kriegsman

#include "FastLED.h"

// ColorWavesWithPalettes
// Animated shifting color waves, with several cross-fading color palettes.
// by Mark Kriegsman, August 2015
//
// Color palettes courtesy of cpt-city and its contributors:
//   http://soliton.vm.bytemark.co.uk/pub/cpt-city/
//
// Color palettes converted for FastLED using "PaletteKnife" v1:

whatnick

/*
 *  This sketch sends ads1115 current sensor data via HTTP POST request to thingspeak server.
 *  It needs the following libraries to work (besides the esp8266 standard libraries supplied with the IDE):
 *
 *  - https://github.com/adafruit/Adafruit_ADS1X15
 *
 *  designed to run directly on esp8266-01 module, to where it can be uploaded using this marvelous piece of software:
 *
 *  https://github.com/esp8266/Arduino
 *

rasmusab

### An example of building a TensorFlow model from R using rPython ###
# For this script you need to 
# 1. Have python 2.7 installed.
# 2. Install the rPython package in R.
# 3. Install Google's TensorFlow library as per these instructions:
#     http://www.tensorflow.org/get_started/os_setup.md#binary_installation

### Here is how to setup and run a trivial TensorFlow model ###

# Load TensorFlow (I couldn't get this to work without setting sys.argv... )

tetkuz

Description

[Server] GStreamer ---> HTML [Client]

Require

• gstreamer-1.x
• Browser which supports video tag of HTML5

debian

nd-net

#!/usr/local/bin/python3

tags = {
    "Rechnung": "Rechnung",
    "Beleg": "Rechnung"
}
ocrLanguage = "deu"
verbose = False

import sys, subprocess

eerwitt

# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed

kukuruza

from math import sqrt

def put_kernels_on_grid (kernel, pad = 1):

  '''Visualize conv. filters as an image (mostly for the 1st layer).
  Arranges filters into a grid, with some paddings between adjacent filters.

  Args:
    kernel:            tensor of shape [Y, X, NumChannels, NumKernels]
    pad:               number of black pixels around each filter (between them)

kukuruza

# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

nebgnahz

Most GStreamer examples found online are either for Linux or for gstreamer 0.10.

This particular release note seems to have covered important changes, such as:

• ffmpegcolorspace => videoconvert
• ffmpeg => libav

Applying -v will print out useful information. And most importantly the negotiation results.

rondy

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?