biggan

1 files changed, 0 insertions, 57 deletions

diff --git a/cli/app/commands/process/fetch.py b/cli/app/commands/process/fetch.py
deleted file mode 100644
index 5b6c102..0000000
--- a/cli/app/commands/process/fetch.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import click
-
-from app.utils import click_utils
-from app.settings import app_cfg
-
-from os.path import join
-from subprocess import call
-
-@click.command('')
-# @click.option('-i', '--input', 'opt_dir_in', required=True, 
-#   help='Path to input image glob directory')
-# @click.option('-r', '--recursive', 'opt_recursive', is_flag=True)
-@click.pass_context
-def cli(ctx):
-  """
-  """
-
-  # app_cfg.MODELZOO_CFG
-  import gensim
-  
-  # from nltk.corpus import wordnet as wn
-  # synsets = wordnet.synsets("fir_tree")
-  # synonyms = [ lemma.name() for lemma in synsets[0].lemmas() ]
-
-  imagenet = Imagenet()
-
-  sentence = "The quick brown fox jumps over the lazy dog"
-  tokens = gensim.utils.simple_preprocess(sentence)
-
-class Imagenet:
-  def __init__():
-    tokens = {}
-    with open(app_cfg.FP_IMAGENET_WORDS, "r") as fp:
-      for line in fp.readlines():
-        wordnet_id, word_list = line.split('\t')
-        words = [word.trim() for word in word_list.split(',')]
-        for word in words:
-          tokens[word] = wordnet_id
-    self.tokens = tokens
- 
-  def get_wordnet_ids_for_words(tokens):
-    # for token in tokens:
-      # if token in tokens:
-    pass
-
-  def images_from_wordnet_id(wordnet_id):
-    """
-    Given a Wordnet ID, download images for this class
-    """
-    call([
-      "python",
-      join(app_cfg.DIR_APP, "../ImageNet-Datasets-Downloader/downloader.py"),
-      '-data_root', app_cfg.FP_IMAGENET,
-      '-use_class_list', 'True',
-      '-class_list', wordnet_id,
-      '-images_per_class', app_cfg.IMAGENET_IMAGES_PER_CLASS
-    ])