def on_LoadXray_released(self):
"""
Slot documentation goes here.
"""
fileName = QFileDialog.getOpenFileName(self, "Open X-ray File", "","DICOM Files (*.dcm)")
(reader, img) = dicom.open_image(str(fileName))
self.mOrignialXRayImage = img
self.display_image( self.mOrignialXRayImage )
self.dectectJointsButton.enabledChange(True)
print str(fileName)
def on_LoadXray_released(self):
"""
Slot documentation goes here.
"""
fileName = QFileDialog.getOpenFileName(self, "Open X-ray File", "",
"DICOM Files (*.dcm)")
(reader, img) = dicom.open_image(str(fileName))
self.mOrignialXRayImage = img
self.display_image(self.mOrignialXRayImage)
self.dectectJointsButton.enabledChange(True)
print str(fileName)
def __init__(self):
self.fileNameRef = '../training/Case1.dcm'
(reader, self.imgSample) = dicom.open_image(str(self.fileNameRef))
self.imgSample = self.resize_image(self.imgSample)
self.patch = self.imgSample[50:100][:,185:270] # only tip
#> ipython --pylab --deep-reload
import numpy as np
scores = np.loadtxt('../training/scores.txt')
import dicom
(reader, img) = dicom.open_image("../training/Case1.dcm")
from AgeDetermination import AgeDetermination
aClass = AgeDetermination()
aClass.detect_joints_of_interest(img)
# in ipython run ->
# run fromShell.py
#scores = np.loadtxt('../training/scores.txt')
aClass = AgeDetermination()
directory = '../extractedJoints'
if not os.path.exists(directory):
os.makedirs(directory)
#Add numbers of the working studies here:
okImg = [
1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 23, 26, 27,
28, 29, 30, 33
]
for i in okImg:
(reader, img) = dicom.open_image("../training/Case" + str(i) + ".dcm")
fingers = aClass.detect_joints_of_interest(img)
if (len(fingers) == 2):
if (len(fingers['littleFinger']) == 3):
jointNum = 1
for joint in fingers['littleFinger']:
imsave(
directory + '/' + str(i) + "_littleFinger_" +
str(jointNum) + ".png", joint)
jointNum = jointNum + 1
if (len(fingers['middleFinger']) == 3):
jointNum = 1
for joint in fingers['middleFinger']:
imsave(
images=list()
fingerImagesPool[finger]=images
imgLF1=Image.new('L',size)
images.append(imgLF1)
imgLF2=Image.new('L',size)
images.append(imgLF2)
if (images!='thumb'):
imgLF3=Image.new('L',size)
images.append(imgLF3)
for i in okImg:
(reader, img) = dicom.open_image("../training/Case" + str(i) + ".dcm")
fingers = aClass.detect_joints_of_interest(img)
for fingerName in evaluatedFingers:
if(len(fingers)==3):
if(len(fingers[fingerName])>=2):
jointNum=1
for joint in fingers[fingerName]:
#imagesLF[jointNum-1].paste(Image.fromarray((255.0*255.0/joint.max()*(joint-joint.min())).astype(np.uint16)),((i-1)*140,0))
fingerImagesPool[fingerName][jointNum-1].paste(Image.fromarray((255.0/joint.max()*(joint-joint.min())).astype(np.uint8)),((i-1)*140,0))
#imagesLF[jointNum-1].paste(Image.fromarray(joint,'L'),((i-1)*140,0))
jointNum = jointNum+1
#write down images
def __init__(self):
self.fileNameRef = '../training/Case1.dcm'
(reader, self.imgSample) = dicom.open_image(str(self.fileNameRef))
self.imgSample = self.resize_image(self.imgSample)
self.patch = self.imgSample[50:100][:, 185:270] # only tip
#> ipython --pylab --deep-reload
import numpy as np
scores = np.loadtxt('../training/scores.txt')
import dicom
(reader, img) = dicom.open_image("../training/Case1.dcm")
from AgeDetermination import AgeDetermination
aClass = AgeDetermination()
aClass.detect_joints_of_interest(img)
# in ipython run ->
# run fromShell.py
