OpenCV Python Create Video from Images Tutorial: Image Sequence to Video Guide

OpenCV Python – Video from Images

Creating a video from images is a powerful feature in OpenCV. It allows you to combine a sequence of images into a smooth video file.

This technique is widely used in animations, timelapse creation, and data visualization.

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1. What is Video from Images?

It means:

• Taking multiple images
• Arranging them in order
• Converting them into a video file

It is used for:

• Timelapse videos
• Animation creation
• Dataset visualization
• AI-generated video outputs

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2. Import OpenCV and OS

import cv2
import os

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3. Load Images from Folder

image_folder = "frames"
images = [img for img in os.listdir(image_folder) if img.endswith(".jpg")]
images.sort()

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4. Read First Image for Size

first_image = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = first_image.shape

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5. Define Video Writer

Syntax:

cv2.VideoWriter(filename, fourcc, fps, frameSize)

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Example:

video = cv2.VideoWriter(
    "output.mp4",
    cv2.VideoWriter_fourcc(*"mp4v"),
    30,
    (width, height)
)

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6. Convert Images to Video

for image in images:
    img_path = os.path.join(image_folder, image)
    frame = cv2.imread(img_path)
    video.write(frame)

video.release()

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7. Play Created Video

cap = cv2.VideoCapture("output.mp4")

while cap.isOpened():
    ret, frame = cap.read()

    if not ret:
        break

    cv2.imshow("Video from Images", frame)

    if cv2.waitKey(25) & 0xFF == 27:
        break

cap.release()
cv2.destroyAllWindows()

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8. Why Create Video from Images?

This technique is useful for:

• Time-lapse creation
• AI training visualization
• Animation generation
• Frame-based storytelling
• Data visualization videos

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9. Common Mistakes

❌ Images not sorted

✔ Solution:

• Use images.sort()

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❌ Wrong frame size

✔ Solution:

• All images must have same resolution

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10. Conclusion

Creating video from images in OpenCV Python is a simple but powerful technique. It helps convert image sequences into smooth video outputs for various applications.

Once you master this, you can move to advanced video editing and real-time video processing techniques.