Video Classification
Keras
tensorflow
computer-vision
gesture-recognition
lstm
mediapipe
hand-tracking
deep-learning
Instructions to use a-01a/hand-gesture-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use a-01a/hand-gesture-recognition with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://a-01a/hand-gesture-recognition") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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@@ -3,10 +3,7 @@ title: Hand Gesture Recognition
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sdk_version: 4.44.0
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app_file: app.py
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license: mit
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- computer-vision
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- mediapipe
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- hand-tracking
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- video-classification
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emoji: 🖐️
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library_name: tensorflow
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license: mit
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tags:
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- computer-vision
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- mediapipe
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- hand-tracking
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- video-classification
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- tensorflow
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- keras
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- deep-learning
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