Jacky Liu HTLife

## convert_kitti_bin_to_pcd.py
import numpy as np
import struct
from open3d import *

def convert_kitti_bin_to_pcd(binFilePath):
    size_float = 4
    list_pcd = []
    with open(binFilePath, "rb") as f:
        byte = f.read(size_float * 4)
        while byte:

## gist:f4f280c3257267d38c540e2648339b31
<!DOCTYPE html>
<meta charset="utf-8">
<style>

form {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  position: absolute;
  left: 10px;
  top: 10px;
}

## dark.txsprofile
[formats]
version=1.0
data\normal\priority=-1
data\normal\bold=false
data\normal\italic=false
data\normal\overline=false
data\normal\underline=false
data\normal\strikeout=false
data\normal\waveUnderline=false
data\normal\foreground=#f8f8f2

## ga.R
#R version 3.3.2


set.seed(10)

N_size = 20
N_bit = 8
Gen = 50
mut_freq = 0.1
Population = matrix(sample(c(0,1), size=N_size*N_bit, replace=TRUE), N_size, N_bit)

## install.sh
git clone https://github.com/nhdaly/tmux-better-mouse-mode ~/.tmux
echo 'set-option -g mouse on' >> ~/.tmux.conf
echo 'run-shell ~/.tmux/scroll_copy_mode.tmux' >> ~/.tmux.conf
tmux source-file ~/.tmux.conf

## .tmux.conf
Put this at the bottom of .tmux.conf:

# List of plugins
set -g @plugin 'tmux-plugins/tpm'
set -g @plugin 'tmux-plugins/tmux-sensible'
set -g @plugin 'nhdaly/tmux-better-mouse-mode'
# Other examples:
# set -g @plugin 'github_username/plugin_name'
# set -g @plugin 'git@github.com/user/plugin'
# set -g @plugin 'git@bitbucket.com/user/plugin'

## cnn_lstm.py
# pytorch mnist cnn + lstm

from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable

## cnn_lstm.py
def defModel():
    model = Sequential()
    #Izda.add(TimeDistributed(
    #    Convolution2D(40,3,3,border_mode='same'), input_shape=(sequence_lengths, 1,8,10)))
    model.add(
        TimeDistributed(
            Conv2D(32, (7, 7), padding='same', strides = 2),
            input_shape=(None, 540, 960, 2)))
    model.add(Activation('relu'))

## summary.py
def summary(input_size, model):
        def register_hook(module):
            def hook(module, input, output):
                class_name = str(module.__class__).split('.')[-1].split("'")[0]
                module_idx = len(summary)

                m_key = '%s-%i' % (class_name, module_idx+1)
                summary[m_key] = OrderedDict()
                summary[m_key]['input_shape'] = list(input[0].size())
                summary[m_key]['input_shape'][0] = -1

## 樣式(適用所有卡片)
.frontbg {
 background-color: #53cd80;
 border-radius: 7px;
 color: #fff;
 position: relative;
 left: 0;
}
.android .frontbg {
 background-color: #eelf34;
 border-radius: 7px;
	import numpy as np
	import struct
	from open3d import *

	def convert_kitti_bin_to_pcd(binFilePath):
	size_float = 4
	list_pcd = []
	with open(binFilePath, "rb") as f:
	byte = f.read(size_float * 4)
	while byte:
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	form {
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	position: absolute;
	left: 10px;
	top: 10px;
	}
	[formats]
	version=1.0
	data\normal\priority=-1
	data\normal\bold=false
	data\normal\italic=false
	data\normal\overline=false
	data\normal\underline=false
	data\normal\strikeout=false
	data\normal\waveUnderline=false
	data\normal\foreground=#f8f8f2
	#R version 3.3.2


	set.seed(10)

	N_size = 20
	N_bit = 8
	Gen = 50
	mut_freq = 0.1
	Population = matrix(sample(c(0,1), size=N_size*N_bit, replace=TRUE), N_size, N_bit)
	git clone https://github.com/nhdaly/tmux-better-mouse-mode ~/.tmux
	echo 'set-option -g mouse on' >> ~/.tmux.conf
	echo 'run-shell ~/.tmux/scroll_copy_mode.tmux' >> ~/.tmux.conf
	tmux source-file ~/.tmux.conf
	Put this at the bottom of .tmux.conf:

	# List of plugins
	set -g @plugin 'tmux-plugins/tpm'
	set -g @plugin 'tmux-plugins/tmux-sensible'
	set -g @plugin 'nhdaly/tmux-better-mouse-mode'
	# Other examples:
	# set -g @plugin 'github_username/plugin_name'
	# set -g @plugin 'git@github.com/user/plugin'
	# set -g @plugin 'git@bitbucket.com/user/plugin'
	# pytorch mnist cnn + lstm

	from __future__ import print_function
	import argparse
	import torch
	import torch.nn as nn
	import torch.nn.functional as F
	import torch.optim as optim
	from torchvision import datasets, transforms
	from torch.autograd import Variable
	def defModel():
	model = Sequential()
	#Izda.add(TimeDistributed(
	# Convolution2D(40,3,3,border_mode='same'), input_shape=(sequence_lengths, 1,8,10)))
	model.add(
	TimeDistributed(
	Conv2D(32, (7, 7), padding='same', strides = 2),
	input_shape=(None, 540, 960, 2)))
	model.add(Activation('relu'))
	def summary(input_size, model):
	def register_hook(module):
	def hook(module, input, output):
	class_name = str(module.__class__).split('.')[-1].split("'")[0]
	module_idx = len(summary)

	m_key = '%s-%i' % (class_name, module_idx+1)
	summary[m_key] = OrderedDict()
	summary[m_key]['input_shape'] = list(input[0].size())
	summary[m_key]['input_shape'][0] = -1
	.frontbg {
	background-color: #53cd80;
	border-radius: 7px;
	color: #fff;
	position: relative;
	left: 0;
	}
	.android .frontbg {
	background-color: #eelf34;
	border-radius: 7px;