Rendering webcam Image through python OPEN-CV (Deployed in heroku) Example site
1 : Raw_image from JS using main.js pushed to socket /test and geathered by app.py file to class VideoCamera.
2 : The raw image (bytes64) in stored in list with name to_process.
3 : If to_process list is not empty, process_one method grab the last raw image string from the list.
4 : process_one method store the output image in output_image_rgb list, in this method we perform our preprocessing with the image by converting bytes64 to cv readable array format.
5 : get_frame method get the latest output_image from the list. Here we are getting the base64 type image output
6 : Route '/video_feed' get the image through the generator and response with the bytes64 image.
7 : In index.html <img id="imageElement" src="{{ url_for('video_feed') }}" style=" height: 300px;"> get the image to display.
1 : Clone this repository using $ git clone https://github.com/neoaman/OpenCV-Flask-Socket-IO.git
2 : Go to the clonned directory $ cd OpenCV-Flask-Socket-IO
3 : Remove the .git file $ rm -r .git/
4 : Login to your Heroku account $ heroku login
- Press Enter to open the browser.
- Enter the Login credentials for your account.
5 : Create an application $ heroku create <your_application_name> (replace <your_application_name> as desired)
6 : Initiate a new .git $ git init
7 : Add the files to remote repository $ heroku git:remote add -a <your_application_name>
8 : Add the files to repository $ git add .
9 : Commit the changes $ git commit -am '<Your commit message>'
10 : Push the files to heroku $ git push heroku master
Now you can see your work on https://<your_application_name>.herokuapp.com