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Tao model gazenet dataset_convert failed(toolkit_version: 5.2.0.1)

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• Hardware (RTX3090)
• Network Type (GazeNet)
• TAO Version

(launcher) root@ubuntu:/home/ubuntu/TAO/getting_started_v5.1.0/notebooks/tao_launcher_starter_kit/gazenet# tao info --verbose
Configuration of the TAO Toolkit Instance

task_group:         
    model:             
        dockers:                 
            nvidia/tao/tao-toolkit:                     
                5.0.0-tf2.11.0:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. classification_tf2
                        2. efficientdet_tf2
                5.0.0-tf1.15.5:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. bpnet
                        2. classification_tf1
                        3. converter
                        4. detectnet_v2
                        5. dssd
                        6. efficientdet_tf1
                        7. faster_rcnn
                        8. fpenet
                        9. lprnet
                        10. mask_rcnn
                        11. multitask_classification
                        12. retinanet
                        13. ssd
                        14. unet
                        15. yolo_v3
                        16. yolo_v4
                        17. yolo_v4_tiny
                5.2.0-pyt2.1.0:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. action_recognition
                        2. centerpose
                        3. deformable_detr
                        4. dino
                        5. mal
                        6. ml_recog
                        7. ocdnet
                        8. ocrnet
                        9. optical_inspection
                        10. pointpillars
                        11. pose_classification
                        12. re_identification
                        13. visual_changenet
                5.2.0.1-pyt1.14.0:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. classification_pyt
                        2. segformer
    dataset:             
        dockers:                 
            nvidia/tao/tao-toolkit:                     
                5.2.0-data-services:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. augmentation
                        2. auto_label
                        3. annotations
                        4. analytics
    deploy:             
        dockers:                 
            nvidia/tao/tao-toolkit:                     
                5.2.0-deploy:                         
                    docker_registry: nvcr.io
                    tasks: 
                        1. visual_changenet
                        2. centerpose
                        3. classification_pyt
                        4. classification_tf1
                        5. classification_tf2
                        6. deformable_detr
                        7. detectnet_v2
                        8. dino
                        9. dssd
                        10. efficientdet_tf1
                        11. efficientdet_tf2
                        12. faster_rcnn
                        13. lprnet
                        14. mask_rcnn
                        15. ml_recog
                        16. multitask_classification
                        17. ocdnet
                        18. ocrnet
                        19. optical_inspection
                        20. retinanet
                        21. segformer
                        22. ssd
                        23. trtexec
                        24. unet
                        25. yolo_v3
                        26. yolo_v4
                        27. yolo_v4_tiny
format_version: 3.0
toolkit_version: 5.2.0.1
published_date: 01/16/2024

• Training spec file(If have, please share here)
• How to reproduce the issue ?
I just create the tfrecords using the dataset_convert command:

!tao model gazenet dataset_convert -folder-suffix pipeline \
                             -norm_folder_name Norm_Data \
                             -sets p01-day03 \
                             -data_root_path $DATA_DOWNLOAD_DIR/MPIIFaceGaze/sample-dataset

Is model gazenet supported by TAO 5.2.0 ?

2 posts - 2 participants

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