"a5_LeftReconS2", "a6_LeftReconS4", "a7_LeftReconS8", "a8_LeftReconAll", "a13_RightReconS2", "a14_RightReconS4", "a15_RightReconS8", "a16_RightReconAll", ] normalizeIdx = [-1, 0, 0, 0, -1, 4, 4, 4] preToPostScale = [ .0294, .0294, .0294, .0294, .0294, .0294, .0294, .0294, ] if(doPlotRecon): print "Plotting reconstructions" plotRecon(layers, outputDir, skipFrames) if(doPlotErr): print "Plotting reconstruction error" plotReconError(preErrLayers, postErrLayers, preToPostScale, outputDir, errShowPlots, normalizeIdx, skipFrames)
import os, sys
lib_path = os.path.abspath("/home/slundquist/workspace/PetaVision/plab/")
sys.path.append(lib_path)
from plotRecon import plotRecon
from plotReconError import plotReconError
#For plotting
#import matplotlib.pyplot as plt
outputDir = "/nh/compneuro/Data/MLPLCA/LCA/heli_gt_test_single/"
skipFrames = 1 #Only print every 20th frame
doPlotRecon = True
doPlotErr = False
errShowPlots = False
layers = [
"a0_GroundTruth",
]
if (doPlotRecon):
print "Plotting reconstructions"
plotRecon(layers, outputDir, skipFrames)
#if(doPlotErr):
# print "Plotting reconstruction error"
# plotReconError(preErrLayers, postErrLayers, preToPostScale, outputDir, errShowPlots, skipFrames, gtLayers)
"a4_LeftReconS2", "a5_LeftReconS4", "a6_LeftReconS8", ] gtLayers = None #gtLayers = [ # #"a25_DepthRescale", # #"a25_DepthRescale", # #"a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", #] preToPostScale = [ 1, 1, 1, ] if(doPlotRecon): print "Plotting reconstructions" plotRecon(layers, outputDir, skipFrames, 0, True) plotRecon(depthLayers, outputDir, skipFrames, 0, False) if(doPlotErr): print "Plotting reconstruction error" plotReconError(preErrLayers, postErrLayers, preToPostScale, outputDir, errShowPlots, skipFrames, gtLayers)
"a6_LeftReconS8", ] gtLayers = None #gtLayers = [ # #"a25_DepthRescale", # #"a25_DepthRescale", # #"a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", #] preToPostScale = [ .0294, .0294, .0294, 1, 1, 1, ] if(doPlotRecon): print "Plotting reconstructions" plotRecon(layers, outputDir, skipFrames, 0, False) if(doPlotErr): print "Plotting reconstruction error" plotReconError(preErrLayers, postErrLayers, preToPostScale, outputDir, errShowPlots, skipFrames, gtLayers)
tfLines = tf.readlines()
tf.close()
#Remove first line
tfLines.pop(0)
rank = [int(line.split(":")[0]) for line in tfLines]
skipFrames = 1 #Only print every 20th frame
startFrames = 0
doPlotRecon = True
layers = [
"LeftRecon_slice",
"RightRecon_slice"
]
print("Plotting reconstructions")
for i, r in enumerate(rank):
dataDir = baseDir + "paramsweep_" + str(r-1).zfill(3) + "/"
plotRecon(layers, dataDir, skipFrames, 0, True, baseDir, "_rank"+str(i+1).zfill(3)+"_neuron"+str(r).zfill(3))
baseDir = "/home/ec2-user/mountData/benchmark/featuremap/norect/icaweights_LCA_all/"
##One recon for all combined
plotRecon(layers, baseDir, skipFrames, 0, True, baseDir, "_all")
# #"a25_DepthRescale", # #"a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", # "a25_DepthRescale", #] preToPostScale = [ .0294, #.0294, #.0294, #.0294, #1, #1, #1, #1, #1, #1, #1, #1, ] if(doPlotRecon): print "Plotting reconstructions" plotRecon(layers, outputDir, skipFrames, startFrame) if(doPlotErr): print "Plotting reconstruction error" plotReconError(preErrLayers, postErrLayers, preToPostScale, outputDir, errShowPlots, skipFrames, gtLayers)