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Nice work! But I got some problems when reproducing. This is my config:
--data_path ../raw_data/
--log_dir ./logdir/
--model_name res_640x192
--eval_split eigen
--backbone resnet_lite
--height 192
--width 640
--batch_size 16
--num_epochs 25
--scheduler_step_size 15
--num_layers 50
--num_features 256
--model_dim 32
--patch_size 16
--dim_out 64
--query_nums 64
--eval_mono
--post_process
--load_pretrained_model
--load_pt_folder ./pretrained/
--pretrained_pose
--pose_net_path ./pretrained/
I downloaded pretrained models (depth.pth, encoder.pth and pose.pth) in the "pretrained" folder and I used jpeg images. But I got some bad results like these. Could you help me...
The text was updated successfully, but these errors were encountered:
It seems that you did not normalize the depth map, which means you saved the raw depth values.
For visualization, you should normalize the depth map to [0, 1] and then save it as an image.
It seems that you did not normalize the depth map, which means you saved the raw depth values. For visualization, you should normalize the depth map to [0, 1] and then save it as an image.
Nice work! But I got some problems when reproducing. This is my config:
--data_path ../raw_data/
--log_dir ./logdir/
--model_name res_640x192
--eval_split eigen
--backbone resnet_lite
--height 192
--width 640
--batch_size 16
--num_epochs 25
--scheduler_step_size 15
--num_layers 50
--num_features 256
--model_dim 32
--patch_size 16
--dim_out 64
--query_nums 64
--eval_mono
--post_process
--load_pretrained_model
--load_pt_folder ./pretrained/
--pretrained_pose
--pose_net_path ./pretrained/
I downloaded pretrained models (depth.pth, encoder.pth and pose.pth) in the "pretrained" folder and I used jpeg images. But I got some bad results like these. Could you help me...
The text was updated successfully, but these errors were encountered: