After completing these steps, the file arrangement part is complete and we will now work on optimizing the parameters in the YOLO configuration file. To do that, open YOLO-VOC.cfg under the Darknet cfg directory and make the following changes. The resulting code can also be downloaded from https://github.com/PacktPublishing/Mastering-Computer-Vision-with-TensorFlow-2.0/blob/master/Chapter07/yolov3-furniture.cfg:
Note that in the following section, we will be describing various line numbers and values to change – these line numbers correspond to the YOLO-VOC.cfg file.
- Line 6—the batch size. Set this to 64. This means 64 images will be used in every training step to update the CNN parameters.
- Line 7—
