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ultralytics 8.1.31 NCNN and CLIP updates #9235

Merged
merged 12 commits into from
Mar 22, 2024
Merged

ultralytics 8.1.31 NCNN and CLIP updates #9235

merged 12 commits into from
Mar 22, 2024

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glenn-jocher
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@glenn-jocher glenn-jocher commented Mar 22, 2024

πŸ› οΈ PR Summary

Made with ❀️ by Ultralytics Actions

🌟 Summary

Enhanced configuration validation, version bump, and streamlined codebase for better usability and performance.

πŸ“Š Key Changes

  • πŸ“ Added documentation for check_cfg in configuration reference.
  • πŸ†™ Updated package version to 8.1.31.
  • πŸ”§ Improved configuration settings by using sets for mode and task definitions, enhancing code clarity and lookup efficiency.
  • πŸ›  Introduced check_cfg function to strengthen type and value validation across configurations, improving error handling and user feedback.
  • πŸ’‘ Modified several list definitions to sets for configuration keys, optimizing for performance and consistency.
  • πŸŽ‰ Enhanced tojson and introduced summary methods in results processing for more versatile data handling.
  • 🧹 Refined the neural network backend interaction, especially with NCNN, for cleaner and more efficient code execution.
  • 🌍 Updated WorldModel initialization to include a CLIP model placeholder, preparing for future integrations.
  • πŸš€ General codebase improvements, including changing some data structure definitions to sets for efficiency and clarity.

🎯 Purpose & Impact

  • πŸš€ Efficiency and Clarity: These changes aim to make the code more efficient, particularly in configuration handling and data structure operations, resulting in faster execution times and clearer code.
  • πŸ” Improved Validation: Enhanced configuration validation helps prevent common errors earlier, improving user experience by ensuring configurations are correctly set before runtime.
  • πŸ“ˆ Version Update: The new version (8.1.31) indicates incremental improvements and fixes, reassuring users of ongoing support and development.
  • 🌐 Future-Proofing: Preparing for CLIP model integrations and streamlining JSON data handling are forward-looking steps to incorporate more advanced features and usability enhancements in future updates.

These updates strive to make the Ultralytics framework more robust, user-friendly, and capable of handling more complex tasks seamlessly.

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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codecov bot commented Mar 22, 2024

Codecov Report

Attention: Patch coverage is 61.53846% with 20 lines in your changes are missing coverage. Please review.

Project coverage is 76.67%. Comparing base (292e028) to head (1711645).
Report is 1 commits behind head on main.

Files Patch % Lines
ultralytics/cfg/__init__.py 44.82% 16 Missing ⚠️
ultralytics/nn/tasks.py 60.00% 4 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #9235      +/-   ##
==========================================
- Coverage   76.94%   76.67%   -0.27%     
==========================================
  Files         117      117              
  Lines       14853    14862       +9     
==========================================
- Hits        11428    11396      -32     
- Misses       3425     3466      +41     
Flag Coverage Ξ”
Benchmarks 36.47% <38.46%> (-0.34%) ⬇️
GPU 38.81% <38.46%> (-0.01%) ⬇️
Tests 71.90% <55.76%> (-0.01%) ⬇️

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@glenn-jocher glenn-jocher changed the title NCNN updates ultralytics 8.1.31 NCNN inference updates Mar 22, 2024
@glenn-jocher glenn-jocher changed the title ultralytics 8.1.31 NCNN inference updates ultralytics 8.1.31 Tencent NCNN inference updates Mar 22, 2024
@Burhan-Q Burhan-Q added the enhancement New feature or request label Mar 22, 2024
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@glenn-jocher just checking, would anything done in #8967 help with what you're looking to do with ultralytics.engine.results.Results? Been working with the author on getting that in a good place and it looks like it could be related. Just wanted to make sure you were aware in case you hadn't seen that yet, as it covers all tasks to generate dict and pandas.DataFrame results, which could also modify the tojson method (hadn't changed it yet as I wasn't certain if it would impact anything else).

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glenn-jocher commented Mar 22, 2024

@Burhan-Q oh yeah let me explain this one (haven't seen the other PR). This PR separates out the Results summary from the JSON creation into two separate functions, nothing else on the results side.

This resolves an issue in my upcoming inference API where the dict was being turned into a JSON and then a dict to combine with other metadata before converting again into a JSON, so this PR coupled with the assistants update with eliminate this Dict > JSON > Dict roundtrip when using .tojson() before to now using .summary() to output the > Dict by itself.

Also includes some NCNN improvements I profiled while on the plane.

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@Burhan-Q more clearly from the assistants PR:

Screenshot 2024-03-22 at 18 30 04

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Understood. In the other PR there's a new Results.asdict() which is where I thought there could be some overlap

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@Burhan-Q hmm ok, I'll wait and take a look at that one later today first then!

@glenn-jocher glenn-jocher changed the title ultralytics 8.1.31 Tencent NCNN inference updates ultralytics 8.1.31 NCNN and CLIP updates Mar 22, 2024
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@Burhan-Q merging this to not delay further, and also because this PR introduces only very minimal results changes compared to #8967 which proposes extensive changes that will need review and tests etc.

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glenn-jocher commented Mar 22, 2024

@Burhan-Q also I get a bit worried when I see a PR with only additions and no deletions (i.e. +300 -0), as this is a much simpler (for users) but less maintainable (for Ultralytics) route for users to attempt with PRs and can lead to creep in the codebase and more pain for us in the long run.

This PR #9235 is a better example, with +77 -60, which generally indicates a better understanding of the codebase and more effort put in to modify areas as appropriate instead of only adding new code (and sometimes ignoring existing code).

@glenn-jocher glenn-jocher merged commit 3c179f8 into main Mar 22, 2024
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@glenn-jocher glenn-jocher deleted the ncnn-updates branch March 22, 2024 22:51
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Understood. I did add tests into the other PR, but maybe went overboard. I didn't remove anything as I wasn't 100/% if anything relied on the structure of the .tojson() method formatting vs what I added. I did also include the changes added with 8.1.31 into the other PR without any conflicts. Certainly appreciate there could be lots to clean up or optimize in #8967

DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* Add settings `runs_dir` == `datasets_dir` warning (ultralytics#8653)

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* Add Ultralytics HUB Cloud Training banner to Docs (ultralytics#8656)

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* Update CITATION.cff with cffinit corrections (ultralytics#8658)

* Update Colab notebook for YOLOv8.1 (ultralytics#8660)

* `ultralytics 8.1.24` new OpenVINO 2023.3 export updates (ultralytics#8417)

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* OBB: Fix when training on zip data (ultralytics#8680)

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* Object Counter improvements (ultralytics#8648)

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* Clarify triton server boolean value (ultralytics#8532)

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* Add `model.eval()` in TensorBoad graph visualization to avoid BN stats changes (ultralytics#8629)

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* Add domain checks to CI docs page (ultralytics#8714)

* `ultralytics 8.1.25` OpenVINO `LATENCY` and `THROUGHPUT` modes (ultralytics#8058)

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* Add https://youtu.be/OpWpBI35A5Y to inference-api Docs (ultralytics#8717)

* OpenVino 2024.0.0 (ultralytics#8726)

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* Fix tfjs exports for ARM64 Dockerfile (ultralytics#8766)

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* Modify tuner best.pt logic to train first (ultralytics#8792)

* Update CI.md with CI links (ultralytics#8786)

* Add https://youtu.be/ZzUSXQkLbNw to Integration Docs (ultralytics#8793)

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* `ultralytics 8.1.25` fix `**kwargs: (dict)` warnings (ultralytics#8815)

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* Add docs guide terminal images (ultralytics#8819)

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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
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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