cidereval.py

# coding: utf-8

# demo script for running CIDEr
import json
from .PyDataFormat.loadData import LoadData
from .pyciderevalcap.eval import CIDErEvalCap as ciderEval

# load the configuration file
config = json.loads(open('params.json', 'r').read())

pathToData = config['pathToData']
refName = config['refName']
candName = config['candName']
resultFile = config['resultFile']
df_mode = config['idf']

# Print the parameters
print("Running CIDEr with the following settings")
print("*****************************")
print("Reference File:%s" % refName)
print("Candidate File:%s" % candName)
print("Result File:%s" % resultFile)
print("IDF:%s" % df_mode)
print("*****************************")

# load reference and candidate sentences
loadDat = LoadData(pathToData)
gts, res = loadDat.readJson(refName, candName)

# calculate cider scores
scorer = ciderEval(gts, res, df_mode)
# scores: dict of list with key = metric and value = score given to each
# candidate
scores = scorer.evaluate()

# scores['CIDEr'] contains CIDEr scores in a list for each candidate
# scores['CIDErD'] contains CIDEr-D scores in a list for each candidate

with open(resultFile, 'w') as outfile:
    json.dump(scores, outfile)