samarth-robo / contactdb_prediction Goto Github PK
View Code? Open in Web Editor NEWCode for CVPR 2019 paper "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging"
License: GNU General Public License v3.0
Code for CVPR 2019 paper "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging"
License: GNU General Public License v3.0
Hi, I try to train the model by using the bash as follow:
python train_val.py
--data_dir /scratch/grasp_data/meshes_data
--instruction handoff
--checkpoint_dir checkpoints
--config_file configs/pointnet.ini
--device_id 0,1,2,3
While I meet the error about the connection resufed, I have no idea. Did I miss something? I have no idea, could you help me?
The error report is shown:
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=8097): Max retries exceeded with url: /env/main (Caused by NewConnectionError('<u
rllib3.connection.HTTPConnection object at 0x7f574e887fd0>: Failed to establish a new connection: [Errno 111] Connection refused',))
Hello!
I think your work is very interesting. The paper is well written too!
However, the paper does not have details regarding the CPU, GPU and memory requirements for training the models.
Could you expand on that briefly or point me to the details if I missed it by any chance?
(Judging by the size of the batch and code, do you use a Titan X? How much memory does the batch exactly consume?)
Thank in advance. :)
as title
Hi,
thanks for your interesting work. I have a question about how to get the preprocessed data, as you provided in the link, Is there any kinds of scripts for doing this ? Especially about how to transform an arbitrary mesh model to the voxel input ? thanks.
Thank you for publishing your fantastic work!
I have a question about the dataset, from the code, I know that there are 7 dimensions of data in a specific .npz file, and the last 4 dimensions are the texture (color of the points?), x-coordinate, y-coordinate, and z-coordinate of the point cloud. I was wondering what are the first 3 dimensions. And how did you obtain the values of the textures?
Thank you again.
Hi,
Thanks for your interesting work.
When I tried to run:
python eval.py --instruction use --config configs/voxnet.ini --checkpoint data/checkpoints/use_voxnet_diversenet_release/checkpoint_model_86_val_loss=0.01107167.pth --show_object mug
I got one error message. Please check the image below.
I have installed all the virtual environment in the environment.yml. I am running in Windows 8.1 with conda 4.8.3.
Also, attaching all the libraries in the txt file below.
tmp.txt
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