Tomo_4.mp4

import matplotlib.pyplot as plt

plt.scatter(pca_features[:, 0], pca_features[:, 1]) plt.show() This example provides a basic framework for extracting deep features from a video and simple analysis. Depending on your specific requirements (e.g., video classification, anomaly detection), you might need to adjust the model, preprocessing, and analysis steps. Also, processing a video frame-by-frame can be computationally intensive and might not be suitable for real-time applications without optimization. tomo_4.mp4

# Check if video file was opened successfully if not cap.isOpened(): print("Error opening video file") import matplotlib

from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input import matplotlib.pyplot as plt plt.scatter(pca_features[: