Cannot use NMS with edgetpu export

[democat3457]

Search before asking

• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Export

Bug

Trying to export a PyTorch model as an edgetpu tflite model with the NMS flag enabled results in this error when exporting:

Edge TPU: starting export with Edge TPU compiler 16.0.384591198...
Edge TPU Compiler version 16.0.384591198
Started a compilation timeout timer of 180 seconds.
ERROR: Regular TensorFlow ops are not supported by this interpreter. Make sure you apply/link the Flex delegate before inference.
ERROR: Node number 270 (FlexCombinedNonMaxSuppression) failed to prepare.

Compilation failed: Model failed in Tflite interpreter. Please ensure model can be loaded/run in Tflite interpreter.
Compilation child process completed within timeout period.
Compilation failed! 

Edge TPU: export failure: Command '['edgetpu_compiler', '-s', '-o', '/path/to/weights', '/path/to/weights/best-int8.tflite']' returned non-zero exit status 1.

Everything before the Edge TPU export step, including the Tensorflow Lite export, succeeds just fine.

This seems similar to #6799

Environment

• YOLOv5 🚀 v6.1-336-gd7411ad Python-3.8.10 torch-1.11.0+cu102 CPU
• OS: Ubuntu 20.04
• Python 3.8.10

Minimal Reproducible Example

python export.py --include edgetpu --nms

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @democat3457, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@democat3457 as the error says the NMS TF ops are not supported for Edge TPU delegates.

You can export Edge TPU models using the standard arguments and then follow the Usage instructions after export:

Detect:          python detect.py --weights yolov5s-int8.tflite 
Validate:        python val.py --weights yolov5s-int8.tflite 
PyTorch Hub:     model = torch.hub.load('ultralytics/yolov5', 'custom', 'yolov5s-int8.tflite')

[democat3457]

Ah rip, ok.

[mhaghighat]

@democat3457 Did you find a workaround for this?

[democat3457]

@democat3457 Did you find a workaround for this?

No, I just ended up implementing my own NMS using pytorch's.