Sovit Ranjan Rath

Hello. After adding the function, please update the `create_model` dictionary in the `create_fasterrcnn_model.py` file. Add the following key-value pair. `'fasterrcnn_efficientnet_b4': return_fasterrcnn_efficientnet_b4` I hope that you have written the `return_fasterrcnn_efficientnet_b4` function...

Hi. Validation loss is not included as of now as the loss is directly returned by the model. And the Torchvision detection models do no include the calculation of validation...

@ericspod Hello Eric. I am a deep learning engineer with experience in semantic segmentation, object detection, image classification - and currently working with LLMs and generative AI at a healthcare...

I guess all the issues arise from the OpenMM Lab (MMCV and MMseg) dependencies. I appreciate the effort that the authors have put into this work. But frankly, I have...

I found a solution that seems to work. I initially had CUDA 12.4 installed globally on my system. This project requires CUDA 11.7, however, I was unwilling the uninstall the...

@Multihuntr I was actually referring to the full installation which requires MMSegmentation for segmentation and depth estimation purposes. I was able to fix that with CUDA 11.7 installation. However, I...

Hello @ZhengPeng7. Thanks for the update.

No, I have not implemented it yet into these models. Will need to research how to do with Faster RCNN pretrained models.