Add fine-tuned SuperAnimal-Quadruped support and improve demo setup#30

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Commits on May 15, 2026

Add arguments for 2D pose model overrides in opts class
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Add configuration file for HRNet-w32 backbone fine-tuned on Animal3D
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Add initial configuration file for animal 2D detector and HRNet-w32 fine-tuning
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Enhance SuperAnimalConfig with fine-tuning options and detailed mode descriptions
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Update vis_animals.sh to include saved_2d_model_path and reset saved_model_path
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Refactor 2D pose estimation in vis_animals.py to use SuperAnimalEstimator and streamline debug handling
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Refactor resolve_weights_path function in weights.py for improved clarity and parameter naming
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Update README.md to clarify pre-trained model usage and auto-download process
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Remove unused joint variables from vis_animals.sh
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Update model weights path resolution to include file extension
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Enhance SuperAnimalEstimator to support fine-tuned model loading and auto-download functionality
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Update README.md to enhance SuperAnimalEstimator description with fine-tuned and stock modes
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Update model weights path resolution to include file extension for loading
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Remove unused modules and classes related to 3D pose estimation
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Update DatasetConfig references from "rat7m" to "animal3d" and adjust root path accordingly
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Remove references to Rat7M dataset from Graph class and related documentation
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Update action placeholder in main_animal3d.py for Animal3D dataset
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Update dataset default value and root path in arguments.py for Animal3D compatibility
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Add SuperAnimalConfig support and unit tests for fine-tuned mode in SuperAnimalEstimator
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Refactor get_pose2D function to streamline 2D pose estimation using SuperAnimalEstimator
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Refactor 2D and 3D pose estimation functions to build estimators once and reuse across images, improving efficiency and clarity.
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