def storeAccuracyPerPointsRemoved(accuracy):
'''
This function stores the amount of poinst removed per iteration.
'''
curShape = getShapeName(desiredClassLabel)
savePath = os.path.join(
os.path.split(__file__)[0], "testdata", "saliency_maps_ppi")
if not os.path.exists(savePath):
os.makedirs(savePath)
filePath = os.path.join(savePath, curShape + "_accuracy")
tdh.writeResult(filePath, accuracy)
def storeAmountOfUsedTime(usedTime):
'''
This function stores the amount of total time used per object.
'''
curShape = getShapeName(desiredClassLabel)
savePath = os.path.join(
os.path.split(__file__)[0], "testdata", "p-grad-CAM_performance")
if not os.path.exists(savePath):
os.makedirs(savePath)
filePath = os.path.join(savePath, curShape)
print("STORING FILES TO: ", filePath)
tdh.writeResult(filePath, usedTime)
def storeAmountOfPointsRemoved(numPointsRemoved):
'''
This function stores the amount of points removed per iteration.
'''
curShape = getShapeName(desiredClassLabel)
savePath = os.path.join(
os.path.split(__file__)[0], "testdata", "p-grad-CAM_ppi")
if not os.path.exists(savePath):
os.makedirs(savePath)
filePath = os.path.join(savePath, curShape + "_points_removed")
print("STORING FILES TO: ", filePath)
tdh.writeResult(filePath, numPointsRemoved)
def storeTestResults(mode, total_correct, total_seen, loss_sum, pred_val):
'''
This function stores the test data into seperate files for later retrieval.
'''
curShape = getShapeName(desiredClassLabel)
savePath = os.path.join(os.path.split(__file__)[0], "testdata", curShape)
if not os.path.exists(savePath):
os.makedirs(savePath)
mean_loss = loss_sum / float(total_seen)
accuracy = total_correct / float(total_seen)
filePath = os.path.join(
savePath,
curShape + "_" + str(numTestRuns) + "_" + str(mode) + "_meanloss")
print("STORING FILES TO: ", filePath)
tdh.writeResult(filePath, mean_loss)
filePath = os.path.join(
savePath,
curShape + "_" + str(numTestRuns) + "_" + str(mode) + "_accuracy")
print("STORING FILES TO: ", filePath)
tdh.writeResult(filePath, accuracy)
filePath = os.path.join(
savePath,
curShape + "_" + str(numTestRuns) + "_" + str(mode) + "_prediction")
print("STORING FILES TO: ", filePath)
tdh.writeResult(filePath, pred_val)
log_string('eval mean loss: %f' % mean_loss)
log_string('eval accuracy: %f' % accuracy)