Python run Exemples

Exemple #1

Fichier : download_and_convert_data.py Projet : hyojeonglee/smgo_image_classifier

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'smgo':
        download_and_convert_smgo.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'smgo6':
        download_and_convert_smgo6.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist_eo':
        download_and_convert_mnist_eo.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist_11':
        download_and_convert_mnist_11.run(FLAGS.dataset_dir)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_dir)

Exemple #2

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'wikiart':
        if not FLAGS.input_dataset_dir is None:
            convert_wikiart.run(FLAGS.input_dataset_dir, FLAGS.dataset_dir)

        else:
            raise ValueError(
                "For wikiart, you must supply a valid input directory with --input_dataset_dir"
            )
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #3

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'chair':
    download_and_convert_chair.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'stand':
    download_and_convert_stand.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'desk':
    download_and_convert_desk.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'sofa':
    download_and_convert_sofa.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'bed':
    download_and_convert_bed.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wardrobe_cabinet':
    download_and_convert_wardrobe_cabinet.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'tv_stand':
    download_and_convert_tv_stand.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'table':
    download_and_convert_table.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'television':
    download_and_convert_television.run(FLAGS.dataset_dir)
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_name)

Exemple #4

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'visualwakewords':
        download_and_convert_visualwakewords.run(
            FLAGS.dataset_dir, FLAGS.small_object_area_threshold,
            FLAGS.foreground_class_of_interest)
    elif FLAGS.dataset_name == 'generic':
        download_and_convert_generic.run(FLAGS.dataset_dir,
                                         perc_validation=FLAGS.perc_validation,
                                         labels_filename=FLAGS.labels_filename,
                                         num_shards=FLAGS.num_shards)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #5

Fichier : download_and_convert_data.py Projet : rudgns410/graduate_thesis

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'pic':
        download_and_convert_pic.run(FLAGS.dataset_dir)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #6

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_dir)

Exemple #7

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'cifar10_val':
    download_and_convert_cifar10_val.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
   elif FLAGS.dataset_name == ''google_speech':
    download_and_convert_google_speech.run(FLAGS.dataset_dir)

Exemple #8

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':  #提供的三个数据集,[cifar10],[flowers],[mnist]
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)  #数据经名字不属于上述三个

Exemple #9

def main(_):
    if not FLAGS.dataset_name:  #supply v.  补给, 提供, 供给; 替代他人职务, 替代
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    else:
        raise ValueError(  #recognized v.  认出, 识别; 正式承认; 认识; 认可, 认定
            'dataset_name [%s] was not recognized.' % FLAGS.dataset_name)

Exemple #10

Fichier : download_and_convert_data.py Projet : x2ss/Fine-gained-Classification

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'expand':
      convert_foldered_images.run()
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_dir)

Exemple #11

Fichier : download_and_convert_data.py Projet : vtalreja/models

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')
  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'casia':
    download_and_convert_casia.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_face_2013':
      download_and_convert_wvu_face_2013.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_face_overlap_2013':
      download_and_convert_wvu_face_overlap_2013.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_face_overlap_2012':
      download_and_convert_wvu_face_overlap_2012.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_face_overlap_frontal_2012':
      download_and_convert_wvu_face_overlap_frontal_2012.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_face_overlap_2012_no_repeat':
	  download_and_convert_wvu_joint_face_overlap_2012_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_iris_overlap_2012_no_repeat':
      download_and_convert_wvu_joint_iris_overlap_2012_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_face_overlap_2013_no_repeat':
      download_and_convert_wvu_joint_face_overlap_2013_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_iris_overlap_2013_no_repeat':
      download_and_convert_wvu_joint_iris_overlap_2013_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_iris_and_face_overlap_2013_no_repeat':
      download_and_convert_wvu_joint_iris_and_face_overlap_2013_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_joint_iris_and_face_overlap_2012_no_repeat':
      download_and_convert_wvu_joint_iris_and_face_overlap_2012_no_repeat.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_iris_2013':
      download_and_convert_wvu_iris_2013.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_iris_overlap_2013':
      download_and_convert_wvu_iris_overlap_2013.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'wvu_iris_overlap_2012':
      download_and_convert_wvu_iris_overlap_2012.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'casia_ndiris':
    download_and_convert_casia_ndiris.run(FLAGS.dataset_dir)
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_dir)

Exemple #12

Fichier : download_and_convert_data.py Projet : WinterW/models

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    else:
        print(
            'dataset_name [%s] was not official support, please make sure having this folder in data dir.'
            % FLAGS.dataset_name)
        img2tfrecord.run(FLAGS.dataset_dir)

Exemple #13

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError('You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError('You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'quiz':
        convert_quiz.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'pj_vehicle':
        convert_pj_vehicle.run(FLAGS.dataset_dir)
    else:
        raise ValueError(
            'dataset_name [%s] was not recognized.' % FLAGS.dataset_name)

Exemple #14

Fichier : download_and_convert_data.py Projet : yyz277322264/pig_recognize_JD

def main(_):
    FLAGS.dataset_name = 'cifar10'
    FLAGS.dataset_dir = 'D:/pig_recognize/models/research/slim/cifar10'
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #15

Fichier : download_and_convert_data.py Projet : aotmaie/models

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            "You must supply the dataset name with --dataset_name")
    if not FLAGS.dataset_dir:
        raise ValueError(
            "You must supply the dataset directory with --dataset_dir")

    if FLAGS.dataset_name == "cifar10":
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == "flowers":
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == "mnist":
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == "custom":
        download_and_convert_custom.run(FLAGS.dataset_dir)
    else:
        raise ValueError("dataset_name [%s] was not recognized." %
                         FLAGS.dataset_name)

Exemple #16

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'custom':
        convert_custom_dataset.run(FLAGS.dataset_dir, FLAGS.num_validation,
                                   FLAGS.num_shards)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #17

Fichier : download_and_convert_data.py Projet : jiyongma/Inception_v4_slim

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'custom':
        convert_tfrecord.run(FLAGS.dataset_dir,
                             dataset_name=FLAGS.dataset_name)
    else:
        convert_tfrecord.run(FLAGS.dataset_dir,
                             dataset_name=FLAGS.dataset_name)

Exemple #18

Fichier : download_and_convert_data.py Projet : ayushidutta/cnn-image-classification

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'nuswide':
        convert_nuswide.run(FLAGS.dataset_dir, FLAGS.create_label_dict)
    elif FLAGS.dataset_name == 'espgame':
        convert_espgame.run(FLAGS.dataset_dir, FLAGS.create_label_dict)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_dir)

Exemple #19

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'visualwakewords':
        download_and_convert_visualwakewords.run(
            FLAGS.dataset_dir, FLAGS.small_object_area_threshold,
            FLAGS.foreground_class_of_interest, FLAGS.download, FLAGS.coco_dir)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #20

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')
    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    #added by chenww
    elif FLAGS.dataset_name == 'maskCls':
        convert_maskCls.run(FLAGS.dataset_dir, FLAGS.validation_or_train)
    elif FLAGS.dataset_name == 'mura2Cls':
        convert_maskCls.run(FLAGS.dataset_dir, FLAGS.validation_or_train)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_name)

Exemple #21

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'cats_and_dogs':
    convert_cats_and_dogs.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'svhn':
    convert_svhn.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'gtsrb':
    convert_gtsrb.run(FLAGS.dataset_dir)
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_name)

Exemple #22

Fichier : download_and_convert_data.py Projet : stevefoy/Sabanci-PlantClef-Classification

def main(_):
    if not FLAGS.dataset_name:
        raise ValueError(
            'You must supply the dataset name with --dataset_name')
    if not FLAGS.dataset_dir:
        raise ValueError(
            'You must supply the dataset directory with --dataset_dir')

    if FLAGS.dataset_name == 'cifar10':
        download_and_convert_cifar10.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'flowers':
        download_and_convert_flowers.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'mnist':
        download_and_convert_mnist.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'plantVSnoplant':
        download_and_convert_plantVSnoplant.run(FLAGS.dataset_dir)
    elif FLAGS.dataset_name == 'plantclef':
        if FLAGS.dataset == 'training_data_2014':
            download_and_convert_plantclef.run(FLAGS.dataset_dir,
                                               FLAGS.dataset)
        elif FLAGS.dataset == 'training_data_2015':
            download_and_convert_plantclef.run(FLAGS.dataset_dir,
                                               FLAGS.dataset)
        elif FLAGS.dataset == 'test_data_2015':
            download_and_convert_plantclef.run(FLAGS.dataset_dir,
                                               FLAGS.dataset)
        elif FLAGS.dataset == 'whole_data_2015':
            download_and_convert_plantclef.run(Flags.dataset_dir,
                                               Frlags.dataset)
        elif FLAGS.dataset == 'test_data_2016':
            download_and_convert_plantclef_for_test.run(
                FLAGS.dataset_dir, FLAGS.dataset)
        else:
            raise ValueError('dataset [%s] was not recognized.' %
                             FLAGS.dataset)
    else:
        raise ValueError('dataset_name [%s] was not recognized.' %
                         FLAGS.dataset_dir)

Exemple #23

def main(_):
  if not FLAGS.dataset_name:
    raise ValueError('You must supply the dataset name with --dataset_name')
  if not FLAGS.dataset_dir:
    raise ValueError('You must supply the dataset directory with --dataset_dir')

  if FLAGS.dataset_name == 'cifar10':
    download_and_convert_cifar10.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'flowers':
    download_and_convert_flowers.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'mnist':
    download_and_convert_mnist.run(FLAGS.dataset_dir)
  elif FLAGS.dataset_name == 'fxtrade':
    if FLAGS.sig2png:
      download_and_convert_fxtrade.sig2png(FLAGS.signal_path, FLAGS.out_dir, FLAGS.draw)
    else:
      download_and_convert_fxtrade.run(FLAGS.signal_dir, FLAGS.label_dir, FLAGS.label_files,\
        FLAGS.dataset_dir, FLAGS.symbol, FLAGS.periods, FLAGS.draw_signals, \
        image_size = tuple([int(i) for i in FLAGS.image_size.split(",")]), \
        label_offset=FLAGS.label_offset, interpolation=FLAGS.interpolation)
  else:
    raise ValueError(
        'dataset_name [%s] was not recognized.' % FLAGS.dataset_name)

Exemple #24

Fichier : data_generator.py Projet : rfelixmg/Tensorflow-SSD-VGG

def download_convert():
    dataset_dir = flowers_data_dir
    download_and_convert_flowers.run(dataset_dir)
    return

Exemple #25

Fichier : d_and_convert.py Projet : Danny-Dasilva/Object-Classification_Retraining

# limitations under the License.
# ==============================================================================
r"""Downloads and converts a particular dataset.

Usage:
```shell

$ python download_and_convert_data.py \
    --dataset_name=mnist \
    --dataset_dir=/tmp/mnist

$ python download_and_convert_data.py \
    --dataset_name=cifar10 \
    --dataset_dir=/tmp/cifar10

$ python download_and_convert_data.py \
    --dataset_name=flowers \
    --dataset_dir=/tmp/flowers
```
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf
from datasets import download_and_convert_flowers

download_and_convert_flowers.run(
    "/home/tech-garage/Documents/SortAi/Object-Classification_Retraining/slim/transfer_learn/flowers"
)

Exemple #26

Fichier : convert_data.py Projet : yuanyuanzijin/flower-recognition

def main(_):
    download_and_convert_flowers.run('../dataset')