You can either set your configurations in the waldo_config.py file or use the default. Then use the following commands for training and predicting.
This will download the Mask-RCNN model trained on coco dataset to the MODEL_DIR folder and trains a model with the data in the DATA_DIR folder.
Shows a popup with the waldo detected in the image.
python predict.py [MODEL PATH] [PATH TO IMAGE] # for example python predict.py models/logs/waldo20180612T1628/mask_rcnn_waldo_0030.h5 data/val/5.jpg