ZeroDivisionError when training peoplenet

[Morganh]

Your val images is only 8. It is smaller than num_shards.
Please add more val images or set smaller num_shards.

Please refer to below.

Training detectnet_v2 Issue

I already change the config file to random_seed: 42 dataset_config { data_sources { tfrecords_path: "/workspace/file/tlt/pc/experiment/tfrecords/kitti_trainval/*" image_directory_path: "/workspace/file/Python/annotate_kitti" } image_extension: "jpg" target_class_mapping { key: "person" value: "person" } validation_fold: 0 } augmentation_config { preprocessing { output_image_width: 1248 output_image_height: 384 min_bbox_width: 1.0 min_bbox_height: 1.…

val_images is (val_split)% of total images.train_images is (100-val_split)% of total images.

Please make sure below at the same time.

1. val_images >= num_shards
2. train_images >= num_shards