Elijah elijahc

ffmpeg -r 24 -pattern_type glob -i '*.JPG' -i DSC_%04d.JPG -s hd1080 -vcodec libx264 timelapse.mp4

Use gphoto2 to operate camera from raspberry pi

Python 3.4 or greater

pip install --upgrade jupyterhub notebook

	# Inspired by
	# http://forums.fast.ai/t/tip-clear-tensorflow-gpu-memory/1979
	# https://github.com/tensorflow/tensorflow/issues/1578#issuecomment-200544189
	import keras.backend as K

	def limit_mem():
	K.get_session().close()
	cfg = K.tf.ConfigProto()
	cfg.gpu_options.allow_growth = True
	K.set_session(K.tf.Session(config=cfg))

	ACTION=="add"
	KERNEL=="sd?1", \
	ATTRS{busnum}=="3", \
	ATTRS{devpath}=="2", \
	ENV{mount_point}=df "$env{DEVNAME}" \| tail -1 \| awk '{ print $6}'
	SYMLINK+="bak_src", \
	RUN+="/bin/rm /media/bak_src", RUN+="/bin/ln -s $env{mount_point} /media/bak_src"

	ACTION=="remove"
	KERNEL=="sd?1", \

	import keras.backend as K

	def reset_weights(model):
	session = K.get_session()
	for layer in model.layers:
	if hasattr(layer, 'kernel_initializer'):
	layer.kernel.initializer.run(session=session)

	# Source:
	# https://sourceforge.net/p/jaer/code/HEAD/tree/scripts/python/jAER_utils/loadaerdat.py
	import struct
	import os

	V3 = "aedat3"
	V2 = "aedat" # current 32bit file format
	V1 = "dat" # old format

	EVT_DVS = 0 # DVS event type

	# Install the relevant system requirements
	sudo apt-get update

	# Install Python 2.7 w/ development headers
	sudo apt-get install -y python
	sudo apt-get install -y python-dev

	# Install NEURON deps
	sudo apt-get install -y libx11-dev
	sudo apt-get install -y libxext-dev