nitroxplunge

import tensorflow as tf
import numpy as np
import base64
import csv
import os
from PIL import Image
import io

def int64_feature(value):
  return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))

nitroxplunge

import xml.etree.cElementTree as ET
import os
from PIL import Image
import argparse

parser = argparse.ArgumentParser(description='Convert label files between datatypes.')
parser.add_argument('directory', metavar='d', type=str, nargs='+',
                    help='The directory of the dataset')
parser.add_argument('-r', action='store_true',
                    default=False, help='Replace the existing label files')

nitroxplunge

import tensorflow as tf
from tf_trt_models.detection import download_detection_model, build_detection_graph
import tensorflow.contrib.tensorrt as trt

class Model:
    def __init__(self, trt_graph, input_names):
        self.config = tf.ConfigProto()
        self.config.gpu_options.allow_growth = True

        self.tf_session = tf.Session(config=self.config)

nitroxplunge

import tensorflow as tf
import numpy as np
import base64
import csv
import os
from PIL import Image
import io

def int64_feature(value):
  return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))