Update visualization.py
Browse files- visualization.py +1 -8
visualization.py
CHANGED
@@ -203,13 +203,6 @@ def plot_posture(df, posture_scores, color='blue', anomaly_threshold=3):
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plt.close()
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return fig
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import matplotlib.pyplot as plt
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from matplotlib.backends.backend_agg import FigureCanvasAgg
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import matplotlib.colors as mcolors
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import numpy as np
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import cv2
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def create_video_with_heatmap(video_path, df, mse_embeddings, mse_posture, output_path, desired_fps):
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cap = cv2.VideoCapture(video_path)
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original_fps = cap.get(cv2.CAP_PROP_FPS)
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@@ -242,7 +235,7 @@ def create_video_with_heatmap(video_path, df, mse_embeddings, mse_posture, outpu
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fig, ax = plt.subplots(figsize=(width/100, 2))
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im = ax.imshow(combined_mse, aspect='auto', extent=[0, total_frames, 0, 2])
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ax.set_yticks([0.5, 1.5])
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ax.set_yticklabels(['
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ax.set_xticks([])
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plt.tight_layout()
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plt.close()
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return fig
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def create_video_with_heatmap(video_path, df, mse_embeddings, mse_posture, output_path, desired_fps):
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cap = cv2.VideoCapture(video_path)
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original_fps = cap.get(cv2.CAP_PROP_FPS)
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fig, ax = plt.subplots(figsize=(width/100, 2))
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im = ax.imshow(combined_mse, aspect='auto', extent=[0, total_frames, 0, 2])
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ax.set_yticks([0.5, 1.5])
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ax.set_yticklabels(['Face', 'Posture'])
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ax.set_xticks([])
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plt.tight_layout()
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