#!/usr/bin/env python import sys import operator import json import argparse from skimage.util import img_as_float from utils import parse_synonyms, format_classifications classifications = format_classifications(sys.stdin.read()) sorted_list = sorted(classifications.items(), key=operator.itemgetter(1), reverse=True) cl = sorted_list[0][0] pr = classifications[cl] if len(sorted_list) > 1: cl2 = sorted_list[1][0] pr2 = classifications[cl2] if pr2 * 2.0 >= pr: print "Classification not confident." else: print cl + ": " + str(pr) else: print cl + ": " + str(pr)
import os
import shutil
from skimage import io
from skimage.util import img_as_float
from utils import format_classifications, parse_synonyms
match_dir = "tmp/match"
if os.path.isdir(match_dir):
shutil.rmtree(match_dir)
os.mkdir(match_dir)
data = sys.stdin.read()
print data
classifications = format_classifications(data)
sorted_list = sorted(classifications.items(), key=operator.itemgetter(1), reverse=True)
cl = sorted_list[0][0]
print "searching for " + cl
inverted_annotation = json.load(open("tmp/inverted-annotation.json"))
annotation = json.load(open("tmp/annotation.json"))
log = open("tmp/match/log.txt", "w")
class_file = open("tmp/match/class.txt", "w")
class_file.write(cl)
class_file.close()
