I have some mrcnn models trianed with the well known repo: GitHub - matterport/Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow and I wanted to deploy it in a Jetson device with deepstream.
I have found here IndexError: list index out of range(Object Detection And Instance Segmentations With A TensorFlow Ma… - Jetson & Embedded Systems / Jetson AGX Xavier - NVIDIA Developer Forums that some time ago we had to convert it to .uff but now this seems deprecated.
I have been able to run succesfully a .etlt maskrcnn model with deepstream. So the questions are:
- Should I transform my .h5 model file to .etlt? If so, how?
- Is now .etlt files the unique way to run mrcnn models with deepstream?
- Should I convert my .h5 to -uff despite its deprecation?