tensorflow / tensorflow/models
How to run interleaved LSTM object detection on edgeTPU
Open
@srjoglekar246 is already working on this.
Since Oct 11, 2021.
models:research:odapi
type:support
- Dominant language
- Python
- Stars
- 77.7k
- Forks
- 44.8k
- PR merge metrics
- No merged PRs in 30d
Description
Hi there,
I'm trying to inference the interleaved mobilenet v2 model on an edge-tpu with tflite. After freezing the graph I noticed that the graph contained both the small and large SSD model. I assume that this would mean that during inference both models would run.
In the paper "Looking Fast and Slow: Memory-Guided Mobile Video Object Detection" they would run either f_0 or f_1 to get new states or SSD outputs. Could I get some pointers on how to export the two models to run independently?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.