it.

*******************************************************************************/

#include <iostream>
#include <unordered_map>

LimHyungTae

import os
from PIL import Image, ImageDraw
import h5py
import numpy as np
from helper.intrinsics import *
import matplotlib.pyplot as plt
cmap = plt.cm.jet
import cv2
from helper.tf_helpers import get_T_c_l
import open3d