A question about visualize_depth

[AsynFusion]

Hi,

I use the code "python -m torch.distributed.launch --nproc_per_node 4 run.py --model_name test --config configs/nusc.txt --models_to_load depth encoder --load_weights_folder=/log/nusc/model/weights/ --save_pred_disps --eval_out_dir=/log/nusc/eval/ --eval_only"

But there is no picture output. The eval folder in the log directory is empty. So I'd like to ask for advice on how to visualize my evaluation

Thanks,

[anidh]

Hi @TIANTEA, I ran into the same problem and used the following command to visualize the depth and the corresponding RGB images, do remember I had to create a visual_new folder before running this command as referenced here

python -m torch.distributed.launch --nproc_per_node 2 run.py --model_name test --config configs/nusc_scale.txt --models_to_load depth encoder --load_weights_folder=weights/nusc_scale/ --eval_only

[weiyithu]

Do you place the model in 'load_weights_folder'?