Comments (7)
Hi @xEnVrE
thank you for your interest. I was using an anaconda environment for managing python packages, if you want I can send you the environment, which is very big though (several GB). Or you can run the python file and install what's missing. I'm glad to help if you encounter any issue for setup.
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Thank you for the answer. I'll be back in case of any issue during the setup.
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Hi @xEnVrE
thank you for your interest. I was using an anaconda environment for managing python packages, if you want I can send you the environment, which is very big though (several GB). Or you can run the python file and install what's missing. I'm glad to help if you encounter any issue for setup.
Hi author,
Would you like to share the yaml file of your environment so that users could install the required packages? You could get the yaml file by running "conda env export > environment.yml" after you activated your env.
Thanks.
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Hey @wenbowen123 amazing work!
I am trying to implement the code provided. It would be really great if you could provide the setup details as well as requirement details.
Thank you!
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@xEnVrE @greendddd @rammyaiyer05
Added the environment file. Please check the latest readme.
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@xEnVrE @greendddd @rammyaiyer05
Added the environment file. Please check the latest readme.
the environment.yml is failing
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@gchal Thanks for reporting this. There seems to be some bug from anaconda. I will try to see if there is any better way to do this. Before that, you can try to install what's missing. The project should be compatible with most versions, and needs common libraries (opencv, pytorch, etc). The versions are listed in environment.yml.
Sorry for the inconvenience.
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Related Issues (20)
- Array size mismatch when running `predict_ros.py` HOT 3
- Performance on textureless objects HOT 3
- docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]]. ERRO[0000] error waiting for container: HOT 2
- problem in getting inference on novel objects using python predict_ros.py inside docker HOT 3
- clarification regarding synthetic data generation HOT 1
- error in running python blender_main.py -- Color management: image colorspace "sRGB OETF" not found, will use default instead. HOT 2
- Failed to initialize Pyglet window with an OpenGL >= 3+ context. HOT 7
- Dockerfile HOT 1
- ValueError: could not broadcast input array from shape (226,501,3) into shape (226,0,3) HOT 2
- Data Download links seem broken? HOT 1
- Problem generating train pair data HOT 1
- Lie Algebra ordering possibly incorrect
- texture_folders HOT 1
- IndexError: list index out of range HOT 6
- predict_ros.py error finding model path HOT 3
- RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 7
- Blender script not working with newer Blender versions HOT 4
- building the dockerfile didn't work HOT 4
- File "/home/posetrack/blender_dataset_generator.py", line 303, in generate assert len(texture_files)>0 AssertionError HOT 1
- RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. HOT 6
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