Python cifarObj примеры использования

Пример #1

Файл: adam_cifar_topdown.py Проект: xueyangfu/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.adamTopDown import AdamTopDown
import numpy as np
import pdb

trainImageLists = "/home/slundquist/mountData/datasets/cifar/images/train.txt"
#testImageLists = "/home/slundquist/mountData/datasets/cifar/images/test.txt"
randImageSeed = None
#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainImageLists,
                        resizeMethod="crop",
                        shuffle=True,
                        seed=randImageSeed)
#testDataObj = cifarObj(testImageLists, resizeMethod="pad")

#ISTA params
params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    'runDir': "/adam_cifar_topdown/",
    'tfDir': "/tfout",
    #Save parameters
    'ckptDir': "/checkpoints/",
    'saveFile': "/save-model",
    'savePeriod': 200,  #In terms of displayPeriod
    #output plots directory
    'plotDir': "plots/",
    'plotPeriod': 100,  #With respect to displayPeriod

Пример #2

Файл: adam_cifar_testeval.py Проект: slundqui/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.adam import AdamSP
#from plot.roc import makeRocCurve
import numpy as np
import pdb

#trainImageLists =  "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testImageLists = "/home/slundquist/mountData/datasets/cifar/images/test.txt"
randImageSeed = None
#Get object from which tensorflow will pull data from
#trainDataObj = cifarObj(trainImageLists, resizeMethod="pad", shuffle=False, seed=randImageSeed)
testDataObj = cifarObj(testImageLists, resizeMethod="pad", shuffle=False, seed=randImageSeed)

#ISTA params
params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    'runDir':          "/adam_cifar_nf256_eval/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      20, #With respect to displayPeriod
    #Progress step
    'progress':        200,

Пример #3

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.fista import FISTA
#from plot.roc import makeRocCurve
import numpy as np
import pdb

#trainImageLists =  "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testImageLists = "/home/slundquist/mountData/datasets/cifar/images/test.txt"
randImageSeed = None
#Get object from which tensorflow will pull data from
#trainDataObj = cifarObj(trainImageLists, resizeMethod="pad", shuffle=False, seed=randImageSeed)
testDataObj = cifarObj(testImageLists,
                       resizeMethod="pad",
                       shuffle=False,
                       seed=randImageSeed)

#ISTA params
params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    'runDir': "/fista_cifar_nf256_eval/",
    'tfDir': "/tfout",
    #Save parameters
    'ckptDir': "/checkpoints/",
    'saveFile': "/save-model",
    'savePeriod': 100,  #In terms of displayPeriod
    #output plots directory
    'plotDir': "plots/",

Пример #4

Файл: fista_cifar_topdown.py Проект: slundqui/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.fistaTopDown import FISTATopDown
#from plot.roc import makeRocCurve
import numpy as np
import pdb

trainImageLists =  "/home/slundquist/mountData/datasets/cifar/images/train.txt"
#testImageLists = "/home/slundquist/mountData/datasets/cifar/images/test.txt"
randImageSeed = None
#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainImageLists, resizeMethod="pad", shuffle=True, seed=randImageSeed)
#testDataObj = cifarObj(testImageLists, resizeMethod="pad")

#FISTA params
params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    #'runDir':          "/fista_cifar_topdown_4layer/",
    'runDir':          "/fista_cifar_topdown/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      100, #With respect to displayPeriod
    #Progress step

Пример #5

Файл: eval_cifar_supervised_train.py Проект: slundqui/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.supervised_control import Supervised
import numpy as np
import pdb

#Paths to list of filenames
trainList =  "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testList =  "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainList, resizeMethod="crop", shuffle=True, skip=1, seed=None, getGT=True)
testDataObj = cifarObj(testList, resizeMethod="crop", shuffle=False, skip=1, seed=None, getGT=True)

params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/tfLCA/",
    #Inner run directory
    'runDir':          "/cifar_sup_128/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      200, #With respect to displayPeriod
    #Progress step
    'progress':        10,
    #Controls how often to write out to tensorboard

Пример #6

Файл: cifar_supervised_train_limited.py Проект: xueyangfu/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.supervised_control import Supervised
import numpy as np
import pdb

#Paths to list of filenames
trainList = "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testList = "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainList,
                        resizeMethod="crop",
                        shuffle=True,
                        skip=1,
                        seed=None,
                        getGT=True,
                        rangeIdx=range(128))
testDataObj = cifarObj(testList,
                       resizeMethod="crop",
                       shuffle=True,
                       skip=1,
                       seed=None,
                       getGT=True)

params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    'runDir': "/cifar_sup_256_limited/",

Пример #7

Файл: train_cifar.py Проект: slundqui/DeepGAP

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.VGGGap import VGGGap
import numpy as np
import pdb

#Paths to list of filenames
trainImageList = "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testImageList = "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainImageList, resizeMethod="pad")
testDataObj = cifarObj(testImageList, resizeMethod="pad")

params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/DeepGAP/",
    #Inner run directory
    'runDir': "/cifar/",
    'tfDir': "/tfout",
    #Save parameters
    'ckptDir': "/checkpoints/",
    'saveFile': "/save-model",
    'savePeriod': 100,  #In terms of displayPeriod
    #output plots directory
    'plotDir': "plots/",
    'plotPeriod': 100,  #With respect to displayPeriod
    #Progress step
    'progress': 10,
    #Controls how often to write out to tensorboard

Пример #8

Файл: train_cifar.py Проект: slundqui/DeepGAP

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.VGGGap import VGGGap
import numpy as np
import pdb

#Paths to list of filenames
trainImageList = "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testImageList = "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainImageList, resizeMethod="pad")
testDataObj = cifarObj(testImageList, resizeMethod="pad")

params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/DeepGAP/",
    #Inner run directory
    'runDir':          "/cifar/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      100, #With respect to displayPeriod
    #Progress step
    'progress':        10,
    #Controls how often to write out to tensorboard

Пример #9

import matplotlib

matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.supervised_control import Supervised
import numpy as np
import pdb

#Paths to list of filenames
trainList = "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testList = "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainList,
                        resizeMethod="crop",
                        shuffle=True,
                        skip=1,
                        seed=None,
                        getGT=True)
testDataObj = cifarObj(testList,
                       resizeMethod="crop",
                       shuffle=False,
                       skip=1,
                       seed=None,
                       getGT=True)

params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/tfLCA/",
    #Inner run directory
    'runDir': "/cifar_sup_128/",
    'tfDir': "/tfout",

Пример #10

Файл: cifar_supervised_train_limited.py Проект: slundqui/TFSparseCode

import matplotlib
matplotlib.use('Agg')
from dataObj.image import cifarObj
from tf.supervised_control import Supervised
import numpy as np
import pdb

#Paths to list of filenames
trainList =  "/home/slundquist/mountData/datasets/cifar/images/train.txt"
testList =  "/home/slundquist/mountData/datasets/cifar/images/test.txt"

#Get object from which tensorflow will pull data from
trainDataObj = cifarObj(trainList, resizeMethod="crop", shuffle=True, skip=1, seed=None, getGT=True, rangeIdx=range(128))
testDataObj = cifarObj(testList, resizeMethod="crop", shuffle=True, skip=1, seed=None, getGT=True)

params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/tfSparseCode/",
    #Inner run directory
    'runDir':          "/cifar_sup_256_limited/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      200, #With respect to displayPeriod
    #Progress step
    'progress':        10,
    #Controls how often to write out to tensorboard