Boost 4K Drone Video Editing Speed on Windows by 1.5X with this Compact Program

Many drone 4K videos feature slow-flying drones to capture high-quality footage in difficult situations where crashes may occur. To speed up the video playback by 1.5X without compromising the video quality, you can use a compact program.

Here's a Python script that demonstrates how to speed up a video using the OpenCV library:

import cv2
import numpy as np

# Load the video
cap = cv2.VideoCapture('video.mp4')

# Get the video properties
fps_original = int(cap.get(cv2.CAP_PROP_FPS))
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

# Set the new frame rate
fps_new = fps_original * 1.5

# Create the FourCC code for the video codec
fourcc = cv2.VideoWriter_fourcc(*'mp4v')

# Create the output video writer
out = cv2.VideoWriter('output.mp4', fourcc, fps_new, (width, height))

while cap.isOpened():
    # Read a frame from the video
    ret, frame = cap.read()

    # Write the frame to the output video
    if ret:
        out.write(frame)

    # Display the frame
    cv2.imshow('frame', frame)

    # Exit if the 'q' key is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video capture and writer objects
cap.release()
out.release()

# Close all OpenCV windows
cv2.destroyAllWindows()

This script reads a video file named video.mp4, speeds it up by 1.5X, and saves the output to output.mp4. You can replace 'video.mp4' with the path to your video file.

References:

• OpenCV Documentation: Video Capture and Playback
• Python: numpy

The script uses the OpenCV library for video reading and writing, and the numpy library for numerical operations. Ensure that both libraries are installed before running the script. You can install them using pip:

pip install opencv-python numpy