File size: 6,651 Bytes
e2e3a88 2803f49 e2e3a88 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 | import gradio as gr
import cv2
import numpy as np
from PIL import Image
import tempfile
import os
def enhance_video(input_video, target_fps, upscale_factor, denoise_strength, sharpen_strength):
if input_video is None:
return None, "Silakan upload video terlebih dahulu"
try:
cap = cv2.VideoCapture(input_video)
original_fps = cap.get(cv2.CAP_PROP_FPS)
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
new_width = int(width * upscale_factor)
new_height = int(height * upscale_factor)
temp_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
output_path = temp_output.name
temp_output.close()
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_path, fourcc, target_fps, (new_width, new_height))
frame_interpolation_ratio = target_fps / original_fps
frames_buffer = []
frame_idx = 0
while True:
ret, frame = cap.read()
if not ret:
break
enhanced_frame = frame.copy()
if denoise_strength > 0:
enhanced_frame = cv2.fastNlMeansDenoisingColored(
enhanced_frame, None,
h=denoise_strength,
hColor=denoise_strength,
templateWindowSize=7,
searchWindowSize=21
)
if sharpen_strength > 0:
kernel = np.array([[-1,-1,-1],
[-1, 9 + sharpen_strength,-1],
[-1,-1,-1]])
enhanced_frame = cv2.filter2D(enhanced_frame, -1, kernel)
enhanced_frame = cv2.resize(enhanced_frame, (new_width, new_height),
interpolation=cv2.INTER_LANCZOS4)
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
lab = cv2.cvtColor(enhanced_frame, cv2.COLOR_BGR2LAB)
lab[:,:,0] = clahe.apply(lab[:,:,0])
enhanced_frame = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)
frames_buffer.append(enhanced_frame)
if len(frames_buffer) >= 2 and frame_interpolation_ratio > 1:
num_interpolated = int(frame_interpolation_ratio) - 1
for i in range(num_interpolated):
alpha = (i + 1) / (num_interpolated + 1)
interpolated = cv2.addWeighted(frames_buffer[-2], 1-alpha,
frames_buffer[-1], alpha, 0)
out.write(interpolated)
out.write(enhanced_frame)
if len(frames_buffer) > 2:
frames_buffer.pop(0)
frame_idx += 1
cap.release()
out.release()
status_msg = f"✅ Video berhasil diproses!\n"
status_msg += f"📊 Resolusi: {width}x{height} → {new_width}x{new_height}\n"
status_msg += f"🎬 FPS: {original_fps:.1f} → {target_fps}\n"
status_msg += f"📦 Total frames: {frame_count} → {frame_idx * int(frame_interpolation_ratio)}"
return output_path, status_msg
except Exception as e:
return None, f"❌ Error: {str(e)}"
def create_demo():
with gr.Blocks(title="Ultra Video Enhancer 4D Pro") as demo:
gr.Markdown("""
# 🎬 Ultra Video Enhancer 4D Pro
### Tingkatkan kualitas video Anda dengan AI Enhancement
**Fitur:**
- 🎯 Upscaling hingga 4x resolusi
- 🚀 Frame interpolation hingga 240 FPS
- ✨ AI Denoising & Sharpening
- 🎨 Adaptive contrast enhancement
- 💎 Super resolution dengan Lanczos4
""")
with gr.Row():
with gr.Column():
input_video = gr.Video(label="📥 Upload Video")
with gr.Accordion("⚙️ Pengaturan Enhancement", open=True):
target_fps = gr.Slider(
minimum=24, maximum=240, value=60, step=1,
label="🎬 Target FPS",
info="Frame rate output (24-240 FPS)"
)
upscale_factor = gr.Slider(
minimum=1.0, maximum=4.0, value=2.0, step=0.5,
label="📐 Upscale Factor",
info="Tingkatkan resolusi (1x-4x)"
)
denoise_strength = gr.Slider(
minimum=0, maximum=20, value=5, step=1,
label="🧹 Denoise Strength",
info="Kurangi noise (0=off, 20=max)"
)
sharpen_strength = gr.Slider(
minimum=0, maximum=5, value=2, step=1,
label="✨ Sharpen Strength",
info="Pertajam detail (0=off, 5=max)"
)
enhance_btn = gr.Button("🚀 Enhance Video", variant="primary", size="lg")
with gr.Column():
output_video = gr.Video(label="📤 Enhanced Video")
status_text = gr.Textbox(label="📊 Status", lines=5)
gr.Markdown("""
### 💡 Tips:
- Video pendek (<30 detik) akan diproses lebih cepat
- Upscale 2x dengan 60 FPS memberikan hasil optimal
- Denoise berguna untuk video dengan noise/grain
- Sharpen meningkatkan ketajaman edge dan detail
### ⚡ Preset Rekomendasi:
- **Balanced**: FPS=60, Upscale=2x, Denoise=5, Sharpen=2
- **Ultra Quality**: FPS=120, Upscale=3x, Denoise=8, Sharpen=3
- **Speed**: FPS=30, Upscale=1.5x, Denoise=3, Sharpen=1
""")
enhance_btn.click(
fn=enhance_video,
inputs=[input_video, target_fps, upscale_factor, denoise_strength, sharpen_strength],
outputs=[output_video, status_text]
)
return demo
if __name__ == "__main__":
demo = create_demo()
demo.launch()
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