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@madratman
madratman / main.cpp
Created August 20, 2015 18:51
Tracking the seg fault
#include <ros/ros.h>
#include <actionlib/client/simple_action_client.h>
#include <control_msgs/FollowJointTrajectoryAction.h>
#include <descartes_moveit/moveit_state_adapter.h>
#include <descartes_planner/dense_planner.h>
#include <descartes_trajectory/axial_symmetric_pt.h>
#include <descartes_trajectory/cart_trajectory_pt.h>
#include <moveit/move_group_interface/move_group.h>
#include <moveit/robot_model_loader/robot_model_loader.h>
#include <moveit/robot_state/conversions.h>
#include <iostream>
#include <string>
#include <cstring>
#define xstr(a) str(a)
#define str(a) #a
int main()
{
std::string name = "madratman";
if( xstr(name) == "name" && !strcmp(xstr(name), "name") && "madratman"==name && "madratman"=="madratman" )
@madratman
madratman / compare_str_char_ptr.cpp
Last active February 27, 2016 18:12
compare_str_char_ptr.cpp
#include <iostream>
#include <string>
#include <cstring>
#define xstr(a) str(a)
#define str(a) #a
int main()
{
char* name = "madratman";
if( xstr(name) == "name" )
mport cPickle as pickle
from datetime import datetime
import os
import sys
import matplotlib.pyplot as plt
import numpy as np
from lasagne import layers
from sklearn.utils import shuffle
import theano
FROM ubuntu:14.04
LABEL maintainer "NVIDIA CORPORATION <[email protected]>"
LABEL com.nvidia.volumes.needed="nvidia_driver"
RUN NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/7fa2af80.pub && \
apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +2 > cudasign.pub && \
echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
def add_dilated(**kwargs):
# print kwargs['key']
return "net['{0}'] = DilatedConv2DLayer(net['{1}'], num_filters={2}, filter_size={3}, dilation={4}, name='{0}')".format(
kwargs['curr_layer_name'], kwargs['prev_layer_name'], kwargs['num_filters'], kwargs['filter_size'], kwargs['dilation'])
def add_vanilla(**kwargs):
# print kwargs['key']
return "net['{0}'] = ConvLayer(net['{1}'], num_filters={2}, filter_size={3}, pad={4}, name='{0}')".format(
kwargs['curr_layer_name'], kwargs['prev_layer_name'], kwargs['num_filters'], kwargs['filter_size'], kwargs['pad'])
@madratman
madratman / opencv manual
Last active May 5, 2017 06:35
opencv manual
cmake -D CMAKE_BUILD_TYPE=RELEASE
-D INSTALL_C_EXAMPLES=ON
-D INSTALL_PYTHON_EXAMPLES=OFF
-D OPENCV_EXTRA_MODULES_PATH=/home/ratneshmadaan/software/opencv_contrib/modules
-D BUILD_EXAMPLES=ON ..
don't forget to checkout tags in contrib and main repo
lol @ -D CMAKE_INSTALL_PREFIX=/home/ratneshmadaan/software/opencv/build/install
@madratman
madratman / docker with X transfer.md
Last active April 17, 2017 17:58
docker with X transfer

Add this to dockerfile:

RUN apt-get update RUN apt-get install -qqy x11-apps ENV DISPLAY :0

Authorise current user first in host: xhost +si:localuser:$USER

@madratman
madratman / params.yaml
Created March 20, 2017 04:27
stereo_params
# Kl = ( Mat_<float>(3,3) << Kl_[0], 0.0, Kl_[2],
# 0.0, Kl_[1], Kl_[3],
# 0.0, 0.0, 1.0 );
cam0:
Kl: [536.1659550000001, 536.538415, 317.456864, 261.798048] #fx, fy, cx, cy
Kr: [535.427087, 535.775524, 314.884298, 261.374341]
cam_bl: 0.17454185842
cam_height: 512
cam_model: Pinhole
cam_width: 640
@madratman
madratman / gist:a6c73dbd0a2301902f63f5035a945c1f
Created March 27, 2017 03:04
from rand import permissions
sudo chgrp -R GROUP_NAME PATH_TO_DIR
sudo chmod -R g+w PATH_TO_DIR #for write permission