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qualitative_analysis.py
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import test_scripts.rouge_local as local
from test_scripts.bleu_local import compute_bleu
def filtrar(lines, frase):
filtered = filter(lambda line: line.replace(" ","").replace("\n","") != frase.replace(" ","").replace("\n",""), lines)
return list(filtered)
def compute_cvpr_bleu(hyps, refs, max_order=4):
tokenized_hyps = []
tokenized_refs = []
for h in hyps:
tokenized_hyps.append(h.split())
for r in refs:
tokenized_refs.append([r.split()])
bleu_all_orders = []
for i in list(range(1, max_order+1)):
bleu, precisions, bp, ratio, translation_length, reference_length = compute_bleu(tokenized_refs, tokenized_hyps, max_order=i)
bleu_all_orders.append(round(bleu * 100, 2))
return bleu_all_orders
def compute_rouge_bleu(hyp, ref):
r = local.rouge([hyp], [ref])['rouge_l/f_score']*100
b = compute_cvpr_bleu([hyp], [ref])
return r, b
"""
hyps = []
refs = []
rouges = []
bleus = []
with open("tspnet_nl_gisleile_usuarios.txt", encoding="utf-8") as f:
lines = f.readlines()
f.close()
for line in lines:
if line == "\n":
continue
frase_pred = line.split(" || ")[0].replace("\n", "").lower()
frase_gt = line.split(" || ")[1].replace("\n", "").lower()
r, b = compute_rouge_bleu(frase_pred, frase_gt)
hyps.append(frase_pred)
refs.append(frase_gt)
rouges.append(r)
bleus.append(b)
zipped = zip(rouges, bleus, hyps, refs)
sorted_pairs = sorted(zipped, reverse=True)
tuples = zip(*sorted_pairs)
rouges, bleus, hyps, refs = [ list(tup) for tup in tuples ]
bleus1 = [bleu[0] for bleu in bleus]
bleus2 = [bleu[1] for bleu in bleus]
bleus3 = [bleu[2] for bleu in bleus]
bleus4 = [bleu[3] for bleu in bleus]
print(sum(rouges)/len(rouges))
for i in range(len(rouges)):
#print(hyps[i], "===", refs[i])
#print(hyps[i])
#print(refs[i])
#print('{0:.2f}'.format(rouges[i]))
#print('{0:.2f}'.format(bleus[i][3]))
#print('{0:.2f}'.format(bleus[i][0]), '{0:.2f}'.format(bleus[i][1]), '{0:.2f}'.format(bleus[i][2]), '{0:.2f}'.format(bleus[i][3]))
#print()
"""
with open("New_Libraria_Texts.txt", encoding="utf-8") as f:
lines = f.readlines()
f.close()
with open("nl_usuariogisleile_GUSTAVO_16.BW_04.A_1.test.txt", encoding="utf-8") as f:
preds = f.readlines()
f.close()
videos = []
hyps = []
refs = []
rouges = []
bleus = []
i = 0
for line in lines:
video_gt = line.split(";")[0]
frase_gt = line.split(";")[-1].replace("\n", "").lower()
for pred in preds:
video_pred = pred.split(" || ")[0]
frase_pred = pred.split(" || ")[1].replace("\n", "").lower()
if video_gt in video_pred:
i += 1
#print(i)
#print("GT:", frase_gt, "\nPRED:" , frase_pred)
r, b = compute_rouge_bleu(frase_pred, frase_gt)
#print(r, b, "\n")
videos.append(video_pred)
hyps.append(frase_pred)
refs.append(frase_gt)
rouges.append(r)
bleus.append(b)
zipped = zip(rouges, bleus, hyps, refs, videos)
#sorted_pairs = sorted(zipped, reverse=True)
sorted_pairs = zipped
tuples = zip(*sorted_pairs)
rouges, bleus, hyps, refs, videos = [ list(tup) for tup in tuples ]
bleus1 = [bleu[0] for bleu in bleus]
bleus2 = [bleu[1] for bleu in bleus]
bleus3 = [bleu[2] for bleu in bleus]
bleus4 = [bleu[3] for bleu in bleus]
print(sum(rouges)/len(rouges))
print(sum(bleus1)/len(rouges))
print(sum(bleus2)/len(rouges))
print(sum(bleus3)/len(rouges))
print(sum(bleus4)/len(rouges))
"""
for i in range(len(rouges)):
#print(videos[i])
#print(hyps[i], "===", refs[i])
#print(hyps[i])
#print(refs[i])
print('{0:.2f}'.format(rouges[i]), '{0:.2f}'.format(bleus[i][0]), '{0:.2f}'.format(bleus[i][1]), '{0:.2f}'.format(bleus[i][2]), '{0:.2f}'.format(bleus[i][3]))
#print("ROUGE:",'{0:.2f}'.format(rouges[i]))
#print('{0:.2f}'.format(bleus[i][3]))
#print("BLEUS:",'{0:.2f}'.format(bleus[i][0]), '{0:.2f}'.format(bleus[i][1]), '{0:.2f}'.format(bleus[i][2]), '{0:.2f}'.format(bleus[i][3]))
#print()
"""