Mastering Computer Vision with TensorFlow 2.x

Preprocessing before being input into the Keras–Python code

The VGG annotator tool generates an output CSV file that needs to be preprocessed in a format that is acceptable by our TensorFlow code. The output of the annotation is a CSV file that shows each key-point in a row format, with 16 rows per image; we need to preprocess this file so that we have one row per image. There are 33 columns indicating 32 key point values and 1 image value, shown as follows:

(x0,y0), (x1,y1), (x2, y2), ….,(x15,y15), image file name

You can use a custom Python program to convert this, although it is not shown here. The GitHub page includes the processed CSV file for your reference at https://github.com/PacktPublishing/Mastering-Computer-Vision-with-TensorFlow-2.0/blob/master/Chapter03/testimgface.csv ...