Eugenio Culurciello culurciello

I dream and build new technology to improve the world

culurciello / ssd-test.lua

Last active August 29, 2015 14:22

SSD torch7 batch test

	--------------------------------------------------------------------------------
	-- E. Culurciello SSD speed test for batch 128
	-------------------------------------------------------------------------------

	print('SSD test program in for Torch7 batches')

	torch.manualSeed(1)
	torch.setdefaulttensortype('torch.FloatTensor')
	torch.setnumthreads(8)

culurciello / My-Unix-shortcuts.md

Last active August 29, 2015 14:23 — forked from Atcold/My-Unix-shortcuts.md

My Unix shortcuts and tips

culurciello / ffmpeg.rtf

Created June 13, 2015 19:05


	to resize 1080p videos:
	ffmpeg -i pool.mp4 -vf scale=640:360 pool-small.mp4

	to match odroid fps (12fps): need to speed up video:
	https://trac.ffmpeg.org/wiki/How%20to%20speed%20up%20/%20slow%20down%20a%20video
	1:
	ffmpeg -i dog.mp4 -vf scale=640:360 -filter:v "setpts=0.5*PTS" dog-2x.mp4
	because it does not scale with this command, so we need to do more:
	2:

culurciello / My-Unix-shortcuts.md

Last active December 21, 2016 04:10 — forked from Atcold/My-Unix-shortcuts.md

culurciello / LineSegmentCetector.lua

Created February 7, 2016 00:46

	local cv = require 'cv'
	require 'cv.highgui'
	require 'cv.imgproc'
	require 'cv.imgcodecs'
	require 'image'

	-- local image = cv.imread{arg[1] or 'demo/lena.jpg', cv.IMREAD_GRAYSCALE}
	imgT = image.lena()
	imgT = image.lena()
	imgTg = imgT[2] -- convert to grayscale and remove the first dimension

culurciello / recurrent-multilayer.lua

Created September 2, 2016 19:32

	-- Eugenio Culurciello
	-- August 2016
	-- a test to learn to code PredNet-like nets in Torch7

	require 'nn'
	require 'nngraph'

	torch.setdefaulttensortype('torch.FloatTensor')
	nngraph.setDebug(true)

culurciello / RL-example.py

Last active December 21, 2016 04:02

	#! /usr/bin/env python3
	# E. Culurciello, example of reinforcement learning in Python
	#
	# http://mnemstudio.org/path-finding-q-learning-tutorial.htm
	# Game: 5 rooms connected through doors. One room is the goal-room.
	# the goal of the game is to get to the goal-room

	import numpy as np

	# this is how rooms are connected:

culurciello / xception.lua

Last active March 13, 2021 09:06

	-- Xception model
	-- a Torch7 implementation of: https://arxiv.org/abs/1610.02357
	-- E. Culurciello, October 2016

	require 'nn'
	local nClasses = 1000

	function nn.SpatialSeparableConvolution(nInputPlane, nOutputPlane, kW, kH)
	local block = nn.Sequential()
	block:add(nn.SpatialConvolutionMap(nn.tables.oneToOne(nInputPlane), kW,kH, 1,1, 1,1))

culurciello / table-test.lua

Last active November 23, 2016 12:53


	-- E. Culurciello, November 2016
	-- test to see if table insert/remove is slower than table addressing

	iters = 1e5
	tablesize = 1e4
	tab1={}
	item = torch.randn(iters,1024)

	sys.tic()

culurciello / pytorch failure Titan X (Maxwell)

Created January 26, 2017 15:53

	elab@gpu5 ~/pytorch-examples/imagenet [master*]$ python3 main.py -a alexnet /media/SuperSSD/test-dataset-train-val/
	=> creating model 'alexnet'
	Traceback (most recent call last):
	File "main.py", line 286, in <module>
	main()
	File "main.py", line 129, in main
	train(train_loader, model, criterion, optimizer, epoch)
	File "main.py", line 165, in train
	output = model(input_var)
	File "/usr/local/lib/python3.4/dist-packages/torch/nn/modules/module.py", line 210, in __call__