Using FastAPI framework, I wrote a program that takes live video feed from webcam and shows it in the front end using image_feed function. Each frame is processed with a function namely process_image(img, scale=0.35). From that function, it updates a global dataframe df.
When this process is complete, the live feed is stopped by making state.live = False. The function then calls /upload_df, that should convert the df into a HTML table and show it in the HTML front end. (With a print command, I checked the html table conversion is successful).

Using FastAPI framework, I wrote a program that takes live video feed from webcam and shows it in the front end using image_feed function. Each frame is processed with a function namely process_image(img, scale=0.35). From that function, it updates a global dataframe df.
When this process is complete, the live feed is stopped by making state.live = False. The function then calls /upload_df, that should convert the df into a HTML table and show it in the HTML front end. (With a print command, I checked the html table conversion is successful).

Using FastAPI framework, I wrote a program that takes live video feed from webcam and shows it in the front end using image_feed function. Each frame is processed with a function namely process_image(img, scale=0.35). From that function, it updates a global dataframe df.
When this process is complete, the live feed is stopped by making state.live = False. The function then calls /upload_df, that should convert the df into a HTML table and show it in the HTML front end. (With a print command, I checked the html table conversion is successful).

Using FastAPI framework, I wrote a program that takes live video feed from webcam and shows it in the front end using image_feed function. Each frame is processed with a function namely process_image(img, scale=0.35). From that function, it updates a global dataframe df.
When this process is complete, the live feed is stopped by making state.live = False. The function then calls /upload_df, that should convert the df into a HTML table and show it in the HTML front end. (With a print command, I checked the html table conversion is successful).

I’m trying to stream a response to the client with the progress percentage after processing each file in the below code, however I see the error I/O operation on closed file for each of the files.

I’m trying to stream a response to the client with the progress percentage after processing each file in the below code, however I see the error I/O operation on closed file for each of the files.

I’m trying to stream a response to the client with the progress percentage after processing each file in the below code, however I see the error I/O operation on closed file for each of the files.

I wonder how to pick up the body post request from a fast api server in order to transform this body to making a new body to post another server.

I am using fastapi-mail to send a simple email from backend for one of the routes. This is the code that I have running:

Closed 3 months ago.