Git Product home page Git Product logo

dobb-e's People

Contributors

notmahi avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

dobb-e's Issues

Ask for camera information

Hi, thanks for you great work!

May I ask where are the camera intrinsics and extrinsics? I failed to find them in the dataset.

Thanks!

camera intrinsics

Thanks for your awesome works! I am currently engaged in transforming the depth image into a 3D representation. However, I have not been able to locate the camera intrinsics in your dataset, HoNY. Could you provide them?

Segmentation fault while running train.py

HI, I run the train.py following the imitation-in-homes README

I download all the datasets and change the path in env_vars.yaml. Other than that, all configurations are default.
but when I run the command
python train.py --config-name=finetune

The logs show:

[2024-02-06 15:48:42,360][main][INFO] - Working in ./dobb-e/imitation-in-homes
[2024-02-06 15:48:43,065][main][INFO] - Setting up dataloaders.
Filtering trajectories: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 81/81 [00:00<00:00, 132814.16it/s]
./dobb-e/imitation-in-homes/dataloaders/utils.py:283: UserWarning: No trajectories were found matching the specified criteria. Make sure you have the correct dataset root and trajectory roots, and the correct include/exclude criteria.
warnings.warn(
Filtering trajectories: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 81/81 [00:00<00:00, 155700.56it/s]
[2024-02-06 15:48:43,941][timm.models._builder][INFO] - Loading pretrained weights from Hugging Face hub (notmahi/dobb-e)
[2024-02-06 15:48:44,306][timm.models._hub][INFO] - [notmahi/dobb-e] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors.
Using static action normalization
act_mean: tensor([ 7.2950e-05, 5.2102e-03, 9.5942e-04, -1.9970e-04, -1.5271e-03,
3.3574e-04, 0.0000e+00])
act_std: tensor([0.0144, 0.0221, 0.0110, 0.0158, 0.0465, 0.0253, 1.0000])
Fatal Python error: Segmentation fault

I use faulthandler and find that the error occurred in
self.model = self.model.to(self.device)

'NoneType' object is not iterable during finetune training

Hi team,
Thank you so much for open sourcing such an amazing project! I thought this would be my perfect opportunity to learn about behavioral cloning of robots.
However, during the learning process, I encountered an error message of unknown reason. I tried to change the order of imports as mentioned in issue 4(#4). This worked, but a new error was prompted.

My error message is as follows, could you please check it for me:


$ python train.py --config-name=finetune
/home/me/dobbe/dobb-e/imitation-in-homes
checkpoints/2024-03-20/Drawer_Opening-Env1-moco-18-46-33
[2024-03-20 18:46:33,636][main][INFO] - Working in /home/me/dobbe/dobb-e/imitation-in-homes
[2024-03-20 18:46:34,283][main][INFO] - Setting up dataloaders.
Filtering trajectories: 100%|███████████████| 81/81 [00:00<00:00, 159426.85it/s]
/home/me/dobbe/dobb-e/imitation-in-homes/dataloaders/utils.py:283: UserWarning: No trajectories were found matching the specified criteria. Make sure you have the correct dataset root and trajectory roots, and the correct include/exclude criteria.
warnings.warn(
Filtering trajectories: 100%|███████████████| 81/81 [00:00<00:00, 172106.70it/s]
[2024-03-20 18:46:35,192][timm.models._builder][INFO] - Loading pretrained weights from Hugging Face hub (notmahi/dobb-e)
[2024-03-20 18:46:35,481][timm.models._hub][INFO] - [notmahi/dobb-e] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors.
Using static action normalization
act_mean: tensor([ 7.2950e-05, 5.2102e-03, 9.5942e-04, -1.9970e-04, -1.5271e-03,
3.3574e-04, 0.0000e+00])
act_std: tensor([0.0144, 0.0221, 0.0110, 0.0158, 0.0465, 0.0253, 1.0000])
0it [00:00, ?it/s] | 0/50 [00:00<?, ?it/s]
Epoch 1: 0%| | 0/50 [00:00<?, ?it/s]
Error executing job with overrides: []
Traceback (most recent call last):
File "/home/me/dobbe/dobb-e/imitation-in-homes/train.py", line 414, in main
workspace.run()
File "/home/me/dobbe/dobb-e/imitation-in-homes/train.py", line 194, in run
self._train_epoch()
File "/home/me/dobbe/dobb-e/imitation-in-homes/train.py", line 223, in _train_epoch
self._train_step(batch, overall_loss_dict, iterator)
File "/home/me/dobbe/dobb-e/imitation-in-homes/train.py", line 240, in _train_step
batch_in_device = self.to_device(batch)
File "/home/me/dobbe/dobb-e/imitation-in-homes/train.py", line 204, in to_device
manyTensors = [
TypeError: 'NoneType' object is not iterable


Besides,My env_var.yaml settings are as follows, are there any mistakes?(I did not modify the content in finetune.yaml)


home_ssl_data_root: /home/me/dobbe/dobb-e/imitation-in-homes/iphone_data # root to home ssl data folder
finetune_task_data_root: /home/me/dobbe/dobb-e/imitation-in-homes/finetune_directory # root to the exported finetuning data folder

home_ssl_data_original_root: /home/me/dobbe/dobb-e/imitation-in-homes/iphone_data # path included in the r3d_files.txt file of dataset
finetune_task_data_original_root: /home/me/dobbe/dobb-e/imitation-in-homes/finetune_directory # path included in r3d_files.txt of dataset (may be the same as finetune_task_data_root if data has not been moved nor transferred across machines)
project_root: /home/me/dobbe/dobb-e/imitation-in-homes # path to this repo

wandb:
entity: null # wandb username


Below is my file path
image

I would be very grateful if you could help me.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.