Hi! I’m having a bit of a problem when running the tlt training with the example notebook at this step: !tlt detectnet_v2 train -e $SPECS_DIR/detectnet_v2_train_resnet18_kitti.txt -r $USER_EXPERIMENT_DIR/experiment_dir_unpruned -k $KEY -n resnet18_detector –gpus $NUM_GPUS And then after…

[image] i.scanlan1: Conv2DCustomBackpropInputOp only supports NHWC Please search help from TLT forum. Search results for ' Conv2DCustomBackpropInputOp only supports NHWC #intelligent-video-analytics:transfer-learning-toolkit order:latest' - NVIDIA Developer Forums For example, TLT Detectnet …

Yeah I checked that first but unlike that person I am using the KITTI dataset as recommended and I am also working from an AWS EC2 that has a GPU that supports tlt (GPU is a Tesla K80). I am not sure whether i have to change anything in the detectnet_v2_train_resnet18_kitti.txt file as it seems that…

Okay thanks. For the time being would i be able to deploy the standard untrained model onto a Jetson nano without the initial training phase?

Sure, end user can use the deployable models provided in ngc. You can read more info in tlt user guide. Transfer Learning Toolkit — Transfer Learning Toolkit 3.0 documentation

Error with tlt train in official Jupyter notebook TLT 3.0

Accelerated Computing Intelligent Video Analytics TAO Toolkit

Morganh May 6, 2021, 12:47pm 5

See TLT Detectnet TrafficCamNet training not working - #10 by seby1, please Shifting to a beefier GPU.

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TLT3 NHWC error on 940MX, error while training on TLT3

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Error with tlt train in official Jupyter notebook TLT 3.0

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