使用ssd目標檢測，出現error:maximum box coordinate value is larger than 1.100000: ] [1.325]
主要原因在於，用labelImg 標記的目標太小，以及標記工具出現問題
1 deleted all boxes that are less than 1/16 th of the image size and the training works fine.，https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10/blob/master/sizeChecker.py
if x_value < 33 or y_value < 33: 刪除，shutil.move(file, tree + '/wrong_data/')
2.忽視結果
Actually, I just ignore this error, change the ./core/box_list_ops.py
`max_assert = tf.Assert(tf.greater_equal(1.1, box_maximum), ['maximum box coordinate value is larger ' 'than 1.1: ', box_maximum])`
1.01 to 1.1, as my error max value is 1.014.
By this way to make the code keep on. Seems the result is not affected.
參考鏈接：https://github.com/tensorflow/models/issues/1754