Repository: yuvraj108c/4k-video-upscaler-colab
Branch: main
Commit: 99c990dbc6fa
Files: 3
Total size: 9.4 KB
Directory structure:
gitextract_3aww8wgx/
├── .github/
│ └── FUNDING.yml
├── 4k_Video_Upscaler_Colab_(Real_ESRGAN).ipynb
└── README.md
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FILE CONTENTS
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FILE: .github/FUNDING.yml
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github: yuvraj108c
custom: ["https://paypal.me/yuvraj108c", "https://buymeacoffee.com/yuvraj108cZ"]
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FILE: 4k_Video_Upscaler_Colab_(Real_ESRGAN).ipynb
================================================
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"authorship_tag": "ABX9TyPUAre5beb+ZXuBaeRDGgx7",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/yuvraj108c/4k-video-upscaler-colab/blob/main/4k_Video_Upscaler_Colab_(Real_ESRGAN).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# 4k Video Upscaler Colab (Real-ESRGAN)\n",
"\n",
"Adapted from: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)\n",
"\n",
"Made with ❤️ by: [yuvraj108c](https://github.com/yuvraj108c)\n",
"\n",
"Github repository: https://github.com/yuvraj108c/4k-video-upscaler-colab"
],
"metadata": {
"id": "zEksijsOSulF"
}
},
{
"cell_type": "markdown",
"source": [
"# 1. Setup (~1 minute)"
],
"metadata": {
"id": "Jt28DQ93QK5Z"
}
},
{
"cell_type": "code",
"source": [
"import torch\n",
"assert torch.cuda.is_available(), \"GPU not detected.. Please change runtime to GPU\"\n",
"\n",
"from PIL import Image\n",
"import cv2, os, subprocess\n",
"from tqdm import tqdm\n",
"\n",
"!git clone https://github.com/xinntao/Real-ESRGAN.git\n",
"%cd Real-ESRGAN\n",
"\n",
"!pip install -q torch==2.0.1 torchvision==0.15.2 --extra-index-url https://download.pytorch.org/whl/cu118\n",
"!pip install -q basicsr facexlib gfpgan ffmpeg ffmpeg-python\n",
"!pip install -q -r requirements.txt\n",
"!python setup.py develop\n",
"\n",
"!pip install \"numpy<2\"\n",
"mount_drive = False"
],
"metadata": {
"id": "kzcD1CMyQtbv"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"\n",
"# 2. Mount drive (optional)"
],
"metadata": {
"id": "kRdP_e_rdWrr"
}
},
{
"cell_type": "code",
"source": [
"from google.colab import drive\n",
"mount_drive=False #@param{type:\"boolean\"}\n",
"\n",
"if mount_drive:\n",
" drive.mount('/content/gdrive/')"
],
"metadata": {
"cellView": "form",
"id": "vdYKV-kKdKNf"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# 3. Upscale video\n",
"\n",
"- The upscaled video will be saved to `output_dir`\n",
"- If google drive is mounted, it will be also saved at `MyDrive/Upscaled Videos (REAL-ESRGAN)`\n"
],
"metadata": {
"id": "mZZPG007SB4A"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "NX2v5PH9O7Sw"
},
"outputs": [],
"source": [
"video_path=\"/content/video.mp4\" #@param{type:\"string\"}\n",
"output_dir=\"/content/\" #@param{type:\"string\"}\n",
"resolution = \"FHD (1920 x 1080)\" # @param [\"FHD (1920 x 1080)\", \"2k (2560 x 1440)\", \"4k (3840 x 2160)\",\"2 x original\", \"3 x original\", \"4 x original\"] {type:\"string\"}\n",
"model = \"RealESRGAN_x4plus\" #@param [\"RealESRGAN_x4plus\" , \"RealESRGAN_x4plus_anime_6B\", \"realesr-animevideov3\"]\n",
"\n",
"assert os.path.exists(video_path), \"Video file does not exist\"\n",
"\n",
"video_capture = cv2.VideoCapture(video_path)\n",
"video_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
"video_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
"\n",
"final_width = None\n",
"final_height = None\n",
"aspect_ratio = float(video_width/video_height)\n",
"\n",
"# Get output resolutions\n",
"match resolution:\n",
" case \"FHD (1920 x 1080)\":\n",
" final_width=1920\n",
" final_height=1080\n",
" case \"2k (2560 x 1440)\":\n",
" final_width=2560\n",
" final_height=1440\n",
" case \"4k (3840 x 2160)\":\n",
" final_width=3840\n",
" final_height=2160\n",
" case \"2 x original\":\n",
" final_width=2*video_width\n",
" final_height=2*video_height\n",
" case \"3 x original\":\n",
" final_width=3*video_width\n",
" final_height=3*video_height\n",
" case \"4 x original\":\n",
" final_width=4*video_width\n",
" final_height=4*video_height\n",
"\n",
"if aspect_ratio == 1.0 and \"original\" not in resolution:\n",
" final_height = final_width\n",
"\n",
"if aspect_ratio < 1.0 and \"original\" not in resolution:\n",
" temp = final_width\n",
" final_width = final_height\n",
" final_height = temp\n",
"\n",
"scale_factor = max(final_width/video_width, final_height/video_height)\n",
"isEven = int(video_width * scale_factor) % 2 == 0 and int(video_height * scale_factor) % 2 == 0\n",
"\n",
"# scale_factor needs to be even\n",
"while isEven == False:\n",
" scale_factor += 0.01\n",
" isEven = int(video_width * scale_factor) % 2 == 0 and int(video_height * scale_factor) % 2 == 0\n",
"\n",
"print(f\"Upscaling from {video_width}x{video_height} to {final_width}x{final_height}, scale_factor={scale_factor}\")\n",
"\n",
"!python inference_realesrgan_video.py -n {model} -i '{video_path}' -o '{output_dir}' --outscale {scale_factor}\n",
"\n",
"video_name_with_ext = os.path.basename(video_path)\n",
"video_name = video_name_with_ext.replace(\".mp4\",\"\")\n",
"upscaled_video_path = f\"{output_dir}{video_name}_out.mp4\"\n",
"final_video_name = f\"{video_name}_upscaled_{final_width}_{final_height}.mp4\"\n",
"final_video_path = os.path.join(output_dir, final_video_name)\n",
"\n",
"# crop to fit\n",
"if \"original\" not in resolution:\n",
" print(\"Cropping to fit...\")\n",
" command = f\"ffmpeg -loglevel error -hwaccel cuda -y -i '{upscaled_video_path}' -c:v h264_nvenc -filter:v 'crop={final_width}:{final_height}:(in_w-{final_width})/2:(in_h-{final_height})/2' -c:v libx264 -pix_fmt yuv420p '{final_video_path}'\"\n",
" subprocess.run(command,shell=True)\n",
"else:\n",
" # final video path = upscaled video path\n",
" command = f\"cp '{upscaled_video_path}' '{final_video_path}'\"\n",
" subprocess.run(command,shell=True)\n",
"\n",
"print(f\"Upscaled video saved to: {final_video_path}\")\n",
"\n",
"# save to drive\n",
"if mount_drive:\n",
" drive_folder = \"MyDrive/Upscaled Videos (REAL-ESRGAN)\"\n",
" save_directory_drive = f\"/content/gdrive/{drive_folder}\"\n",
" os.makedirs(save_directory_drive, exist_ok=True)\n",
"\n",
" command = f\"cp '{final_video_path}' '{save_directory_drive}/{final_video_name}'\"\n",
" subprocess.run(command,shell=True)\n",
" print(f\"Saved to drive: /{drive_folder}/{final_video_name}\" )\n",
"\n",
"!rm \"{upscaled_video_path}\""
]
},
{
"cell_type": "markdown",
"source": [
"# 4. Disconnect runtime"
],
"metadata": {
"id": "XydAN-xZT0AS"
}
},
{
"cell_type": "code",
"source": [
"from google.colab import runtime\n",
"\n",
"disconnect_when_finish = False #@param{type:\"boolean\"}\n",
"\n",
"if disconnect_when_finish:\n",
" runtime.unassign()"
],
"metadata": {
"cellView": "form",
"id": "rIfUT_e9TqLp"
},
"execution_count": null,
"outputs": []
}
]
}
================================================
FILE: README.md
================================================
# 4k-Video-Upscaler-Colab-Real-ESRGAN
Upscale your videos up to 4k on free google colab using [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)
[](https://colab.research.google.com/github/yuvraj108c/4k-video-upscaler-colab/blob/main/4k_Video_Upscaler_Colab_(Real_ESRGAN).ipynb)
[](https://replicate.com/lucataco/real-esrgan-video)
## Models
- RealESRGAN_x4plus
- RealESRGAN_x4plus_anime_6B
- realesr-animevideov3
## ⭐ Support
If you like this project and wish to see updates and new features, please consider supporting me. It helps a lot!
[](https://www.buymeacoffee.com/yuvraj108cZ)
[](https://paypal.me/yuvraj108c)
gitextract_3aww8wgx/ ├── .github/ │ └── FUNDING.yml ├── 4k_Video_Upscaler_Colab_(Real_ESRGAN).ipynb └── README.md
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