This gist contains notes and links pertaining to the VSB Power Line Fault Detection kaggle competition
[0] Analysis of Time Series Data - T. Vantuch (Thesis)
[1] A Complex Classification Approach of Partial Discharges - T. Vantuch Et. Al
cmake_minimum_required(VERSION 2.8.3) | |
project(sync_example) | |
find_package(catkin REQUIRED COMPONENTS message_filters roscpp sensor_msgs) | |
catkin_package( | |
CATKIN_DEPENDS message_filters roscpp sensor_msgs | |
) | |
include_directories(${catkin_INCLUDE_DIRS}) |
import argparse | |
import multiprocessing | |
from math import ceil | |
import torch | |
from torch.utils import data | |
from torchvision import datasets, transforms | |
class FiniteRandomSampler(data.Sampler): | |
def __init__(self, data_source, num_samples): |
This gist contains notes and links pertaining to the VSB Power Line Fault Detection kaggle competition
[0] Analysis of Time Series Data - T. Vantuch (Thesis)
[1] A Complex Classification Approach of Partial Discharges - T. Vantuch Et. Al
#include <ros/ros.h> | |
#include <ros/spinner.h> | |
#include <ros/callback_queue.h> | |
#include <std_msgs/Empty.h> | |
#include <std_msgs/Bool.h> | |
boost::shared_ptr<ros::AsyncSpinner> g_spinner; | |
bool g_enable = false; |
PyTorch is a Python deep learning library that's currently gaining a lot of traction, because it's a lot easier to debug and prototype (compared to TensorFlow / Theano).
To install PyTorch on the Duckietbot you have to compile it from source, because there is no pro-compiled binary for ARMv7 / ARMhf available. This guid will walk you through the required steps.
First you need to install some additional packages. You might already have installed. If you do, that's not a problem.
PyTorch is a Python deep learning library that's currently gaining a lot of traction, because it's a lot easier to debug and prototype (compared to TensorFlow / Theano).
To install PyTorch on the Duckietbot you have to compile it from source, because there is no pro-compiled binary for ARMv7 / ARMhf available. This guid will walk you through the required steps.
First you need to install some additional packages. You might already have installed. If you do, that's not a problem.
This document is research for the selection of a communication platform for robot-net.
The purpose of this component is to enable rapid, reliable, and elegant communication between the various nodes of the network, including controllers, sensors, and actuators (robot drivers). It will act as the core of robot-net to create a standardized infrastructure for robot control.
Requirements:
# Python3.5 (Raspbian 8 comes with Python3.4) | |
cd ~ #or somewhere | |
sudo apt-get purge python3 | |
wget https://www.python.org/ftp/python/3.5.2/Python-3.5.2.tar.xz | |
tar -xvf Python-3.5.2.tar.xz | |
cd Python-3.5.2 | |
./configure | |
make | |
sudo make install |
cd /usr/src
curl -L https://www.rtai.org/userfiles/downloads/RTAI/rtai-4.1.tar.bz2 | tar xj
curl -L https://www.kernel.org/pub/linux/kernel/v3.x/linux-3.10.32.tar.xz | tar xJ
curl -L http://kernel.ubuntu.com/~kernel-ppa/mainline/v3.10.32-saucy/linux-image-3.10.32-031032-generic_3.10.32-031032.201402221635_amd64.deb -o linux-image-3.10.32-generic-amd64.deb