app.py

import streamlit as st
import numpy as np
import pickle
import pandas as pd
from ultralytics import YOLO
import os
import glob
import cv2
from statistics import mode


letter_map={0: 'അ', 1: 'ആ', 2: 'ച', 3: 'ഇ', 4: 'ജ', 5: 'ക', 6: 'ല', 7: 'ൾ', 8: 'ണ', 9: 'ന', 10: 'പ', 11: 'ര', 12: 'ർ', 13: 'റ', 14: 'സ', 15: 'ട', 16: 'ത', 17: 'വ', 18: 'യ', 19: 'ഴ'}

st.header('Sign Detection')
model = YOLO(r"C:\Users\hp\OneDrive\Desktop\mini pro\mini\best.onnx",task='detect')



def extract_frames(uploaded_file, output_folder):
    input_name = os.path.splitext(uploaded_file.name)[0]
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    content = uploaded_file.getvalue()

    temp_file_path = os.path.join(output_folder, "temp_video.mp4")
    with open(temp_file_path, "wb") as temp_file:
        temp_file.write(content)

    video_capture = cv2.VideoCapture(temp_file_path)
    frame_count = 0

    while True:
        ret, frame = video_capture.read()
        if not ret:
            break
        frame_filename = os.path.join(output_folder, f"{input_name}-{frame_count:04d}.jpg")
        cv2.imwrite(frame_filename, frame)
        frame_count += 1
    video_capture.release()
    st.write(f"Extracted {frame_count} frames from uploaded video to {output_folder}")
    os.remove(temp_file_path)


uploaded_file = st.file_uploader("Choose a video file", type=["mp4"])
if uploaded_file is not None:
    st.video(uploaded_file)
    st.text("Uploaded Video")

    if st.button("Submit"):
        output_folder = r"C:\Users\hp\OneDrive\Desktop\mini pro\mini\output"
        files = glob.glob(os.path.join(output_folder, '*'))
        for file in files:
            os.remove(file)
        extract_frames(uploaded_file, output_folder)

        
        preds=[]
        t=[]
        cl = []
        previous_element = None
        word=''

        for file in sorted(os.listdir(output_folder)):
            frame=os.path.join(output_folder,file)
            print(frame)
            res=model.predict(frame)
            try:
                preds.append(int(res[0].boxes.data[0][-1]))
            except:
                preds.append(-1)
        
        st.write(preds)


        if len(preds)%25:
            a=0
            b=a+25
            for i in range((len(preds)//25)+1):
                t.append(mode(preds[a:b]))
                a,b=b,b+25
        elif len(preds)%25:
            a=0
            b=a+25
            for i in range(len(preds)//25):
                t.append(mode(preds[a:b]))
                a,b=b,b+25


        for element in t:
                if element != -1:
                    if element != previous_element:
                        cl.append(element)
                previous_element = element


        for i in cl:
            word+=letter_map[i]
        st.write(word)