RameshKamath

import os 
import sys
import tempfile
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.optim as optim 
import torch.multiprocessing as mp

from torch.nn.parallel import DistributedDataParallel as DDP

RameshKamath

Installing boost libraries for Windows

Folder setup

1. Extract downloaded Boost Source, e.g. C:\Program Files\boost_1_59_0.
2. Create a folder for Boost.Build installation, e.g. C:\Program Files\boost-build.
3. Create a folder within boost source for building, i.e. C:\Program Files\boost_1_59_0\build.
4. Create a folder as Boost Binary location for installation, e.g. C:\Program Files\boost.

Compiler Setup

1. Open Command prompt/Terminal.

RameshKamath

//
// Basic instrumentation profiler by Cherno

// Usage: include this header file somewhere in your code (eg. precompiled header), and then use like:
//
// Instrumentor::Get().BeginSession("Session Name");        // Begin session 
// {
//     InstrumentationTimer timer("Profiled Scope Name");   // Place code like this in scopes you'd like to include in profiling
//     // Code
// }

RameshKamath

import tensorflow as tf

with tf.Session() as sess:
    model_filename ='insert .pb File here'  #insert location of .pb file with mane of file
    with tf.gfile.FastGFile(model_filename, 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        g_in = tf.import_graph_def(graph_def,name="Model")
# for Log dir of tensorboard
LOGDIR='./logs' 

RameshKamath

#
# elevation_google_maps: A very simple python script that get elevation from latitude and longitude with google maps API by Guillaume Meunier
#            -- with edits from Ramesh Kamath <[email protected]>
# 
# -----------------------------------
# NO DEPENDANCIES except JSON and REQUESTS
# -----------------------------------
# 
# Copyright (c) 2016, Guillaume Meunier <[email protected]> 
# GEOJSON_export is free software; you can redistribute it and/or modify 

RameshKamath

"""simple code for accessing csv file and getting data"""
dic={}
import csv
with open('filename.csv') as f:
    ln= f.readlines()

for i in ln[1:]:
    dic[i.split(',')[0]]=int(i.split(',')[1])

RameshKamath

"""
VISUALISE THE LIDAR DATA FROM THE KITTI DATASET

Based on the sample code from
    https://github.com/utiasSTARS/pykitti/blob/master/demos/demo_raw.py
And:
    http://stackoverflow.com/a/37863912

Contains two methods of visualizing lidar data interactively.
 - Matplotlib - very slow, and likely to crash, so only 1 out of every 100