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@viveksck
Forked from Yangqing/mr_compute_gist.py
Created March 8, 2014 23:38
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from mincepie import mapreducer, launcher
import gflags
import glob
import leargist
import numpy as np
import os
from PIL import Image
import uuid
# constant value
GIST_DIM = 960
GIST_DTYPE = np.float32
# gflags
gflags.DEFINE_string("input_folder", "",
"The folder that contains all input images, organized in synsets.")
gflags.DEFINE_string("output_folder", "",
"The folder that we write output features to")
FLAGS = gflags.FLAGS
def process_image(filename, max_size=256):
"""Takes an image name and computes the gist feature
"""
im = Image.open(filename)
im.thumbnail((max_size, max_size), Image.ANTIALIAS)
return leargist.color_gist(im)
class PygistMapper(mapreducer.BasicMapper):
"""The ImageNet Compute mapper. The input value would be a synset name.
"""
def map(self, key, value):
if type(value) is not str:
value = str(value)
files = glob.glob(os.path.join(FLAGS.input_folder, value, '*.JPEG'))
files.sort()
features = np.zeros((len(files), GIST_DIM), dtype = GIST_DTYPE)
for i, f in enumerate(files):
try:
feat = process_image(f)
features[i] = feat
except Exception, e:
# we ignore the exception (maybe the image is corrupted or
# pygist has some bugs?)
print f, Exception, e
outname = str(uuid.uuid4()) + '.npy'
np.save(os.path.join(FLAGS.output_folder, outname), features)
yield value, outname
mapreducer.REGISTER_DEFAULT_MAPPER(PygistMapper)
class PygistReducer(mapreducer.BasicReducer):
def reduce(self, key, values):
"""The Reducer basically renames the numpy file to the synset name
Input:
key: the synset name
value: the temporary name from map
"""
os.rename(os.path.join(FLAGS.output_folder, values[0]),
os.path.join(FLAGS.output_folder, key + '.npy'))
return key
mapreducer.REGISTER_DEFAULT_REDUCER(PygistReducer)
mapreducer.REGISTER_DEFAULT_READER(mapreducer.FileReader)
mapreducer.REGISTER_DEFAULT_WRITER(mapreducer.FileWriter)
if __name__ == "__main__":
launcher.launch()
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