hum4n0id

• Gstreamer Pipeline Samples
  • Video
    • display test video
    • record to file
    • record and display at the same time(queue)
    • record webcam to *.mp4(jetson nano)
    • fps test
  • Audio
  • Mux Video and Audio
• Media File

tik0

'''Example of VAE on MNIST dataset using MLP

tf-2.0 adaptation of the keras implementation [1]
with additional output of the reconstruction
and KL losses as discussed in [2]

# Reference

[1] https://github.com/keras-team/keras/blob/master/examples/variational_autoencoder.py
[2] https://stackoverflow.com/q/54069363/2084944

lucasw

#!/usr/bin/env python
# PointCloud2 color cube
# https://answers.ros.org/question/289576/understanding-the-bytes-in-a-pcl2-message/
import rospy
import struct

from sensor_msgs import point_cloud2
from sensor_msgs.msg import PointCloud2, PointField
from std_msgs.msg import Header

mattseymour

Prerequisties install:
- sudo apt-get install build-essential checkinstall

These are the dependancies required by python:
- sudo apt-get install libbz2-dev libc6-dev libgdbm-dev libncursesw5-dev libreadline-gplv2-dev libssl-dev libsqlite3-dev tk-dev

Download the tar source file from python.org (at the time of writing 3.6.1 is the latest release):
- wget -O ~/Downloads/python3.6.1.tgz https://www.python.org/ftp/python/3.6.1/Python-3.6.1.tgz

Via command line navigate to the downloaded file directory:

gyglim

"""Simple example on how to log scalars and images to tensorboard without tensor ops.

License: BSD License 2.0
"""
__author__ = "Michael Gygli"

import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np

bgrins

/*
Export bookmarks from Chrome as text.
Go to Bookmarks Manager->Organize->Export to HTML file. 
Then open that file, open console and run this command:
*/

[].map.call(document.querySelectorAll("dt a"), function(a) {
   return a.textContent + " - " + a.href
}).join("\n");