How to develop a green screen app?

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  • Forum posts: 1

Apr 20, 2017, 4:49:43 PM via Website

HI

I've been wanting to try and develop a green screen app.

I know they exist but I want to take it a step further, similar to the gorillaz new lenz app.
Can anybody share a link to a tutorial or if its simple, send me some helpful code or something?

Any help will be appreciated.

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  • Forum posts: 80

Sep 15, 2021, 9:34:50 AM via Website

some of the best green screen apps that will help content creators and smartphone videographers make green screen content:

PowerDirector. Free
Kinemaster. ...
Motion Ninja. ...
iMovie. ...
Do Ink. ...
WeVideo Movie & Video Editor. ...
Chromavid.
Green Screen by Do Ink.

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  • Forum posts: 2

Oct 15, 2021, 7:38:37 PM via Website

If we talk about a background image, then you can take any picture and use image enhancer. For application development, you can use Kalipso Studio or a similar tool.

— modified on Oct 27, 2021, 4:13:42 PM

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  • Forum posts: 10

Sep 25, 2023, 11:24:00 AM via Website

These resources should provide you with tutorials, tips, and guidance on creating a green screen app. It's important to note that creating an app like the Gorillaz New Lenz app may require more advanced techniques and possibly additional tools and frameworks

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  • Forum posts: 4

Jan 24, 2024, 9:07:43 AM via Website

Hello there!

It's awesome that you're interested in developing a green screen app, especially with the goal of taking it to the next level like the Gorillaz new Lenz app. Developing such an app can be a fun and rewarding project!

To get started, you might want to explore tutorials on computer vision, image processing, and augmented reality. OpenCV is a popular library for such tasks and can be a great starting point. Here's a simple example using Python and OpenCV:

import cv2

import numpy as np

Load the video or webcam feed

cap = cv2.VideoCapture(0) # 0 for default webcam, you can replace it with a video file

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

# Convert the frame to HSV color space
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# Define the range of green color in HSV
lower_green = np.array([40, 40, 40])
upper_green = np.array([80, 255, 255])

# Create a mask for the green color
mask = cv2.inRange(hsv, lower_green, upper_green)

# Bitwise AND to get the result, replacing the green background with a different background
result = cv2.bitwise_and(frame, frame, mask=mask)

# Display the original and resulting frames
cv2.imshow('Original', frame)
cv2.imshow('Result', result)

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

Release the video capture object and close all windows

cap.release()
cv2.destroyAllWindows()

This is a basic example, and you can build upon it by adding features like selecting custom backgrounds, implementing real-time image processing, or integrating with a mobile app.

For more advanced features like the Gorillaz new Lenz app, you may need to explore AR frameworks like ARKit (iOS) or ARCore (Android). Dive into their documentation and sample projects to get a deeper understanding.

Good luck with your green screen mobile app development , and feel free to ask if you have any specific questions!

— modified on Jan 24, 2024, 9:54:58 AM

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