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Hello, I'm having an issue with training on my custom dataset. It seems that the network is finding the images just fine, and this is reflected in the translation errors....

I'm having a problem with training on my custom dataset. I use the weight pretrained file efficientdet-d2.h5 It seems that the translation error has been improved very well. However, the...

I am getting NAN loss, using your own processed data, conda env, and command. Is there a fix to it? ``` (EfficientPose) mona@mona-ThinkStation-P7:~/EfficientPose$ python train.py --phi 0 --weights weights/Weights/Linemod/object_8/phi_0_linemod_best_ADD.h5 linemod...

Dear @ybkscht , I've generated some data in unity with the flip Y to make it equal to openCV. However, my rotations and translation when projected into the image does...

Hi, Thanks for this wonderful repo. While training the model with this command 'python3 train.py --phi 0 --weights /home/priyalakshmip/pose_est_efficientpose/EfficientPose/COCO/efficientdet-d0.h5 linemod /home/priyalakshmip/pose_est_efficientpose/Linemod_preprocessed/ --object-id 4' I am receiving nan in loss and...

I currently have linemod working well detecting one of my custom objects. Thank you! I now would like to extend this to support multiple objects of the same type using...

Hello, Thanks for providing the implementation to your work. Motivated by your results, I started training on my custom collected dataset and also visualized the dataset using 'debug.py' script provided...

Hey, can you please provide a way and the python scripts that will be used in training the model on a custom dataset?

Hi, thank you your model I have followed all the steps accordingly as you mentioned in the readme file while inferencing that ![ValueError](https://github.com/ybkscht/EfficientPose/assets/142418088/ad69ecf8-658c-42e8-86d5-12c85662dcd6) the system is throwing the above-mentioned error....

I have an x64 M1 Mac. Conda does not support python 3.7 so i had to use 3.9. While trying to run install -r requirements.txt, i run into the following...