def fetchImage(imgID):
html = "<B>View Image From Tiff File</B><BR>"
# Get the stack ID from input ID:
if imgID in reverseLookUpStacks:
stackID = reverseLookUpStacks[imgID]
mD = metaData[stackID]
html += getInfo(imgID, mD, stackID)
html += "<BR><BR>"
html += "<TABLE><TR><TD>Channel</TD><TD>Segment</TD><TD>Score</TD><TD>Image</TD><TD>Look for similarities</TD></TR>"
# Get score info:
with open(replacer(pathToScoreFile, stackID, "", "", "")) as fI:
scoreInfo = pickle.load(fI)
# Now show each neuron as a row entry:
for thisChan in scoreInfo:
for thisLab in scoreInfo[thisChan]:
html += "<TR><TD>" + chanDict[thisChan] + "</TD><TD>" + str(
thisLab
) + "</TD><TD>" + '{0:.3f}'.format(
scoreInfo[thisChan][thisLab]['singleScore']
) + "</TD><TD><IMG src='../getProj?id=" + stackID + "&chan=" + thisChan + "&flip=&lab=" + str(
thisLab
) + "' height='20%'></TD><TD><a href='../webFindSim?id=" + stackID + "&chan=" + thisChan + "&lab=" + str(
thisLab
) + "&flip='>Original</a> <a href='../webFindSim?id=" + stackID + "&chan=" + thisChan + "&lab=" + str(
thisLab) + "&flip=F'>Flip</a></TD></TR>"
html += "</TABLE>"
else:
html += "Not found:<BR>" + imgID
return html
def get_image():
thisID = request.args.get('id')
thisChan = request.args.get('chan')
thisLab = request.args.get('lab')
thisFlip = request.args.get('flip')
fileOut = replacer(pathToProj, thisID, thisChan, thisFlip, thisLab)
return send_file(fileOut, mimetype='image/gif')
def searchSim():
thisID = request.args.get('id')
thisChan = request.args.get('chan')
thisLab = request.args.get('lab')
thisFlip = request.args.get('flip')
thisType = sC.getTypeForID(thisID)
html = "<B>Searching for similar cells</B><BR>"
tU = metaData[thisID]
html += getInfo(thisID, tU, thisID)
html += "<TABLE><TR><TH>Original/Flip:</TH><TH>Channel:</TH><TH>Label:</TH></TH></TR>"
html += "<TR><TD>" + flipDict[thisFlip] + "</TD><TD>" + chanDict[
thisChan] + "</TD><TD>" + thisLab + "</TD></TR></TABLE>"
if thisType != -1:
thisOne = {
STACKTYPE: thisType,
ID: thisID,
FLIP: thisFlip,
CHAN: thisChan,
LAB: thisLab
}
simList = sC.findSimilar(thisOne, 0.25, False)
if len(simList) > 0:
simListRef = mU150.findSimilar(thisOne, simList)
if simListRef[1] != -1:
html += "<TABLE><TR><TD>Channel</TD><TD>Flipped Or Not</TD><TD>Matching Score</TD><TD>Alignment Score</TD><TD>Image</TD><TD>GMR</TD></TR>"
for i in range(10):
thisInfo = simListRef[0][i]
fI = open(
replacer(pathToScoreFile, thisInfo[0][0], "", "", ""))
scoreInfo = pickle.load(fI)
fI.close()
html += "<TR><TD>" + chanDict[
thisInfo[0][1]] + "</TD><TD>" + flipDict[
thisInfo[0][2]] + "</TD><TD>" + str(
thisInfo[1]
) + "</TD><TD>" + '{0:.3f}'.format(
scoreInfo[thisInfo[0][1]][int(
thisInfo[0][3])]['singleScore']
) + "</TD><TD><IMG src='../getProj?id=" + thisInfo[
0][0] + "&chan=" + thisInfo[0][
1] + "&flip=" + thisInfo[0][
2] + "&lab=" + str(
thisInfo[0][3]
) + "' height='20%'></TD><TD>" + metaData[
thisInfo[0]
[0]]['fileGMRa'] + "</TD></TR>"
html += "</TABLE>"
else:
html += "Search failed due to input data not found in skel150NBlastProc"
else:
html += "Search failed due to input data not found in smootheProc"
else:
html += "Search failed due to input data not found in smootheProc"
return html
def viewList(mU150,simList,metaData,pathToScoreFile):
thisType = BRAIN
html = ""
if len(simList)>0:
html+= "<TABLE><TR><TD>Channel</TD><TD>Flipped Or Not</TD><TD>Matching Score</TD><TD>Alignment Score</TD><TD>Image</TD><TD>GMR</TD></TR>"
for j in range(300 if 300<len(simList) else len(simList)):
jKey = simList[j][0]
thisScore = simList[j][1]+simList[j][0]
thisInfo = mU150.infoC[thisType][jKey]
resPath = replacer(pathToScoreFile,thisInfo[0],"","","")
thisAlScore = ""
if os.path.isfile(resPath):
with open(resPath) as fI:
scoreInfo = pickle.load(fI)
if int(thisInfo[3]) in scoreInfo[thisInfo[2]]:
thisAlScore = '{0:.3f}'.format(scoreInfo[thisInfo[2]][int(thisInfo[3])]['singleScore'])
html+="<TR><TD>"+chanDict[thisInfo[2]]+"</TD><TD>"+flipDict[thisInfo[1]]+"</TD><TD>"+str(thisScore)+"</TD><TD>"+str(thisAlScore)+"</TD><TD><IMG src='../getProj?id="+thisInfo[0]+"&chan="+thisInfo[2]+"&flip="+thisInfo[1]+"&lab="+str(thisInfo[3])+"' height='20%'></TD><TD>"+metaData[thisInfo[0]]['fileGMRa']+"</TD></TR>"
html+="</TABLE>"
return html