def main(_):
writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
# load groundtruth file
groundtruth_file = os.path.join(FLAGS.data_dir, 'labels.txt')
with open(groundtruth_file, 'r') as f:
groundtruth_lines = f.readlines()
num_images = len(groundtruth_lines) - FLAGS.start_index
if FLAGS.num_images > 0:
num_images = min(num_images, FLAGS.num_images)
indices = list(range(FLAGS.start_index, FLAGS.start_index + num_images))
if FLAGS.shuffle:
random.shuffle(indices)
# a test decode pipeline for validating image
image_jpeg_input = tf.placeholder(
dtype=tf.string,
shape=[]
)
image = tf.image.decode_jpeg(
image_jpeg_input,
channels=3,
try_recover_truncated=False,
acceptable_fraction=1
)
with tf.Session() as sess:
for index in tqdm(indices):
image_rel_path = groundtruth_lines[index].split(' ')[0]
image_path = os.path.join(FLAGS.data_dir, image_rel_path)
# validate image
valid = True
image_jpeg = None
try:
with open(image_path, 'rb') as f:
image_jpeg = f.read()
image_output = sess.run(image, feed_dict={
image_jpeg_input: image_jpeg
})
if (image_output.ndim != 3 or
image_output.shape[0] == 0 or
image_output.shape[1] == 0 or
image_output.shape[2] != 3):
valid = False
except:
valid = False
if not valid:
logging.warn('Skip invalid image {}'.format(image_rel_path))
continue
# extract groundtruth
groundtruth_text = image_rel_path.split('_')[1]
# write example
example = tf.train.Example(features=tf.train.Features(feature={
fields.TfExampleFields.image_encoded: \
dataset_util.bytes_feature(image_jpeg),
fields.TfExampleFields.image_format: \
dataset_util.bytes_feature('jpeg'.encode('utf-8')),
fields.TfExampleFields.filename: \
dataset_util.bytes_feature(image_rel_path.encode('utf-8')),
fields.TfExampleFields.channels: \
dataset_util.int64_feature(3),
fields.TfExampleFields.colorspace: \
dataset_util.bytes_feature('rgb'.encode('utf-8')),
fields.TfExampleFields.transcript: \
dataset_util.bytes_feature(groundtruth_text.encode('utf-8'))
}))
writer.write(example.SerializeToString())
writer.close()打印结果：
打印输出是把所有的图片全部跳过了，标签的格式是这样的：./1/1/1_stoled oversend.jpg
求大佬指点！!!