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2A Segment TensorRT `batch=3` fix by DieterTimmers · Pull Request #7952 · ultralytics/ultralytics · GitHub
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Segment TensorRT batch=3 fix #7952

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@DieterTimmers DieterTimmers commented Feb 1, 2024

When a pt model is exported to an engine with a fixed batchsize of 3 will this fail. Since len(np.array((3, 3, width, height))) is also true, so the code will continue like it is a pt model

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Improved type-checking for model output handling in segmentation prediction.

📊 Key Changes

  • Changed the condition to check whether preds[1] is a tuple instead of checking its length.

🎯 Purpose & Impact

  • 🎯 Purpose: To ensure robustness in the code when distinguishing between PyTorch model outputs and exported model formats in post-processing.
  • 💡 Impact: Users can expect more reliable behavior when using different types of models, leading to a smoother experience during image segmentation tasks.

When a pt model is exported to an engine with a fixed batchsize of 3 will this fail. Since len(np.array((3, 3, width, height))) is also true, so the code will continue like it is a pt model
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👋 Hello @DieterTimmers, thank you for submitting an Ultralytics YOLOv8 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

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Fixed the typo
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@DieterTimmers thanks for the fix! Can you please write in a new comment:

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@glenn-jocher glenn-jocher changed the title Update predict.py for segment Segment TensorRT batch=3 fix Feb 1, 2024
@glenn-jocher glenn-jocher merged commit 66b32bb into ultralytics:main Feb 1, 2024
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DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* `RTDETRDetectionModel` TorchScript, ONNX Predict and Val support (ultralytics#8818)

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* New `MLFLOW_KEEP_RUN_ACTIVE` flag for enhanced MLflow run management (ultralytics#8808)

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* `ultralytics 8.1.26` `LoadImagesAndVideos` batched inference (ultralytics#8817)

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* Update `fraction` arg to employ a random selection (ultralytics#8234)

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* Batch inference fixes (ultralytics#8854)

* Integrate OpenVINO `CUMULATIVE_THROUGHPUT` mode batched inference (ultralytics#8834)

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* Add PaddlePaddle Docs Integrations Page (ultralytics#8858)

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* `ultralytics 8.1.27` batched tracking fixes (ultralytics#8842)

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* Faster batch `same_shapes` (ultralytics#8851)

* More robust PNNX downloads (ultralytics#8866)

* Fix `test_mlflow_keep_run_active()` (ultralytics#8868)

* Add polygon regions drawing support in `object-counting.md` and minor docs update (ultralytics#8885)

* Add TFLite Edge TPU Docs Integrations Page  (ultralytics#8900)

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* Update Docs README (ultralytics#8919)

* Fix `names` bug when exporting YOLOv8-World to ONNX (ultralytics#8941)

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* New test for labels and crops (ultralytics#8861)

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* Optimize TFJS export on ARM64 (ultralytics#8946)

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* Auto-format by https://ultralytics.com/actions

* `ultralytics 8.1.28` avoid * ops on bool Tensors for RT-DETR OpenVINO export (ultralytics#8937)

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* Add https://youtu.be/YDXKa1EljmU and https://youtu.be/5BO0Il_YYAg to Docs (ultralytics#8958)

* `ultralytics 8.1.29` improved disk space checking on correct path (ultralytics#8977)

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* Add OpenVINO Latency vs Throughput modes Docs page (ultralytics#9001)

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* Add `brain-tumor` dataset docs page (ultralytics#9041)

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* Fix Neural Magic links (ultralytics#9144)

* Updating a typo on paddlepaddle.md (ultralytics#9108)

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* `ultralytics 8.1.30` add advanced HUB train arguments (ultralytics#9110)

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* fix yolo classify model loading error (ultralytics#9196)

* Add TF GraphDef Docs Integrations Page (ultralytics#9203)

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* `ultralytics 8.1.31` NCNN and CLIP updates (ultralytics#9235)

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* Fix TypeError in check_cfg() (ultralytics#9245)

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* Add https://youtu.be/aeAX6vWpfR0 to docs & `african-wildlife` dataset docs page (ultralytics#9102)

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* Add TF SavedModel Docs Integrations Page (ultralytics#9162)

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* Limit `ray<2.9.3` due to bug in `ray==2.10.0` (ultralytics#9254)

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* `ultralytics 8.1.32` fix CLIP backwards compatibility (ultralytics#9253)

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* Conda cv2 ImportError libEGL.so.1 fix (ultralytics#9255)

* Fix `IS_PYTHON_3_12` bug (ultralytics#9258)

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* Reverse IoU threshold for NMS docs descriptions (ultralytics#9151)

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* Add `bgr` hyperparameter (ultralytics#9139)

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* Update pyproject.toml `[tool.pytest.ini_options]` (ultralytics#9259)

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* Fix OpenVINO missing batch-size bug (ultralytics#9264)

* `ultralytics 8.1.33` fix HUB model checks (ultralytics#9153)

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* Update Discord and Contributing Guide URLs (ultralytics#9270)

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* Add https://youtu.be/uDrn9QZJ2lk and `object_counting.py`, `ai_gym.py` updates (ultralytics#9265)

* `ultralytics 8.1.34` Inference API robust imgsz checks (ultralytics#9274)

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* Bump contributor-assistant/github-action from 2.3.1 to 2.3.2 in /.github/workflows (ultralytics#9279)

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* Add https://youtu.be/u3pLlgzUeV8 to docs (ultralytics#9367)

* Fix typo in YOLOv8-Libtorch-CPP-Inference (ultralytics#9330)

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* Simplify metrics calculation (ultralytics#9338)

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* Fix typo in example readme (ultralytics#9306)

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* Specify YOLODataset task arg during INT8 calibration (ultralytics#9309)

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* `ultralytics 8.1.35` simplify network modules (ultralytics#9321)

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---------

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gkinman pushed a commit to Octasic/ultralytics that referenced this pull request May 30, 2024
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puzhiyuan pushed a commit to puzhiyuan/ultralytics that referenced this pull request Oct 18, 2024
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