Slow inference on static images

[fransay]

I am looking at a way, we could use your implementation on live object detection. But looks like inference on static images alone are quite slow. Will be learning more about your design and algorithm and see we can improve it.

Great job the way :+1:

[JobiJoba]

I would be interested by doing that too but I'm a bit afraid of the slowness of the static image right now.

[ferraridamiano]

Yeah, it is true, the current implementation takes really too much time. And I'm not even sure which could be the issue. It could be:

• YOLO (e.g. the model is not well optimized to run on tflite)
• The tflite flutter library (maybe not yet very optimized)
• The app (maybe I did not enabled some option that unlocks more performance)

While the NMS algorithm could be easily speeded up, and maybe I will do it in the near future. But at the moment it takes only a fraction of time of the inference time

Feel free to open PRs that fix this problem

[ferraridamiano]

Seems like a flutter_tflite issue: https://github.com/tensorflow/flutter-tflite/issues/112

[ctycode]

似乎是 flutter_tflite 的问题：tensorflow/flutter-tflite#112

https://github.com/tensorflow/flutter-tflite/issues/112#issuecomment-2769850318

[ferraridamiano]

Fixed by 35d8a10b0bd84a56844a5534c28bcb750a5fb16a