facebookresearch / facebookresearch/DistDepth

nan and inf

Open
#31 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
236
Forks
19
PR merge metrics
No merged PRs in 30d

Description

Hello, I would like to ask if during the training process, there are prompts for the presence of nan and inf in the input, and the relative depth of each pixel in the output of the model after training is basically the same. Here are my training commands.

python execute.py --exe train --model_name distdepth-distilled --frame_ids 0 -1 1 --log_dir='./tmp/model_from_server_34_256_10_frame_seq' --data_path SimSIN-simple --dataset SimSIN --batch_size 16 --width 256 --height 256 --max_depth 10.0 --num_epochs 500 --scheduler_step_size 200 --learning_rate 0.0001 --thre 0.95 --num_layers 34 --log_frequency 100 --use_stereo --load_weights_folder weights --save_frequency 20

output of model as bellow:
![Screenshot from 2024-03-15 09-09-04](https://github.com/facebookresearch/DistDepth/assets/37341056/97ee2906-9bc1-47f3-aeed-cfb8d7d35de9)

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.