Upload 8 files
Browse files- foren/__pycache__/utils.cpython-310.pyc +0 -0
- foren/app.py +68 -0
- foren/render.yaml +7 -0
- foren/requirements.txt +4 -0
- foren/static/styles.css +31 -0
- foren/templates/index.html +306 -0
- foren/templates/netlify.toml +8 -0
- foren/utils.py +83 -0
foren/__pycache__/utils.cpython-310.pyc
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Binary file (2.67 kB). View file
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foren/app.py
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from flask import Flask, request, send_from_directory, jsonify, render_template
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from werkzeug.utils import secure_filename
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import os
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import cv2
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from utils import apply_watermark, apply_watermark_to_video
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app = Flask(__name__)
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app.config['UPLOAD_FOLDER'] = 'uploads'
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app.config['RESULT_FOLDER'] = 'results'
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/upload', methods=['POST'])
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def upload_file():
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video_file = request.files.get('video')
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image_file = request.files.get('image')
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text = request.form['text']
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watermark_image = request.files.get('watermark_image')
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use_image = False
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if video_file:
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filename = secure_filename(video_file.filename)
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input_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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video_file.save(input_path)
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watermark_image_path = text
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if watermark_image:
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watermark_filename = secure_filename(watermark_image.filename)
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watermark_image_path = os.path.join(app.config['UPLOAD_FOLDER'], watermark_filename)
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watermark_image.save(watermark_image_path)
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use_image = True
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watermarked_filename = 'watermarked_' + filename
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watermarked_path = os.path.join(app.config['RESULT_FOLDER'], watermarked_filename)
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apply_watermark_to_video(input_path, watermarked_path, watermark_image_path, frame_skip=2, use_image=use_image)
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return jsonify({
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'original_url': filename,
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'watermarked_url': watermarked_filename
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})
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elif image_file and text:
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filename = secure_filename(image_file.filename)
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input_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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image_file.save(input_path)
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img = cv2.imread(input_path)
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watermarked_img = apply_watermark(img, text)
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watermarked_filename = 'watermarked_' + filename
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watermarked_path = os.path.join(app.config['RESULT_FOLDER'], watermarked_filename)
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cv2.imwrite(watermarked_path, watermarked_img)
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return jsonify({
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'original_url': filename,
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'watermarked_url': watermarked_filename
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})
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return 'Invalid request', 400
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@app.route('/uploads/<filename>')
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def uploaded_file(filename):
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return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
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@app.route('/results/<filename>')
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def result_file(filename):
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return send_from_directory(app.config['RESULT_FOLDER'], filename)
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if __name__ == '__main__':
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if not os.path.exists(app.config['UPLOAD_FOLDER']):
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os.makedirs(app.config['UPLOAD_FOLDER'])
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if not os.path.exists(app.config['RESULT_FOLDER']):
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os.makedirs(app.config['RESULT_FOLDER'])
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app.run(host='0.0.0.0', port=5000)
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foren/render.yaml
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services:
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- type: web
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name: flask-backend
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env: python
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plan: free
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buildCommand: pip install -r requirements.txt
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startCommand: python app.py
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foren/requirements.txt
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Flask
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numpy
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opencv-python-headless
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werkzeug
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foren/static/styles.css
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body {
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font-family: Arial, sans-serif;
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margin: 20px;
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}
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h1 {
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text-align: center;
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}
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form {
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display: flex;
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flex-direction: column;
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align-items: center;
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margin-bottom: 20px;
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}
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form div {
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margin: 10px 0;
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}
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button {
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padding: 10px 20px;
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font-size: 16px;
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}
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img, video {
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margin: 10px 0;
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border: 1px solid #ccc;
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padding: 5px;
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background-color: #f9f9f9;
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}
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foren/templates/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Watermark Application</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background-color: #333;
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margin: 0;
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padding: 0;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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min-height: 100vh;
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color: #ccc;
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}
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nav {
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margin-bottom: 20px;
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}
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nav a {
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color: #ccc;
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text-decoration: none;
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margin: 0 10px;
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}
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h1 {
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margin-bottom: 20px;
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color: #fff;
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}
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.container {
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display: flex;
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justify-content: center;
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width: 80%;
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flex-direction: column;
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align-items: center;
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}
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.upload-area {
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border: 2px dashed #009688;
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padding: 20px;
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width: 100%;
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max-width: 500px;
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text-align: center;
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background-color: #444;
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margin-bottom: 20px;
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cursor: pointer;
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color: #ccc;
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}
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.upload-area:hover {
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background-color: #555;
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}
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form {
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display: flex;
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flex-direction: column;
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align-items: center;
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width: 100%;
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}
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input[type="file"], input[type="text"], input[type="submit"] {
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margin-bottom: 10px;
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padding: 10px;
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width: 80%;
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max-width: 300px;
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background-color: #555;
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color: #ccc;
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border: 1px solid #666;
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}
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input[type="submit"] {
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background-color: #009688;
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color: white;
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border: none;
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cursor: pointer;
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}
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input[type="submit"]:hover {
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background-color: #00796b;
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}
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.result-section {
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margin: 20px 0;
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padding-top: 20px;
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border-top: 1px solid #444;
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}
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.result-section video, .result-section img {
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max-width: 80%;
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height: auto;
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display: block;
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margin: 10px auto;
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}
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footer {
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text-align: center;
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margin-top: 20px;
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}
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footer a {
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color: #009688;
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text-decoration: none;
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font-size: 18px;
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}
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footer a:hover {
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text-decoration: underline;
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}
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</style>
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<script>
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function switchLanguage(lang) {
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document.documentElement.lang = lang;
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if(lang === 'ko') {
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document.getElementById('title').innerText = '์ํฐ๋งํน ์ ํ๋ฆฌ์ผ์ด์
';
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document.getElementById('uploadVideoLabel').innerText = '๋น๋์ค ์
๋ก๋';
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document.getElementById('uploadImageLabel').innerText = '์ด๋ฏธ์ง ์
๋ก๋';
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document.getElementById('watermarkTextPlaceholder').placeholder = '์ํฐ๋งํฌ ํ
์คํธ';
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document.getElementById('submit').value = '์
๋ก๋';
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document.getElementById('dragDropTextVideo').innerText = '์ฌ๊ธฐ์ ๋น๋์ค ํ์ผ์ ๋๋กญํ์ธ์';
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document.getElementById('dragDropTextImage').innerText = '์ฌ๊ธฐ์ ์ด๋ฏธ์ง ํ์ผ์ ๋๋กญํ์ธ์';
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} else {
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document.getElementById('title').innerText = 'Watermark Application';
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114 |
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document.getElementById('uploadVideoLabel').innerText = 'Upload Video';
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115 |
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document.getElementById('uploadImageLabel').innerText = 'Upload Image';
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116 |
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document.getElementById('watermarkTextPlaceholder').placeholder = 'Watermark Text';
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117 |
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document.getElementById('submit').value = 'Upload';
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118 |
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document.getElementById('dragDropTextVideo').innerText = 'Drag & Drop your video here';
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119 |
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document.getElementById('dragDropTextImage').innerText = 'Drag & Drop your image here';
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120 |
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}
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121 |
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}
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122 |
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123 |
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document.addEventListener('DOMContentLoaded', function() {
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124 |
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var videoDropArea = document.getElementById('video-drop-area');
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125 |
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var imageDropArea = document.getElementById('image-drop-area');
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126 |
+
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127 |
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function preventDefaults(e) {
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128 |
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e.preventDefault();
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129 |
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e.stopPropagation();
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130 |
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}
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131 |
+
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132 |
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['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
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133 |
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videoDropArea.addEventListener(eventName, preventDefaults, false);
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134 |
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imageDropArea.addEventListener(eventName, preventDefaults, false);
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135 |
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});
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136 |
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137 |
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videoDropArea.addEventListener('click', () => document.getElementById('video_file').click());
|
138 |
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imageDropArea.addEventListener('click', () => document.getElementById('image_file').click());
|
139 |
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|
140 |
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document.getElementById('video_file').addEventListener('change', function(e) {
|
141 |
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var file = this.files[0];
|
142 |
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updatePreview(file, 'video-preview', 'video-drop-area');
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143 |
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});
|
144 |
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|
145 |
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document.getElementById('image_file').addEventListener('change', function(e) {
|
146 |
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var file = this.files[0];
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147 |
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updatePreview(file, 'image-preview', 'image-drop-area');
|
148 |
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});
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149 |
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150 |
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function updatePreview(file, previewId, dropAreaId) {
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151 |
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var preview = document.getElementById(previewId);
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152 |
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var dropArea = document.getElementById(dropAreaId);
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153 |
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154 |
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if (preview) {
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155 |
+
preview.remove();
|
156 |
+
}
|
157 |
+
|
158 |
+
if (file.type.startsWith('video/')) {
|
159 |
+
var video = document.createElement('video');
|
160 |
+
video.id = previewId;
|
161 |
+
video.src = URL.createObjectURL(file);
|
162 |
+
video.controls = true;
|
163 |
+
video.style.maxWidth = '100%';
|
164 |
+
video.style.height = 'auto';
|
165 |
+
dropArea.appendChild(video);
|
166 |
+
} else if (file.type.startsWith('image/')) {
|
167 |
+
var img = document.createElement('img');
|
168 |
+
img.id = previewId;
|
169 |
+
img.src = URL.createObjectURL(file);
|
170 |
+
img.style.maxWidth = '100%';
|
171 |
+
img.style.height = 'auto';
|
172 |
+
dropArea.appendChild(img);
|
173 |
+
}
|
174 |
+
}
|
175 |
+
|
176 |
+
document.querySelector('form').addEventListener('submit', function(event) {
|
177 |
+
event.preventDefault();
|
178 |
+
|
179 |
+
var formData = new FormData(this);
|
180 |
+
fetch('/upload', {
|
181 |
+
method: 'POST',
|
182 |
+
body: formData
|
183 |
+
})
|
184 |
+
.then(response => response.json())
|
185 |
+
.then(data => {
|
186 |
+
displayResults(data);
|
187 |
+
})
|
188 |
+
.catch(error => {
|
189 |
+
console.error('Error:', error);
|
190 |
+
});
|
191 |
+
});
|
192 |
+
|
193 |
+
function displayResults(data) {
|
194 |
+
var resultSection = document.getElementById('result');
|
195 |
+
resultSection.innerHTML = '';
|
196 |
+
|
197 |
+
if (data.original_url) {
|
198 |
+
var originalHeading = document.createElement('h2');
|
199 |
+
originalHeading.textContent = 'Original File';
|
200 |
+
resultSection.appendChild(originalHeading);
|
201 |
+
|
202 |
+
if (data.original_url.endsWith('png') || data.original_url.endsWith('jpg') || data.original_url.endsWith('jpeg')) {
|
203 |
+
var originalImg = document.createElement('img');
|
204 |
+
originalImg.src = `/uploads/${data.original_url}`;
|
205 |
+
originalImg.alt = 'Original Image';
|
206 |
+
resultSection.appendChild(originalImg);
|
207 |
+
} else {
|
208 |
+
var originalVideo = document.createElement('video');
|
209 |
+
originalVideo.src = `/uploads/${data.original_url}`;
|
210 |
+
originalVideo.controls = true;
|
211 |
+
resultSection.appendChild(originalVideo);
|
212 |
+
}
|
213 |
+
|
214 |
+
var originalLink = document.createElement('a');
|
215 |
+
originalLink.href = `/uploads/${data.original_url}`;
|
216 |
+
originalLink.textContent = 'Download Original';
|
217 |
+
originalLink.download = true;
|
218 |
+
resultSection.appendChild(originalLink);
|
219 |
+
}
|
220 |
+
|
221 |
+
if (data.watermarked_url) {
|
222 |
+
var watermarkedHeading = document.createElement('h2');
|
223 |
+
watermarkedHeading.textContent = 'Watermarked File';
|
224 |
+
resultSection.appendChild(watermarkedHeading);
|
225 |
+
|
226 |
+
if (data.watermarked_url.endsWith('png') || data.watermarked_url.endsWith('jpg') || data.watermarked_url.endsWith('jpeg')) {
|
227 |
+
var watermarkedImg = document.createElement('img');
|
228 |
+
watermarkedImg.src = `/results/${data.watermarked_url}`;
|
229 |
+
watermarkedImg.alt = 'Watermarked Image';
|
230 |
+
resultSection.appendChild(watermarkedImg);
|
231 |
+
} else {
|
232 |
+
var watermarkedVideo = document.createElement('video');
|
233 |
+
watermarkedVideo.src = `/results/${data.watermarked_url}`;
|
234 |
+
watermarkedVideo.controls = true;
|
235 |
+
resultSection.appendChild(watermarkedVideo);
|
236 |
+
}
|
237 |
+
|
238 |
+
var watermarkedLink = document.createElement('a');
|
239 |
+
watermarkedLink.href = `/results/${data.watermarked_url}`;
|
240 |
+
watermarkedLink.textContent = 'Download Watermarked';
|
241 |
+
watermarkedLink.download = true;
|
242 |
+
resultSection.appendChild(watermarkedLink);
|
243 |
+
}
|
244 |
+
|
245 |
+
if (data.extracted_url) {
|
246 |
+
var extractedHeading = document.createElement('h2');
|
247 |
+
extractedHeading.textContent = 'Extracted Watermark';
|
248 |
+
resultSection.appendChild(extractedHeading);
|
249 |
+
|
250 |
+
if (data.extracted_url.endsWith('png') || data.extracted_url.endsWith('jpg') || data.extracted_url.endsWith('jpeg')) {
|
251 |
+
var extractedImg = document.createElement('img');
|
252 |
+
extractedImg.src = `/extracts/${data.extracted_url}`;
|
253 |
+
extractedImg.alt = 'Extracted Watermark Image';
|
254 |
+
resultSection.appendChild(extractedImg);
|
255 |
+
} else {
|
256 |
+
var extractedVideo = document.createElement('video');
|
257 |
+
extractedVideo.src = `/extracts/${data.extracted_url}`;
|
258 |
+
extractedVideo.controls = true;
|
259 |
+
resultSection.appendChild(extractedVideo);
|
260 |
+
}
|
261 |
+
|
262 |
+
var extractedLink = document.createElement('a');
|
263 |
+
extractedLink.href = `/extracts/${data.extracted_url}`;
|
264 |
+
extractedLink.textContent = 'Download Extracted';
|
265 |
+
extractedLink.download = true;
|
266 |
+
resultSection.appendChild(extractedLink);
|
267 |
+
}
|
268 |
+
}
|
269 |
+
});
|
270 |
+
</script>
|
271 |
+
</head>
|
272 |
+
<body>
|
273 |
+
<nav>
|
274 |
+
<a href="#" onclick="switchLanguage('en')">English</a> | <a href="#" onclick="switchLanguage('ko')">ํ๊ตญ์ด</a>
|
275 |
+
</nav>
|
276 |
+
<h1 id="title">Watermark Application</h1>
|
277 |
+
<div class="container">
|
278 |
+
<div id="video-drop-area" class="upload-area">
|
279 |
+
<p id="dragDropTextVideo">Drag & Drop your video here</p>
|
280 |
+
<p>or</p>
|
281 |
+
<p>Click to select a file</p>
|
282 |
+
</div>
|
283 |
+
<div id="image-drop-area" class="upload-area">
|
284 |
+
<p id="dragDropTextImage">Drag & Drop your image here</p>
|
285 |
+
<p>or</p>
|
286 |
+
<p>Click to select a file</p>
|
287 |
+
</div>
|
288 |
+
</div>
|
289 |
+
<div class="container">
|
290 |
+
<form action="/upload" method="post" enctype="multipart/form-data">
|
291 |
+
<input type="file" id="video_file" name="video" accept="video/*" style="display: none;">
|
292 |
+
<input type="file" id="image_file" name="image" accept="image/*" style="display: none;">
|
293 |
+
<input type="text" id="watermarkTextPlaceholder" name="text" placeholder="Watermark Text">
|
294 |
+
<input type="file" id="watermark_image" name="watermark_image" accept="image/*" style="display: none;">
|
295 |
+
<label for="watermark_image" id="uploadWatermarkImageLabel" style="cursor: pointer;">Upload Watermark Image</label>
|
296 |
+
<input type="submit" id="submit" value="Upload">
|
297 |
+
</form>
|
298 |
+
</div>
|
299 |
+
|
300 |
+
<section class="result-section" id="result"></section>
|
301 |
+
|
302 |
+
<footer>
|
303 |
+
<a href="{{ url_for('index') }}">Go to Main Page</a>
|
304 |
+
</footer>
|
305 |
+
</body>
|
306 |
+
</html>
|
foren/templates/netlify.toml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[build]
|
2 |
+
publish = "frontend"
|
3 |
+
command = "echo 'Skipping build step'"
|
4 |
+
|
5 |
+
[[redirects]]
|
6 |
+
from = "/*"
|
7 |
+
to = "/index.html"
|
8 |
+
status = 200
|
foren/utils.py
ADDED
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import numpy as np
|
2 |
+
import cv2
|
3 |
+
import random
|
4 |
+
from concurrent.futures import ThreadPoolExecutor
|
5 |
+
import os
|
6 |
+
|
7 |
+
# ๊ณตํต ์ ํธ๋ฆฌํฐ ํจ์
|
8 |
+
def resize_image(img, shape):
|
9 |
+
return cv2.resize(img, (shape[1], shape[0]), interpolation=cv2.INTER_LINEAR)
|
10 |
+
|
11 |
+
def text_to_image(text, img_shape, font=cv2.FONT_HERSHEY_SIMPLEX, font_scale=3, thickness=5):
|
12 |
+
text_size = cv2.getTextSize(text, font, font_scale, thickness)[0]
|
13 |
+
text_x = (img_shape[1] - text_size[0]) // 2
|
14 |
+
text_y = (img_shape[0] + text_size[1]) // 2
|
15 |
+
|
16 |
+
img_wm = np.zeros(img_shape, dtype=np.uint8)
|
17 |
+
cv2.putText(img_wm, text, (text_x, text_y), font, font_scale, (255, 255, 255), thickness)
|
18 |
+
|
19 |
+
return img_wm
|
20 |
+
|
21 |
+
# ์ด๋ฏธ์ง ์ํฐ๋งํฌ ํจ์
|
22 |
+
def apply_watermark(img, text_or_image_path, alpha=5, use_image=False):
|
23 |
+
height, width = img.shape[:2]
|
24 |
+
if use_image and os.path.exists(text_or_image_path):
|
25 |
+
img_wm = cv2.imread(text_or_image_path, cv2.IMREAD_GRAYSCALE)
|
26 |
+
img_wm = resize_image(img_wm, (height, width))
|
27 |
+
else:
|
28 |
+
img_wm = text_to_image(text_or_image_path, (height, width))
|
29 |
+
|
30 |
+
img_f = np.fft.fft2(img)
|
31 |
+
|
32 |
+
y_random_indices, x_random_indices = list(range(height)), list(range(width))
|
33 |
+
random.seed(2021)
|
34 |
+
random.shuffle(x_random_indices)
|
35 |
+
random.shuffle(y_random_indices)
|
36 |
+
|
37 |
+
random_wm = np.zeros(img.shape, dtype=np.uint8)
|
38 |
+
|
39 |
+
for y in range(height):
|
40 |
+
for x in range(width):
|
41 |
+
random_wm[y_random_indices[y], x_random_indices[x]] = img_wm[y, x]
|
42 |
+
|
43 |
+
result_f = img_f + alpha * random_wm
|
44 |
+
|
45 |
+
result = np.fft.ifft2(result_f)
|
46 |
+
result = np.real(result)
|
47 |
+
result = result.astype(np.uint8)
|
48 |
+
|
49 |
+
return result
|
50 |
+
|
51 |
+
# ๋น๋์ค ์ํฐ๋งํฌ ํจ์
|
52 |
+
def process_video(input_path, output_path, process_function, *args, frame_skip=1):
|
53 |
+
try:
|
54 |
+
cap = cv2.VideoCapture(input_path)
|
55 |
+
fourcc = cv2.VideoWriter_fourcc(*'XVID')
|
56 |
+
fps = cap.get(cv2.CAP_PROP_FPS)
|
57 |
+
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
|
58 |
+
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
|
59 |
+
out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
|
60 |
+
|
61 |
+
frame_idx = 0
|
62 |
+
with ThreadPoolExecutor() as executor:
|
63 |
+
futures = []
|
64 |
+
while cap.isOpened():
|
65 |
+
ret, frame = cap.read()
|
66 |
+
if not ret:
|
67 |
+
break
|
68 |
+
|
69 |
+
if frame_idx % frame_skip == 0:
|
70 |
+
futures.append(executor.submit(process_function, frame, *args))
|
71 |
+
frame_idx += 1
|
72 |
+
|
73 |
+
for future in futures:
|
74 |
+
processed_frame = future.result()
|
75 |
+
out.write(processed_frame)
|
76 |
+
|
77 |
+
cap.release()
|
78 |
+
out.release()
|
79 |
+
except Exception as e:
|
80 |
+
print(f"Error processing video: {e}")
|
81 |
+
|
82 |
+
def apply_watermark_to_video(input_path, output_path, text_or_image_path, frame_skip=1, use_image=False):
|
83 |
+
process_video(input_path, output_path, apply_watermark, text_or_image_path, frame_skip, use_image)
|