From c81d2d8f06a5b0832d99d7965af062c9d616403a Mon Sep 17 00:00:00 2001 From: Chetan G Date: Tue, 24 Oct 2023 16:26:07 +0530 Subject: [PATCH] Create Integration Video to Frames Conversion: The code takes a video file as input. It uses the FFmpeg tool to convert the video into a series of image frames. The frames are saved in a temporary directory. It specifies options such as video scaling and image quality. Load Pre-trained VGG16 Model: It loads the VGG16 model, pre-trained on ImageNet, using Keras. The model is set up to exclude the top classification layers, leaving only the feature extraction layers. Image Loading and Feature Extraction: It reads the image frames from the temporary directory. The frames are resized to a specified dimension (e.g., 224x224 pixels). The pre-trained VGG16 model is used to extract dense features from the images. These features are then saved as NumPy arrays. Output and Cleanup: The extracted features are saved in a specified directory in NumPy format. The temporary directory containing image frames is deleted. --- Chapter05/Integration | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 Chapter05/Integration diff --git a/Chapter05/Integration b/Chapter05/Integration new file mode 100644 index 0000000..bfe6d67 --- /dev/null +++ b/Chapter05/Integration @@ -0,0 +1,29 @@ +# Import necessary libraries and modules + +class VideoCaptioningPreProcessing: + def __init__(self, video_dest, feat_dir, temp_dest, img_dim=224, channels=3, batch_size=128, frames_step=80): + # Initialize parameters here + + # Define methods for video to frames, model loading, load image, and feature extraction + + def process_video(self, video): + # Video processing logic + + def parallel_processing(self, video_list): + # Parallel processing using multiprocessing + + def parse_args(self): + # Parse command-line arguments + + def process_videos(self, video_list): + # Batch process multiple videos + + def batch_processing(self, video_list, batch_size=4): + # Batch processing of videos + + def process_main(self): + # Main processing logic + +if __name__ == '__main__': + preprocessing = VideoCaptioningPreProcessing() + preprocessing.process_main()