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Runtime error
Rohit Nair commited on
Commit ·
72d0f36
1
Parent(s): f463fb8
gradio fixes
Browse files- README.md +13 -0
- app.py +8 -9
- model/data/data_download_instructions.md +5 -0
README.md
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@@ -13,3 +13,16 @@ license: mit
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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=======
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# antisomnus - Driver Drowsiness Detection
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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=======
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# antisomnus - Driver Drowsiness Detection
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## Instructions
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1. Navigate to project directory
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2. Run the following commands after deactivating your current Python virtual environment if you are already on one.
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```bash
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python3 -m venv .venv
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source .venv/bin/activate
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pip install -r requirements.txt
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gradio app.py
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```
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app.py
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@@ -11,12 +11,11 @@ import tensorflow as tf
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import cv2
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# Add the path to the model directory
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path
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sys.path.insert(0,str(path.absolute())+"/model/data")
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from mp_process import process_mp_img
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model = tf.keras.models.load_model(
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def preprocess_frame(frame):
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"""
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# Define the input component as an Image component
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input_image = gr.
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# Define the output components as an Image and a Label component
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output_image = gr.
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output_model = gr.
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output_mp = gr.
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output_eye = gr.
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output_mouth = gr.
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iface = gr.Interface(
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import cv2
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# Add the path to the model directory
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sys.path.append("model/data")
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from mp_process import process_mp_img
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model = tf.keras.models.load_model("model/training/saved_models/en_model_v0.h5")
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def preprocess_frame(frame):
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"""
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# Define the input component as an Image component
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input_image = gr.Image(shape=(480, 640), source="webcam", label="live feed")
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# Define the output components as an Image and a Label component
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output_image = gr.Image(shape=(480,640),label="Drowsiness Detection")
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output_model = gr.Label(label="Drowsiness Status - en_model_v0.h5")
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output_mp = gr.Label(label="Drowsiness Status - MediaPipe")
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output_eye = gr.Textbox(label="Eye Aspect Ratio")
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output_mouth = gr.Textbox(label="Mouth Aspect Ratio")
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iface = gr.Interface(
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model/data/data_download_instructions.md
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1. Run the following command.
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```bash
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python process_data.py
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```
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