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Scope TF imports in DetectMultiBackend()
#5792
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As per bug report ultralytics#5709 I think there should be only one attempt to assign interpreter, and it appears tflite is only ever needed for the case of edgetpu model.
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👋 Hello @phodgers, thank you for submitting a 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:
- ✅ Verify your PR is up-to-date with upstream/master. If your PR is behind upstream/master an automatic GitHub actions rebase may be attempted by including the /rebase command in a comment body, or by running the following code, replacing 'feature' with the name of your local branch:
git remote add upstream https://github.com/ultralytics/yolov5.git
git fetch upstream
git checkout feature # <----- replace 'feature' with local branch name
git merge upstream/master
git push -u origin -f
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glenn-jocher
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tensorflow or tflite exclusively as interpreter
Scope TF imports in Nov 25, 2021
DetectMultiBackend()
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@phodgers PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐ |
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BjarneKuehl
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Aug 26, 2022
* tensorflow or tflite exclusively as interpreter As per bug report ultralytics#5709 I think there should be only one attempt to assign interpreter, and it appears tflite is only ever needed for the case of edgetpu model. * Scope imports * Nested definition line fix * Update common.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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As per bug report #5709 I think there should be only one attempt to assign interpreter, and it appears tflite is only ever needed for the case of edgetpu model.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Enhanced TensorFlow model loading in YOLOv5 with dynamic imports.
📊 Key Changes
.pb
,saved_model
,tflite
)..pb
models.🎯 Purpose & Impact