Remove MkDocs redirects (#20003)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2025-09-15 15:48:41 +08:00 · 2025-04-03 22:26:59 +02:00 · 2025-04-03 22:26:59 +02:00 · ca3abdbd70
commit ca3abdbd70
parent dc6e88db87
3 changed files with 1 additions and 108 deletions
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@ -48,7 +48,7 @@ jobs:
          python-version: "3.x"
      - uses: astral-sh/setup-uv@v5
      - name: Install Dependencies
-        run: uv pip install --system ruff black tqdm mkdocs-material "mkdocstrings[python]" mkdocs-redirects mkdocs-ultralytics-plugin mkdocs-macros-plugin
+        run: uv pip install --system ruff black tqdm mkdocs-material "mkdocstrings[python]" mkdocs-ultralytics-plugin mkdocs-macros-plugin
      - name: Ruff fixes
        continue-on-error: true
        run: |
--- a/mkdocs.yml
+++ b/mkdocs.yml
@ -684,109 +684,3 @@ plugins:
      add_css: False
      default_image: https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png
      default_author: glenn.jocher@ultralytics.com
-  - redirects:
-      redirect_maps:
-        hi/index.md: index.md
-        nl/index.md: index.md
-        callbacks.md: usage/callbacks.md
-        cfg.md: usage/cfg.md
-        cli.md: usage/cli.md
-        config.md: usage/cfg.md
-        engine.md: usage/engine.md
-        environments/AWS-Quickstart.md: yolov5/environments/aws_quickstart_tutorial.md
-        environments/Docker-Quickstart.md: yolov5/environments/docker_image_quickstart_tutorial.md
-        environments/GCP-Quickstart.md: yolov5/environments/google_cloud_quickstart_tutorial.md
-        FAQ/augmentation.md: yolov5/tutorials/tips_for_best_training_results.md
-        package-framework.md: index.md
-        package-framework/mock_detector.md: index.md
-        predict.md: modes/predict.md
-        python.md: usage/python.md
-        quick-start.md: quickstart.md
-        app.md: hub/app/index.md
-        sdk.md: index.md
-        hub/inference_api.md: hub/inference-api.md
-        usage/hyperparameter_tuning.md: integrations/ray-tune.md
-        models/sam2.md: models/sam-2.md
-        reference/base_pred.md: reference/engine/predictor.md
-        reference/base_trainer.md: reference/engine/trainer.md
-        reference/exporter.md: reference/engine/exporter.md
-        reference/model.md: reference/engine/model.md
-        reference/nn.md: reference/nn/modules/head.md
-        reference/ops.md: reference/utils/ops.md
-        reference/results.md: reference/engine/results.md
-        reference/base_val.md: index.md
-        reference/index.md: reference/cfg/__init__.md
-        tasks/classification.md: tasks/classify.md
-        tasks/detection.md: tasks/detect.md
-        tasks/segmentation.md: tasks/segment.md
-        tasks/keypoints.md: tasks/pose.md
-        tasks/tracking.md: modes/track.md
-        help/minimum_reproducible_example.md: help/minimum-reproducible-example.md
-        help/code_of_conduct.md: help/code-of-conduct.md
-        tutorials/architecture-summary.md: yolov5/tutorials/architecture_description.md
-        tutorials/clearml-logging.md: yolov5/tutorials/clearml_logging_integration.md
-        tutorials/comet-logging.md: yolov5/tutorials/comet_logging_integration.md
-        tutorials/hyperparameter-evolution.md: yolov5/tutorials/hyperparameter_evolution.md
-        tutorials/model-ensembling.md: yolov5/tutorials/model_ensembling.md
-        tutorials/multi-gpu-training.md: yolov5/tutorials/multi_gpu_training.md
-        tutorials/nvidia-jetson.md: guides/nvidia-jetson.md
-        tutorials/pruning-sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
-        tutorials/pytorch-hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
-        tutorials/roboflow.md: integrations/index.md
-        tutorials/test-time-augmentation.md: yolov5/tutorials/test_time_augmentation.md
-        tutorials/torchscript-onnx-coreml-export.md: yolov5/tutorials/model_export.md
-        tutorials/train-custom-datasets.md: yolov5/tutorials/train_custom_data.md
-        tutorials/training-tips-best-results.md: yolov5/tutorials/tips_for_best_training_results.md
-        tutorials/transfer-learning-froze-layers.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
-        tutorials/weights-and-biasis-logging.md: yolov5/tutorials/comet_logging_integration.md
-        yolov5/pytorch_hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
-        yolov5/hyp_evolution.md: yolov5/tutorials/hyperparameter_evolution.md
-        yolov5/pruning_sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
-        yolov5/roboflow.md: integrations/index.md
-        yolov5/comet.md: yolov5/tutorials/comet_logging_integration.md
-        yolov5/clearml.md: yolov5/tutorials/clearml_logging_integration.md
-        yolov5/tta.md: yolov5/tutorials/test_time_augmentation.md
-        yolov5/multi_gpu_training.md: yolov5/tutorials/multi_gpu_training.md
-        yolov5/ensemble.md: yolov5/tutorials/model_ensembling.md
-        yolov5/jetson_nano.md: guides/nvidia-jetson.md
-        yolov5/transfer_learn_frozen.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
-        yolov5/neural_magic.md: yolov5/tutorials/neural_magic_pruning_quantization.md
-        yolov5/train_custom_data.md: yolov5/tutorials/train_custom_data.md
-        yolov5/architecture.md: yolov5/tutorials/architecture_description.md
-        yolov5/export.md: yolov5/tutorials/model_export.md
-        yolov5/yolov5_quickstart_tutorial.md: yolov5/quickstart_tutorial.md
-        yolov5/tips_for_best_training_results.md: yolov5/tutorials/tips_for_best_training_results.md
-        yolov5/tutorials/yolov5_neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
-        yolov5/tutorials/model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
-        yolov5/tutorials/pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
-        yolov5/tutorials/yolov5_architecture_tutorial.md: yolov5/tutorials/architecture_description.md
-        yolov5/tutorials/multi_gpu_training_tutorial.md: yolov5/tutorials/multi_gpu_training.md
-        yolov5/tutorials/yolov5_pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
-        yolov5/tutorials/model_export_tutorial.md: yolov5/tutorials/model_export.md
-        yolov5/tutorials/jetson_nano_tutorial.md: guides/nvidia-jetson.md
-        yolov5/tutorials/yolov5_model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
-        yolov5/tutorials/roboflow_integration.md: integrations/index.md
-        yolov5/tutorials/pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
-        yolov5/tutorials/yolov5_transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
-        yolov5/tutorials/transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
-        yolov5/tutorials/yolov5_model_export_tutorial.md: yolov5/tutorials/model_export.md
-        yolov5/tutorials/neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
-        yolov5/tutorials/yolov5_clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
-        yolov5/tutorials/yolov5_train_custom_data.md: yolov5/tutorials/train_custom_data.md
-        yolov5/tutorials/comet_integration_tutorial.md: yolov5/tutorials/comet_logging_integration.md
-        yolov5/tutorials/yolov5_pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
-        yolov5/tutorials/yolov5_jetson_nano_tutorial.md: guides/nvidia-jetson.md
-        yolov5/tutorials/running_on_jetson_nano.md: guides/nvidia-jetson.md
-        yolov5/tutorials/yolov5_roboflow_integration.md: integrations/index.md
-        yolov5/tutorials/hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
-        yolov5/tutorials/yolov5_hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
-        yolov5/tutorials/clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
-        yolov5/tutorials/test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
-        yolov5/tutorials/yolov5_test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
-        yolov5/tutorials/roboflow_datasets_integration.md: integrations/index.md
-        yolov5/environments/yolov5_amazon_web_services_quickstart_tutorial.md: yolov5/environments/aws_quickstart_tutorial.md
-        yolov5/environments/yolov5_google_cloud_platform_quickstart_tutorial.md: yolov5/environments/google_cloud_quickstart_tutorial.md
-        yolov5/environments/yolov5_docker_image_quickstart_tutorial.md: yolov5/environments/docker_image_quickstart_tutorial.md
-        reference/data/explorer/explorer.md: datasets/explorer/index.md
-        reference/data/explorer/gui/dash.md: datasets/explorer/index.md
-        reference/data/explorer/utils.md: datasets/explorer/index.md
--- a/pyproject.toml
+++ b/pyproject.toml
@ -89,7 +89,6 @@ dev = [
    "mkdocs>=1.6.0",
    "mkdocs-material>=9.5.9",
    "mkdocstrings[python]",
-    "mkdocs-redirects", # 301 redirects
    "mkdocs-ultralytics-plugin>=0.1.17", # for meta descriptions and images, dates and authors
    "mkdocs-macros-plugin>=1.0.5"  # duplicating content (i.e. export tables) in multiple places
 ]