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 gesture_mapping.json
Browse files- gesture_mapping.json +12 -0
gesture_mapping.json
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{
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"01_palm": 0,
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"02_l": 1,
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"03_fist": 2,
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"04_fist_moved": 3,
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"05_thumb": 4,
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"06_index": 5,
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"07_ok": 6,
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"08_palm_moved": 7,
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"09_c": 8,
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"10_down": 9
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}
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