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If you are using the legacy SimBAxTF branch, please transition to the currently supported branch. To receive support, you must download the most up-to-date SimBA version ( pip install simba-uw-tf-dev). We are are no longer supporting the legacy SimBAxTF branch, which required TensorFlow. Scenario tutorials Scenario 1: Building classifiers from scratch Scenario 2: Using a classifier on new experimental data Scenario 3: Updating a classifier with further annotated data Scenario 4: Analyzing and adding new Experimental data to a previously started project Installation ⚙️ Tutorial 📚 Resource 💾 API reference Models SimBA visualization examples Labelled images Tracking weights Golden Lab webpage License 📃 References 📜 Contributors 🤼 README.md SimBA (Simple Behavioral Analysis) Apr-04-2023: SimBA version 1.55 release Oct-07-2021: SimBA version 1.31 release Regions of Interest (ROIs) in SimBA Feb-08-2021: SimBA version 1.3 release Selected New Features June-12-2020: SimBA version 1.2 release New Features April-25-2020: SimBA pre-print manuscript release March-05-2020: SimBA version 1.1 release New Features What is SimBA? Mouse Rat SimBA GUI workflow Pipeline 👷 Documentation: General methods Step 1: Pre-process videos Step 2: Create tracking model and generate pose-estimation data Step 3: Building classfier(s) Step 4: Analysis/Visualization Click here for the full generic tutorial on building classifiers in SimBA.
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