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app.py
CHANGED
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@@ -12,13 +12,13 @@ from collections import deque
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HF_MODEL_REPO_ID = "owinymarvin/timesformer-crime-detection"
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# These must match the values used during your training
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NUM_FRAMES = 8 #
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TARGET_IMAGE_HEIGHT = 224
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TARGET_IMAGE_WIDTH = 224
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# --- Prediction Timing ---
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# How long to record (in seconds) before making a prediction
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RECORDING_DURATION_SECONDS =
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# How often the model should predict (after the recording duration)
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# Setting this to a very high number (like 9999) means it essentially predicts only once
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# after the recording is done until reset. Or you can leave it at 1.0 if you want it to trigger often.
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@@ -105,6 +105,7 @@ def reset_app_state():
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recording_start_time = None
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last_prediction_time = time.time()
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print("App state reset.")
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return "Ready to record...", "Ready for new prediction."
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# --- Gradio Interface ---
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@@ -115,6 +116,7 @@ with gr.Blocks() as demo:
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This demo uses a finetuned TimesFormer model ({HF_MODEL_REPO_ID}) to predict crime actions from a live webcam feed.
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It records **{RECORDING_DURATION_SECONDS} seconds** of video, then automatically triggers a prediction.
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The model processes **{NUM_FRAMES} frames** per prediction.
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Please allow webcam access.
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"""
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)
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@@ -129,7 +131,7 @@ with gr.Blocks() as demo:
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status_output = gr.Textbox(label="Status", value="Ready to record...")
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# Reset Button
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reset_button = gr.Button("Reset / Start New
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with gr.Column():
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prediction_output = gr.Textbox(label="Prediction Result", value="Recording will start automatically.")
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HF_MODEL_REPO_ID = "owinymarvin/timesformer-crime-detection"
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# These must match the values used during your training
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NUM_FRAMES = 8 # Still using 8 frames, as that was your original training setup
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TARGET_IMAGE_HEIGHT = 224
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TARGET_IMAGE_WIDTH = 224
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# --- Prediction Timing ---
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# How long to record (in seconds) before making a prediction
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RECORDING_DURATION_SECONDS = 10.0 # CHANGED: Now records for 10 seconds
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# How often the model should predict (after the recording duration)
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# Setting this to a very high number (like 9999) means it essentially predicts only once
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# after the recording is done until reset. Or you can leave it at 1.0 if you want it to trigger often.
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recording_start_time = None
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last_prediction_time = time.time()
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print("App state reset.")
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# Return initial messages for the UI
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return "Ready to record...", "Ready for new prediction."
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# --- Gradio Interface ---
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This demo uses a finetuned TimesFormer model ({HF_MODEL_REPO_ID}) to predict crime actions from a live webcam feed.
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It records **{RECORDING_DURATION_SECONDS} seconds** of video, then automatically triggers a prediction.
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The model processes **{NUM_FRAMES} frames** per prediction.
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Click 'Reset' to start a new video recording.
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Please allow webcam access.
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"""
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)
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status_output = gr.Textbox(label="Status", value="Ready to record...")
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# Reset Button
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reset_button = gr.Button("Reset / Start New Video")
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with gr.Column():
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prediction_output = gr.Textbox(label="Prediction Result", value="Recording will start automatically.")
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