Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc) A6000
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
Hi, i am trying to train the vehiclemakenet and vehicletypenet using TAO toolkit. May i know among TAO models, which should i use so that the network architecture and network type is exactly same as in the NGC catalog :
{action_recognition,centerpose,visual_changenet,deformable_detr,dino,grounding_dino,mask_grounding_dino,mask2former,mal,ml_recog,ocdnet,ocrnet,optical_inspection,pointpillars,pose_classification,re_identification,classification_pyt,segformer,bevfusion,bpnet,classification_tf1,converter,detectnet_v2,dssd,efficientdet_tf1,faster_rcnn,fpenet,lprnet,mask_rcnn,multitask_classification,retinanet,ssd,unet,yolo_v3,yolo_v4,yolo_v4_tiny,classification_tf2,efficientdet_tf2}
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