Skip to content

Instantly share code, notes, and snippets.

@keithweaver
keithweaver / split-video-by-frame.py
Created May 10, 2017 19:30
Using OpenCV takes a mp4 video and produces a number of images.
'''
Using OpenCV takes a mp4 video and produces a number of images.
Requirements
----
You require OpenCV 3.2 to be installed.
Run
----
Open the main.py and edit the path to the video. Then run:

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

What's an Effective Engineer?

@MehdiNS
MehdiNS / ordered_dithering.txt
Last active October 30, 2023 17:15
Ordered dithering explanation
(Written as a way to stop forgetting these things.
May be wrong sometimes, as it's just the result of my research here and there.
If it helps you, give me a shout!)
Ordered dithering is a technique used to reduce - deliberately! - the precision of an image.
Motivation : artistic (mainly ?), color quantization --> reduce the number of color in an image
----------------------------------------------------------------
INTRODUCTION
@udibr
udibr / gruln.py
Last active November 7, 2020 02:34
Keras GRU with Layer Normalization
import numpy as np
from keras.layers import GRU, initializations, K
from collections import OrderedDict
class GRULN(GRU):
'''Gated Recurrent Unit with Layer Normalization
Current impelemtation only works with consume_less = 'gpu' which is already
set.
# Arguments
@gbaman
gbaman / HowToOTGFast.md
Last active April 30, 2025 02:59
Simple guide for setting up OTG modes on the Raspberry Pi Zero, the fast way!

Setting up Pi Zero OTG - The quick way (No USB keyboard, mouse, HDMI monitor needed)

More details - http://blog.gbaman.info/?p=791

For this method, alongside your Pi Zero, MicroUSB cable and MicroSD card, only an additional computer is required, which can be running Windows (with Bonjour, iTunes or Quicktime installed), Mac OS or Linux (with Avahi Daemon installed, for example Ubuntu has it built in).
1. Flash Raspbian Jessie full or Raspbian Jessie Lite onto the SD card.
2. Once Raspbian is flashed, open up the boot partition (in Windows Explorer, Finder etc) and add to the bottom of the config.txt file dtoverlay=dwc2 on a new line, then save the file.
3. If using a recent release of Jessie (Dec 2016 onwards), then create a new file simply called ssh in the SD card as well. By default SSH i

@danijar
danijar / blog_tensorflow_sequence_labelling.py
Last active January 12, 2024 15:18
TensorFlow Sequence Labelling
# Example for my blog post at:
# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf
def lazy_property(function):
attribute = '_' + function.__name__
import tensorflow as tf
import numpy as np
if __name__ == '__main__':
np.random.seed(1)
# the size of the hidden state for the lstm (notice the lstm uses 2x of this amount so actually lstm will have state of size 2)
size = 1
# 2 different sequences total
batch_size= 2
# the maximum steps for both sequences is 10
import time
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Lambda, TimeDistributedDense
from keras.layers.recurrent import LSTM
from keras.layers.embeddings import Embedding
from keras.optimizers import RMSprop
from keras.utils import np_utils
import numpy as np
import matplotlib.pyplot as plt
@kylemcdonald
kylemcdonald / Infinite MNIST.ipynb
Last active October 12, 2016 06:50
Generating MNIST images with LSTMs (non-stateful version).
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@igul222
igul222 / ctc.py
Last active March 22, 2016 09:36
Theano CTC implementation with performance and numerical stability optimizations
# Author: Ishaan Gulrajani
# License: BSD 3-clause
import numpy
import theano
import theano.tensor as T
# log(0) = -infinity, but this leads to
# NaN errors in log_add and elsewhere,
# so we'll just use a large negative value.