Setting multiple directories for training and validation in yolo_v4_train_resnet18.txt

Accelerated Computing Intelligent Video Analytics TAO Toolkit
1

Hi I tarin with TAO yolov4
have 3 directories for training and 3 for validation (all set in the docker via .tao_mounts.json)
Now I have noticed that if I set them in the yolo_v4_train_resnet18.txt in the following way I get an error regarding the validation folders only:

dataset_config { data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset1/training/label_2" image_directory_path: "/workspace/tao-experiments/data/dataset1/training/image_2" } data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset2/training/label_2" image_directory_path: "/workspace/tao-experiments/data/dataset2/training/image_2" } data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset3/training/label_2" image_directory_path: "/workspace/tao-experiments/data/dataset3/training/image_2" } include_difficult_in_training: true image_extension: "png" target_class_mapping { key: "fff" value: "fff" } target_class_mapping { key: "eee" value: "eee" } target_class_mapping { key: "ddd" value: "ddd" } target_class_mapping { key: "ccc" value: "ccc" } target_class_mapping { key: "bbb" value: "bbb" } target_class_mapping { key: "aaa" value: "aaa" } validation_data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset1/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset1/val/image" } validation_data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset2/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset2/val/image" } validation_data_sources: { label_directory_path: "/workspace/tao-experiments/data/dataset3/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset3/val/image" }

The only thing helped was to change the validation part like this:

validation_data_sources: [ { label_directory_path: "/workspace/tao-experiments/data/dataset1/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset1/val/image" }, { label_directory_path: "/workspace/tao-experiments/data/dataset2/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset2/val/image" }, { label_directory_path: "/workspace/tao-experiments/data/dataset3/val/label" image_directory_path: "/workspace/tao-experiments/data/dataset3/val/image" } ]
  1. why this happens?
    2)is it ok to format also the training part in the same way as validation for more consistency?
3

Please refer to YOLOv4

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4

Hi please answer more speciffaclly to what I am asking.

5

Can you share the error log when you set as above? According to the user guide, seems that it is correct.

6

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

Hi,
I can run with below format.

 validation_data_sources: { image_directory_path: "/workspace/tlt-experiments/data/kitti_dataset/val/image" label_directory_path: "/workspace/tlt-experiments/data/kitti_dataset/val/label" } validation_data_sources: { image_directory_path: "/workspace/tlt-experiments/data/kitti_dataset/training/image_2" label_directory_path: "/workspace/tlt-experiments/data/kitti_dataset/training/label_2" }
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