aswalin

talperetz

wingrime

import mmh3
import pandas as pd
def get_positive_hash(x):
    s =   " ".join(get_unique_tokens(x))
    return mmh3.hash(s) % 2**31

df['group_id'] = df['query_string'].apply(get_positive_hash )


query_groups = df.groupby("group_id")

goodhamgupta

# Script to convert yolo annotations to voc format

# Sample format
# <annotation>
#     <folder>_image_fashion</folder>
#     <filename>brooke-cagle-39574.jpg</filename>
#     <size>
#         <width>1200</width>
#         <height>800</height>
#         <depth>3</depth>

saurabh02

mrocklin

sevamoo

mesgarpour

#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import warnings
import numpy as np
import pandas as pd
import sys

__author__ = "Mohsen Mesgarpour"
__copyright__ = "Copyright 2016, https://github.com/mesgarpour"
__credits__ = ["Mohsen Mesgarpour"]

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np