def test100_003_score_multiattr(self):
attr1 = Attribute("1", 1, ["burgers"], [1], [0])
attr2 = Attribute("2", 1, ["fries"], [2], [0])
attr3 = Attribute("3", 1, ["tacos"], [3], [0])
packet = SearchPacket([attr1, attr2, attr3])
score = Scorer(packet)
text = "I hate tacos and love fries and burgers are okay."
self.assertEquals(score.score(text), [1, 2, 3, 0, 0])
def test100_002_score_mixed(self):
weights = [1, 3, 2, 2]
sentiments = [0, 0, 0, 0]
attribute = Attribute("Attribute1", 1, self.words, weights, sentiments)
packet = SearchPacket([attribute])
score = Scorer(packet)
text = "I hate tacos and love fries."
#tacos has weight 3, fries 2
self.assertEquals(score.score(text), [5, 0, 0, 0, 0])
depthScreenshots = []
for generatedChair in progressbar(newChairs, "Making Screenshots"):
perspectives = mps.captureDepth(generatedChair,
rotations,
imageWidth=224,
imageHeight=224)
depthScreenshots.append((generatedChair, perspectives))
s = Scorer()
# Assign a score
scoredChairs = []
for generatedChair, perspectives in progressbar(depthScreenshots,
"Evaluating Chairs"):
score = s.score(perspectives)
generatedChair.cachedScore = score
scoredChairs.append((generatedChair, score))
# sort models depending on the score, from bigger to smaller
chairsToDisplay = []
sortedChairs = sorted(scoredChairs, reverse=True, key=lambda tup: tup[1])
for chair, value in sortedChairs:
print(value)
chairsToDisplay.append(chair)
# we would need only 10 top chairs
chairsToDisplay = chairsToDisplay[:chairsToGenerateCount]
# export the chairs as .objs
for i in progressbar(range(len(chairsToDisplay)),
