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import streamlit as st
import cv2
import numpy as np
import mediapipe as mp
def convert_and_process(uploaded_file):
with open("temp.mp4", "wb") as f:
f.write(uploaded_file.getbuffer())
# Convert to desired format (replace with your preferred format)
cap = cv2.VideoCapture("temp.mp4")
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('output.mp4', fourcc, 20.0, (int(cap.get(3)), int(cap.get(4))))
# Initialize Mediapipe Pose
mp_pose = mp.solutions.pose
with mp_pose.Pose() as pose:
while True:
ret, frame = cap.read()
if not ret:
break
# Convert to RGB for Mediapipe
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
results = pose.process(image)
# Draw skeleton stickfigure (basic implementation)
if results.pose_landmarks:
for id, lm in enumerate(results.pose_landmarks.landmark):
h, w, c = image.shape
cx, cy = int(lm.x * w), int(lm.y
* h)
cv2.circle(image, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
# Write the frame with stickfigures to the output video
out.write(image)
cap.release()
out.release()
def main():
st.title("Video Upload and Processing")
uploaded_file = st.file_uploader("Upload a video")
if uploaded_file is not None:
convert_and_process(uploaded_file)
st.video('output.mp4')
if __name__ == '__main__':
main()
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