updated dataset

 import os
 import tensorflow as tf
 
+tf.compat.v1.enable_eager_execution()
+
 all_path = '../data/annotation.txt'
 train_path = '../data/train.txt'
 val_path = '../data/val.txt'

@@ -15,7 +15,7 @@ def readImage(path):
     return byte
 
 def main():
-    ANNOTATION_PATH = 'train.txt' #annotation set (train/val/test) text file
+    ANNOTATION_PATH = '../data/train.txt' #annotation set (train/val/test) text file
     IMAGE_DIRECTORY = 'image_data/' #image directory
     SAVE_PATH = 'train.tfrecord' #save path for tfrecord
 

@@ -11,4 +11,4 @@ so let me know if there are some errors/problems in python code version
 3] fixed saver to save the parameter only when save-optimizer option is true
 4] changed parameter 'mode' to bool value 'is_training' in data util functions (string value 'mode' is passed as byte string, so functions do not evaluate if-clauses as expected. ex) 'train' != b'train')
 5] wrote TFRecord binary iterator, which runs without tf session (references: https://github.com/pgmmpk/tfrecord )
-6] removed logging/tenorboard summary code. (I will add it later if necessary)
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+6] removed logging/tensorboard summary code. (I will add it later if necessary)
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@@ -13,7 +13,7 @@ from data_utils import letterbox_resize
 from model import yolov3
 
 parser = argparse.ArgumentParser(description="YOLO-V3 test single image test procedure.")
-parser.add_argument("input_image", type=str,
+parser.add_argument("--input_image", type=str,
                     help="The path of the input image.")
 parser.add_argument("--anchor_path", type=str, default="../../data/yolo_anchors.txt",
                     help="The path of the anchor txt file.")