def __init__(self,Pathx, B):
path = "/media/iglu/Data/DatasetIglu"
i = 0
Analysis.initial()
files = open("Output_1_L.txt", 'w')
start_time = timeit.default_timer()
for x in os.listdir(path):
# if i == 0:
# i += 1
# continue
# else:
if Pathx != x:
continue
for y in os.listdir(path + "/" + x) :
if (y != "Objects.txt") and not y.endswith(".zip"):
# print path+"/"+x+"/"+y+"/k1"
f = open(path + "/" + x + "/" + y + "/k1" + "/List.txt", 'r')
f2 = open(path + "/" + x + "/" + y + "/speech.txt", 'r')
speak = f2.readline()
if speak == 'This...':
sp = 1
elif speak == 'That...':
sp = 2
else:
sp = 0
mn = 0
for line in f:
Time = line
file1 = next(f).rstrip('\n')
file2 = next(f).rstrip('\n')
Label = next(f).rstrip('\n')
# files.write(RGB.__str__())
# files.write(Depth.__str__())
# files.write(Label+" "+x+" "+file1+"\n")
if mn == 0:
RGB = cv2.imread(path + "/" + x + "/" + y + "/k1" + "/RGB/" + file1)
Depth = cv2.imread(path + "/" + x + "/" + y + "/k1" + "/Depth/" + file2)
Analysis.addDepth(Depth)
Analysis.addRGB(RGB)
Analysis.addSpeech(sp)
Analysis.addScene(Label)
else:
if mn == 2:
mn = -1
mn += 1
# print "Enviado " + x + " " + y
i += 1
elapsed = timeit.default_timer() - start_time
print "Tiempo: " + elapsed.__str__()
print "Starting Training"
start_time = timeit.default_timer()
Analysis.CompleteAnalysis(B, False, True, 0.3, files)
files.close()
# Analysis.Mostrar()
# code you want to evaluate
elapsed = timeit.default_timer() - start_time
print "Tiempo: " + elapsed.__str__()
def __init__(self,B):
path = "/media/iglu/Data/Dataset/DatasetIglu/Dataset_cleaned_v4"
i = 0
Analysis.initial()
files = open("Output_1_L.txt", 'w')
start_time = timeit.default_timer()
for x in os.listdir(path):
# if i == 0:
# i += 1
# continue
# else:
f = open(path+"/"+x+"/List.txt",'r')
for line in f:
Time = line
file1 = next(f).rstrip('\n')
file2 = next(f).rstrip('\n')
Label = next(f).rstrip('\n')
RGB = cv2.imread(path+"/"+x+"/RGB/"+file1)
Depth = cv2.imread(path+"/"+x+"/Depth/"+file2)
# files.write(RGB.__str__())
# files.write(Depth.__str__())
# files.write(Label+" "+x+" "+file1+"\n")
Analysis.addDepth(Depth)
Analysis.addRGB(RGB)
Analysis.addScene(Label)
i += 1
print "Enviado "+x
# if i > 150:
# break
elapsed = timeit.default_timer() - start_time
print "Tiempo: "+elapsed.__str__()
print "Starting Training"
start_time = timeit.default_timer()
Analysis.CompleteAnalysis(B,True,0.3,files)
files.close()
#Analysis.Mostrar()
# code you want to evaluate
elapsed = timeit.default_timer() - start_time
print "Tiempo: "+elapsed.__str__()
def __init__(self):
def nothing(x):
pass
self.node_name = "cv_bridge_demo"
rospy.init_node(self.node_name)
self.BoW = BoW.BoW("/home/iglu/catkin_ws/src/RGBDHand/src/bof.pkl")
Analysis.initial()
# What we do during shutdown
rospy.on_shutdown(self.cleanup)
# Create the OpenCV display window for the RGB image
self.cv_window_name = self.node_name
cv.NamedWindow(self.cv_window_name, cv.CV_WINDOW_NORMAL)
cv.MoveWindow(self.cv_window_name, 25, 75)
# And one for the depth image
cv.NamedWindow("Depth Image", cv.CV_WINDOW_NORMAL)
cv.MoveWindow("Depth Image", 25, 350)
# And one for the depth image
cv.NamedWindow("Histogram", cv.CV_WINDOW_NORMAL)
cv.MoveWindow("Histogram", 480, 350)
self.bridge = CvBridge()
self.Im_p = Image_Process.Image_Process()
# Subscribe to the camera image and depth topics and set
# the appropriate callbacks
self.RGB_sub = message_filters.Subscriber('/camera/rgb/image_raw', Image)
self.Depth_sub = message_filters.Subscriber('/camera/depth/image_raw', Image)
# rospy.Subscriber('Scene',String,callbackS)
self.ts = message_filters.ApproximateTimeSynchronizer([self.RGB_sub, self.Depth_sub], 1,1)
# self.image_sub = rospy.Subscriber("/camera/rgb/image_rect_color", Image, self.image_callback)
# self.depth_sub = rospy.Subscriber("/camera/depth/image_raw", Image, self.depth_callback)
self.ts.registerCallback(self.image_callback)
self.depth = np.zeros((480,680))
rospy.loginfo("Waiting for image topics...")
import os
import Image_Process
import cv2
import cv2.cv as cv
import numpy as np
import BoW
import SVM
import Analysis
import Descriptors
B = BoW.BoW("BoWSS.pkl")
# if B.loaded:
# print "BoW already computed"
# exit
path = "/media/iglu/Data/rgbd-dataset"
i = 0
Analysis.initial()
start_time = timeit.default_timer()
i = 0
for x in os.listdir(path):
# if i == 0:
# i += 1
# continue
# else:
mn=0
D=False
R=False
if x.startswith("Test"):
continue
for y in os.listdir(path + "/" + x):
for z in os.listdir(path +"/"+x +"/"+y+"/"):
if z.endswith("_crop.png"):