Here is the output: Figure 9.1 – CNN model loss and accuracy This code snippet calculates the test loss and accuracy of the model on the test set, using the evaluate function. The results will provide insights into how well …
Building a CNN model for labeling video data – Labeling Video Data-3 Read more »
Assuming you have already downloaded and extracted the Kinetics dataset from GitHub, let’s proceed further:# Define the path to the Kinetics Human action dataset# Specify the directoriesdance = “<your_path>/datasets/Ch9/Kinetics/dance”brush = “<your_path>/datasets/Ch9/Kinetics/brushing”new_video_data = “<your_path>/datasets/Ch9/Kinetics/test”# Load video data and get the maximum …
Building a CNN model for labeling video data – Labeling Video Data-2 Read more »
In this section, we will explore the process of building CNN models to label video data. We learned the basic concepts of CNN in Chapter 6. Now, we will delve into the CNN architecture, training, and evaluation techniques required to …
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Capturing real-time video Real-time video capture finds applications in various domains. One prominent use case is security and surveillance. In large public spaces, such as airports, train stations, or shopping malls, real-time video capture is utilized for security monitoring and …
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Real-time video processing involves analyzing and manipulating video data with minimal latency, often crucial for applications such as surveillance, robotics, and live streaming. Its challenges are as follows: Here are some common techniques for real-time video data capturing and processing: …
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Concept: Facial recognition involves identifying and verifying faces in videos. It’s used in security systems, user authentication, and various human-computer interaction applications. Tools: OpenCV (for face detection), Dlib (for facial landmark detection), and face recognition libraries (e.g., face_recognition) Here’s a …
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Advanced concepts in video data analysis The following concepts are fundamental in video data analysis and are commonly applied in real-world machine learning applications. Let’s see those concepts briefly here. Please note that the implementation of some of these concepts …
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