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import streamlit as st
import tempfile
import os
import cv2
import numpy as np
def remove_watermark(frame):
# Convert to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Thresholding to create a mask
_, mask = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
# Inpaint to remove watermark
result = cv2.inpaint(frame, mask, 3, cv2.INPAINT_TELEA)
return result
def enhance_resolution(input_path, output_path):
os.system(f"ffmpeg -i {input_path} -vf scale=1920:1080 {output_path}")
def trim_invidea_ai_branding(input_path, output_path, duration=None):
if duration is None:
duration = get_video_duration(input_path) - 3 # Trim last 3 seconds
os.system(f"ffmpeg -i {input_path} -t {duration} {output_path}")
def get_video_duration(video_path):
import ffmpeg
probe = ffmpeg.probe(video_path)
return float(probe['format']['duration'])
def process_video(input_video):
cap = cv2.VideoCapture(input_video)
if not cap.isOpened():
return None
temp_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(temp_output.name, fourcc, 30.0, (int(cap.get(3)), int(cap.get(4))))
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
processed_frame = remove_watermark(frame)
out.write(processed_frame)
cap.release()
out.release()
# Enhance resolution
enhanced_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
enhance_resolution(temp_output.name, enhanced_output.name)
# Trim branding
final_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
trim_invidea_ai_branding(enhanced_output.name, final_output.name)
return final_output.name
st.title("AI Video Enhancement App 🎥")
uploaded_file = st.file_uploader("Upload a video", type=["mp4", "avi", "mov"])
if uploaded_file:
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as temp_file:
temp_file.write(uploaded_file.read())
temp_file_path = temp_file.name
st.write("Processing video...")
processed_video_path = process_video(temp_file_path)
if processed_video_path:
st.video(processed_video_path)
with open(processed_video_path, "rb") as file:
st.download_button("Download Processed Video", file, "enhanced_video.mp4", "video/mp4")
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