Jonathan Tremblay
Jonathan Tremblay
[Transform_video2dope.csv](https://github.com/NVlabs/Deep_Object_Pose/files/8329243/Transform_video2dope.csv) I think this is what you need.
You could use DOPE with images. Did you try the folder no_ros_inference?
https://github.com/NVlabs/Deep_Object_Pose/tree/master/scripts/train2 Sorry it was as the internal name. Check this part. On Mon, Mar 6, 2023 at 15:39 Yukizyh ***@***.***> wrote: > Hi, But I didn't find the no_ros_inference folder....
I will refer you on how to install nvisii, you need an NVIDIA GPU with up to date drivers.
nvisii.com
I am so sorry, I do not have access to the data anymore. We were not really precise with our data back then. On Thu, Apr 6, 2023 at 9:55 ...
Part of the dataset is available online it is the FAT dataset. From what I remember it was 60k from FAT (selected randomly) and 60k from domain randomization all rendered...
nvisii data generation was not designed for compatibility with nvdu. I think there is an other issue describing how to generate the missing data. Sorry.
What do you mean? There is an example json file you can look into if you want to know more. https://github.com/NVlabs/Deep_Object_Pose/blob/master/scripts/nvisii_data_gen/output/output_example/00000.json The training script needs similar data to this.
1. Nvisii right now is the most complete tool you should use, check the script for generating training data. 2. train2 has an output in the tensorboard, you need to...