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Upload 29 files
Browse files- app.py +158 -0
- gfpgan/.DS_Store +0 -0
- gfpgan/weights/detection_Resnet50_Final.pth +3 -0
- gfpgan/weights/parsing_parsenet.pth +3 -0
- models/GFPGANv1.4.pth +3 -0
- models/inswapper_128.onnx +3 -0
- mypy.ini +7 -0
- requirements-headless.txt +13 -0
- requirements.txt +18 -0
- roop/.DS_Store +0 -0
- roop/__init__.py +0 -0
- roop/capturer.py +20 -0
- roop/core.py +219 -0
- roop/face_analyser.py +34 -0
- roop/globals.py +17 -0
- roop/metadata.py +2 -0
- roop/predicter.py +19 -0
- roop/processors/.DS_Store +0 -0
- roop/processors/__init__.py +0 -0
- roop/processors/frame/.DS_Store +0 -0
- roop/processors/frame/__init__.py +0 -0
- roop/processors/frame/core.py +95 -0
- roop/processors/frame/face_enhancer.py +89 -0
- roop/processors/frame/face_swapper.py +90 -0
- roop/typing.py +7 -0
- roop/ui.json +158 -0
- roop/ui.py +231 -0
- roop/utilities.py +141 -0
- themes.py +55 -0
app.py
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import numpy as np
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import gradio as gr
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import roop.globals
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from roop.core import (
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start,
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decode_execution_providers,
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suggest_max_memory,
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suggest_execution_threads,
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)
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.utilities import normalize_output_path
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import os
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from PIL import Image
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from themes import IndonesiaTheme # Impor tema custom dari themes.py
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def swap_face(source_file, target_file, doFaceEnhancer):
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source_path = "input.jpg"
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target_path = "target.jpg"
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# Simpan gambar sumber dan target
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source_image = Image.fromarray(source_file)
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source_image.save(source_path)
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target_image = Image.fromarray(target_file)
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target_image.save(target_path)
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print("[-] source_path: ", source_path)
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print("[-] target_path: ", target_path)
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# Pengaturan globals untuk proses
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roop.globals.source_path = source_path
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roop.globals.target_path = target_path
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output_path = "output.jpg"
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roop.globals.output_path = normalize_output_path(
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roop.globals.source_path, roop.globals.target_path, output_path
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)
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# Pilih processor yang digunakan
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if doFaceEnhancer:
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roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
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else:
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roop.globals.frame_processors = ["face_swapper"]
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roop.globals.headless = True
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roop.globals.keep_fps = True
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roop.globals.keep_audio = True
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roop.globals.keep_frames = False
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roop.globals.many_faces = False
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roop.globals.video_encoder = "libx264"
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roop.globals.video_quality = 18
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roop.globals.max_memory = suggest_max_memory()
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roop.globals.execution_providers = decode_execution_providers(["cuda"])
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roop.globals.execution_threads = suggest_execution_threads()
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print(
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"[-] Proses dimulai..",
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roop.globals.source_path,
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roop.globals.target_path,
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roop.globals.output_path,
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)
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# Pre-check frame processor
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for frame_processor in get_frame_processors_modules(
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roop.globals.frame_processors
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):
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if not frame_processor.pre_check():
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return None, "Proses gagal, pre-check tidak berhasil."
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# Mulai proses
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start()
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# Setelah selesai, hapus file sementara
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try:
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os.remove(source_path)
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os.remove(target_path)
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print("[-] File input, target, dan output telah dihapus.")
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except Exception as e:
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print(f"[!] Gagal menghapus file: {e}")
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return None, "Proses berhasil, namun ada masalah saat menghapus file."
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return output_path, "Proses berhasil, 🥹 wajah telah ditukar. 🥰 Mantap banget ya!!."
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# CSS untuk styling antarmuka
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css = """
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#col-left, #col-mid, #col-right {
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margin: 0 auto;
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max-width: 400px;
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padding: 10px;
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border-radius: 15px;
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background-color: #f9f9f9;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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}
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#banner {
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width: 100%;
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text-align: center;
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margin-bottom: 20px;
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}
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#run-button {
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background-color: #ff4b5c;
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color: white;
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font-weight: bold;
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padding: 10px;
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border-radius: 10px;
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cursor: pointer;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
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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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color: silver;
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}
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"""
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# Membuat antarmuka Gradio dengan tema IndonesiaTheme
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with gr.Blocks(css=css, theme=IndonesiaTheme()) as TukarWajah:
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# Tambahkan banner
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gr.HTML("""
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<div style='text-align: center;'>
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<div><h1>Selamat Datang di Aplikasi Tukar Wajah</h1></div>
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<div><p>Unggah gambar sumber dan target untuk melakukan pertukaran wajah. Anda juga dapat menggunakan fitur Face Enhancer jika diinginkan.</p></div>
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<img src='https://i.ibb.co.com/Snwc7Lb/banner-tw.jpg' alt='Banner' style='width: 100%; height: auto;'/>
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</div>
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""")
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# Layout dua kolom
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with gr.Row():
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with gr.Column(elem_id="col-left"):
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gr.Markdown("### 🖼️ Unggah Foto Wajah Sumber")
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source_image = gr.Image(label="Gambar Sumber", type="numpy")
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with gr.Column(elem_id="col-right"):
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gr.Markdown("### 🖼️ Unggah Foto Target")
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target_image = gr.Image(label="Gambar Target", type="numpy")
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# Output di bawah kolom
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with gr.Row():
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result_image = gr.Image(label="🖼️ Hasil Pertukaran Wajah")
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status_output = gr.Textbox(label="Status Proses")
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# Checkbox dan tombol untuk memulai proses
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gr.Markdown("### ✅ Gunakan fitur ini untuk hasil maksimal.")
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doFaceEnhancer = gr.Checkbox(label="Gunakan Face Enhancer?", value=False)
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run_button = gr.Button(value="⭐ Mulai Proses Pertukaran Wajah ⭐", elem_id="run-button")
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run_button.click(fn=swap_face, inputs=[source_image, target_image, doFaceEnhancer], outputs=[result_image, status_output])
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# Tambahkan footer di bagian bawah
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gr.HTML("""
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<footer id="footer">
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Transfer Energi Semesta Digital © 2024 __drat. | 🇮🇩 Untuk Indonesia Jaya!
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</footer>
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""")
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# Menjalankan aplikasi
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if __name__ == "__main__":
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TukarWajah.queue(api_open=False).launch(show_api=False)
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gfpgan/.DS_Store
ADDED
Binary file (6.15 kB). View file
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gfpgan/weights/detection_Resnet50_Final.pth
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:6d1de9c2944f2ccddca5f5e010ea5ae64a39845a86311af6fdf30841b0a5a16d
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size 109497761
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gfpgan/weights/parsing_parsenet.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d558d8d0e42c20224f13cf5a29c79eba2d59913419f945545d8cf7b72920de2
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size 85331193
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models/GFPGANv1.4.pth
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:e2cd4703ab14f4d01fd1383a8a8b266f9a5833dacee8e6a79d3bf21a1b6be5ad
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3 |
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size 348632874
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models/inswapper_128.onnx
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:e4a3f08c753cb72d04e10aa0f7dbe3deebbf39567d4ead6dce08e98aa49e16af
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3 |
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size 554253681
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mypy.ini
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[mypy]
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check_untyped_defs = True
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disallow_any_generics = True
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disallow_untyped_calls = True
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disallow_untyped_defs = True
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ignore_missing_imports = True
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strict_optional = False
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requirements-headless.txt
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numpy==1.24.3
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opencv-python==4.8.0.74
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onnx==1.14.0
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insightface==0.7.3
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psutil==5.9.5
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tk==0.1.0
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customtkinter==5.2.0
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tkinterdnd2==0.3.0
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onnxruntime==1.15.0
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tensorflow==2.13.0
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opennsfw2==0.10.2
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protobuf==4.23.4
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tqdm==4.65.0
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requirements.txt
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--extra-index-url https://download.pytorch.org/whl/cu118
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numpy==1.24.3
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opencv-python==4.8.0.74
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onnx==1.14.0
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insightface==0.7.3
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psutil==5.9.5
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tk==0.1.0
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customtkinter==5.2.0
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tkinterdnd2==0.3.0; sys_platform != 'darwin' and platform_machine != 'arm64'
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tkinterdnd2-universal==1.7.3; sys_platform == 'darwin' and platform_machine == 'arm64'
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pillow==10.0.0
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onnxruntime-gpu==1.15.1; sys_platform != 'darwin'
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tensorflow==2.13.0
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opennsfw2==0.10.2
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protobuf==4.23.4
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tqdm==4.65.0
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gfpgan==1.3.8
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roop/.DS_Store
ADDED
Binary file (6.15 kB). View file
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roop/__init__.py
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File without changes
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roop/capturer.py
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from typing import Any
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import cv2
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def get_video_frame(video_path: str, frame_number: int = 0) -> Any:
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capture = cv2.VideoCapture(video_path)
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frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
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capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
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has_frame, frame = capture.read()
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capture.release()
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if has_frame:
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return frame
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return None
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def get_video_frame_total(video_path: str) -> int:
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capture = cv2.VideoCapture(video_path)
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video_frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
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capture.release()
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return video_frame_total
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roop/core.py
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|
|
1 |
+
#!/usr/bin/env python3
|
2 |
+
|
3 |
+
import os
|
4 |
+
import sys
|
5 |
+
# single thread doubles cuda performance - needs to be set before torch import
|
6 |
+
if any(arg.startswith('--execution-provider') for arg in sys.argv):
|
7 |
+
os.environ['OMP_NUM_THREADS'] = '1'
|
8 |
+
# reduce tensorflow log level
|
9 |
+
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
|
10 |
+
import warnings
|
11 |
+
from typing import List
|
12 |
+
import platform
|
13 |
+
import signal
|
14 |
+
import shutil
|
15 |
+
import argparse
|
16 |
+
import torch
|
17 |
+
import onnxruntime
|
18 |
+
import tensorflow
|
19 |
+
|
20 |
+
import roop.globals
|
21 |
+
import roop.metadata
|
22 |
+
import roop.ui as ui
|
23 |
+
from roop.predicter import predict_image, predict_video
|
24 |
+
from roop.processors.frame.core import get_frame_processors_modules
|
25 |
+
from roop.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path
|
26 |
+
|
27 |
+
if 'ROCMExecutionProvider' in roop.globals.execution_providers:
|
28 |
+
del torch
|
29 |
+
|
30 |
+
warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
|
31 |
+
warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
|
32 |
+
|
33 |
+
|
34 |
+
def parse_args() -> None:
|
35 |
+
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
|
36 |
+
program = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=100))
|
37 |
+
program.add_argument('-s', '--source', help='select an source image', dest='source_path')
|
38 |
+
program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
|
39 |
+
program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
|
40 |
+
program.add_argument('--frame-processor', help='frame processors (choices: face_swapper, face_enhancer, ...)', dest='frame_processor', default=['face_swapper'], nargs='+')
|
41 |
+
program.add_argument('--keep-fps', help='keep original fps', dest='keep_fps', action='store_true', default=False)
|
42 |
+
program.add_argument('--keep-audio', help='keep original audio', dest='keep_audio', action='store_true', default=True)
|
43 |
+
program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true', default=False)
|
44 |
+
program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False)
|
45 |
+
program.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9'])
|
46 |
+
program.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]')
|
47 |
+
program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory())
|
48 |
+
program.add_argument('--execution-provider', help='available execution provider (choices: cpu, ...)', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
|
49 |
+
program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
|
50 |
+
program.add_argument('-v', '--version', action='version', version=f'{roop.metadata.name} {roop.metadata.version}')
|
51 |
+
|
52 |
+
args = program.parse_args()
|
53 |
+
|
54 |
+
roop.globals.source_path = args.source_path
|
55 |
+
roop.globals.target_path = args.target_path
|
56 |
+
roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path)
|
57 |
+
roop.globals.frame_processors = args.frame_processor
|
58 |
+
roop.globals.headless = args.source_path or args.target_path or args.output_path
|
59 |
+
roop.globals.keep_fps = args.keep_fps
|
60 |
+
roop.globals.keep_audio = args.keep_audio
|
61 |
+
roop.globals.keep_frames = args.keep_frames
|
62 |
+
roop.globals.many_faces = args.many_faces
|
63 |
+
roop.globals.video_encoder = args.video_encoder
|
64 |
+
roop.globals.video_quality = args.video_quality
|
65 |
+
roop.globals.max_memory = args.max_memory
|
66 |
+
roop.globals.execution_providers = decode_execution_providers(args.execution_provider)
|
67 |
+
roop.globals.execution_threads = args.execution_threads
|
68 |
+
|
69 |
+
|
70 |
+
def encode_execution_providers(execution_providers: List[str]) -> List[str]:
|
71 |
+
return [execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers]
|
72 |
+
|
73 |
+
|
74 |
+
def decode_execution_providers(execution_providers: List[str]) -> List[str]:
|
75 |
+
return [provider for provider, encoded_execution_provider in zip(onnxruntime.get_available_providers(), encode_execution_providers(onnxruntime.get_available_providers()))
|
76 |
+
if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
|
77 |
+
|
78 |
+
|
79 |
+
def suggest_max_memory() -> int:
|
80 |
+
if platform.system().lower() == 'darwin':
|
81 |
+
return 4
|
82 |
+
return 16
|
83 |
+
|
84 |
+
|
85 |
+
def suggest_execution_providers() -> List[str]:
|
86 |
+
return encode_execution_providers(onnxruntime.get_available_providers())
|
87 |
+
|
88 |
+
|
89 |
+
def suggest_execution_threads() -> int:
|
90 |
+
if 'DmlExecutionProvider' in roop.globals.execution_providers:
|
91 |
+
return 1
|
92 |
+
if 'ROCMExecutionProvider' in roop.globals.execution_providers:
|
93 |
+
return 1
|
94 |
+
return 8
|
95 |
+
|
96 |
+
|
97 |
+
def limit_resources() -> None:
|
98 |
+
# prevent tensorflow memory leak
|
99 |
+
gpus = tensorflow.config.experimental.list_physical_devices('GPU')
|
100 |
+
for gpu in gpus:
|
101 |
+
tensorflow.config.experimental.set_virtual_device_configuration(gpu, [
|
102 |
+
tensorflow.config.experimental.VirtualDeviceConfiguration(memory_limit=1024)
|
103 |
+
])
|
104 |
+
# limit memory usage
|
105 |
+
if roop.globals.max_memory:
|
106 |
+
memory = roop.globals.max_memory * 1024 ** 3
|
107 |
+
if platform.system().lower() == 'darwin':
|
108 |
+
memory = roop.globals.max_memory * 1024 ** 6
|
109 |
+
if platform.system().lower() == 'windows':
|
110 |
+
import ctypes
|
111 |
+
kernel32 = ctypes.windll.kernel32
|
112 |
+
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
|
113 |
+
else:
|
114 |
+
import resource
|
115 |
+
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
|
116 |
+
|
117 |
+
|
118 |
+
def release_resources() -> None:
|
119 |
+
if 'CUDAExecutionProvider' in roop.globals.execution_providers:
|
120 |
+
torch.cuda.empty_cache()
|
121 |
+
|
122 |
+
|
123 |
+
def pre_check() -> bool:
|
124 |
+
if sys.version_info < (3, 9):
|
125 |
+
update_status('Python version is not supported - please upgrade to 3.9 or higher.')
|
126 |
+
return False
|
127 |
+
if not shutil.which('ffmpeg'):
|
128 |
+
update_status('ffmpeg is not installed.')
|
129 |
+
return False
|
130 |
+
return True
|
131 |
+
|
132 |
+
|
133 |
+
def update_status(message: str, scope: str = 'ROOP.CORE') -> None:
|
134 |
+
print(f'[{scope}] {message}')
|
135 |
+
if not roop.globals.headless:
|
136 |
+
ui.update_status(message)
|
137 |
+
|
138 |
+
|
139 |
+
|
140 |
+
|
141 |
+
def start() -> None:
|
142 |
+
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
|
143 |
+
if not frame_processor.pre_start():
|
144 |
+
return
|
145 |
+
# process image to image
|
146 |
+
if has_image_extension(roop.globals.target_path):
|
147 |
+
if predict_image(roop.globals.target_path):
|
148 |
+
destroy()
|
149 |
+
shutil.copy2(roop.globals.target_path, roop.globals.output_path)
|
150 |
+
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
|
151 |
+
for frame_processor_name in roop.globals.frame_processors:
|
152 |
+
if frame_processor_name == frame_processor.frame_name:
|
153 |
+
update_status('Progressing...', frame_processor.NAME)
|
154 |
+
frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
|
155 |
+
frame_processor.post_process()
|
156 |
+
release_resources()
|
157 |
+
if is_image(roop.globals.target_path):
|
158 |
+
update_status('Processing to image succeed!')
|
159 |
+
else:
|
160 |
+
update_status('Processing to image failed!')
|
161 |
+
return
|
162 |
+
# process image to videos
|
163 |
+
if predict_video(roop.globals.target_path):
|
164 |
+
destroy()
|
165 |
+
update_status('Creating temp resources...')
|
166 |
+
create_temp(roop.globals.target_path)
|
167 |
+
update_status('Extracting frames...')
|
168 |
+
extract_frames(roop.globals.target_path)
|
169 |
+
temp_frame_paths = get_temp_frame_paths(roop.globals.target_path)
|
170 |
+
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
|
171 |
+
update_status('Progressing...', frame_processor.NAME)
|
172 |
+
frame_processor.process_video(roop.globals.source_path, temp_frame_paths)
|
173 |
+
frame_processor.post_process()
|
174 |
+
release_resources()
|
175 |
+
# handles fps
|
176 |
+
if roop.globals.keep_fps:
|
177 |
+
update_status('Detecting fps...')
|
178 |
+
fps = detect_fps(roop.globals.target_path)
|
179 |
+
update_status(f'Creating video with {fps} fps...')
|
180 |
+
create_video(roop.globals.target_path, fps)
|
181 |
+
else:
|
182 |
+
update_status('Creating video with 30.0 fps...')
|
183 |
+
create_video(roop.globals.target_path)
|
184 |
+
# handle audio
|
185 |
+
if roop.globals.keep_audio:
|
186 |
+
if roop.globals.keep_fps:
|
187 |
+
update_status('Restoring audio...')
|
188 |
+
else:
|
189 |
+
update_status('Restoring audio might cause issues as fps are not kept...')
|
190 |
+
restore_audio(roop.globals.target_path, roop.globals.output_path)
|
191 |
+
else:
|
192 |
+
move_temp(roop.globals.target_path, roop.globals.output_path)
|
193 |
+
# clean and validate
|
194 |
+
clean_temp(roop.globals.target_path)
|
195 |
+
if is_video(roop.globals.target_path):
|
196 |
+
update_status('Processing to video succeed!')
|
197 |
+
else:
|
198 |
+
update_status('Processing to video failed!')
|
199 |
+
|
200 |
+
|
201 |
+
def destroy() -> None:
|
202 |
+
if roop.globals.target_path:
|
203 |
+
clean_temp(roop.globals.target_path)
|
204 |
+
quit()
|
205 |
+
|
206 |
+
|
207 |
+
def run() -> None:
|
208 |
+
parse_args()
|
209 |
+
if not pre_check():
|
210 |
+
return
|
211 |
+
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
|
212 |
+
if not frame_processor.pre_check():
|
213 |
+
return
|
214 |
+
limit_resources()
|
215 |
+
if roop.globals.headless:
|
216 |
+
start()
|
217 |
+
else:
|
218 |
+
window = ui.init(start, destroy)
|
219 |
+
window.mainloop()
|
roop/face_analyser.py
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import threading
|
2 |
+
from typing import Any
|
3 |
+
import insightface
|
4 |
+
|
5 |
+
import roop.globals
|
6 |
+
from roop.typing import Frame
|
7 |
+
|
8 |
+
FACE_ANALYSER = None
|
9 |
+
THREAD_LOCK = threading.Lock()
|
10 |
+
|
11 |
+
|
12 |
+
def get_face_analyser() -> Any:
|
13 |
+
global FACE_ANALYSER
|
14 |
+
|
15 |
+
with THREAD_LOCK:
|
16 |
+
if FACE_ANALYSER is None:
|
17 |
+
FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=roop.globals.execution_providers)
|
18 |
+
FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
|
19 |
+
return FACE_ANALYSER
|
20 |
+
|
21 |
+
|
22 |
+
def get_one_face(frame: Frame) -> Any:
|
23 |
+
face = get_face_analyser().get(frame)
|
24 |
+
try:
|
25 |
+
return min(face, key=lambda x: x.bbox[0])
|
26 |
+
except ValueError:
|
27 |
+
return None
|
28 |
+
|
29 |
+
|
30 |
+
def get_many_faces(frame: Frame) -> Any:
|
31 |
+
try:
|
32 |
+
return get_face_analyser().get(frame)
|
33 |
+
except IndexError:
|
34 |
+
return None
|
roop/globals.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from typing import List
|
2 |
+
|
3 |
+
source_path = None
|
4 |
+
target_path = None
|
5 |
+
output_path = None
|
6 |
+
frame_processors: List[str] = []
|
7 |
+
keep_fps = None
|
8 |
+
keep_audio = None
|
9 |
+
keep_frames = None
|
10 |
+
many_faces = None
|
11 |
+
video_encoder = None
|
12 |
+
video_quality = None
|
13 |
+
max_memory = None
|
14 |
+
execution_providers: List[str] = []
|
15 |
+
execution_threads = None
|
16 |
+
headless = None
|
17 |
+
log_level = 'error'
|
roop/metadata.py
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
name = 'roop'
|
2 |
+
version = '1.1.0'
|
roop/predicter.py
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import numpy
|
2 |
+
import opennsfw2
|
3 |
+
from PIL import Image
|
4 |
+
|
5 |
+
from roop.typing import Frame
|
6 |
+
|
7 |
+
MAX_PROBABILITY = 0.85
|
8 |
+
|
9 |
+
|
10 |
+
def predict_frame(target_frame: Frame) -> bool:
|
11 |
+
return False
|
12 |
+
|
13 |
+
|
14 |
+
def predict_image(target_path: str) -> bool:
|
15 |
+
return False
|
16 |
+
|
17 |
+
|
18 |
+
def predict_video(target_path: str) -> bool:
|
19 |
+
return False
|
roop/processors/.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
roop/processors/__init__.py
ADDED
File without changes
|
roop/processors/frame/.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
roop/processors/frame/__init__.py
ADDED
File without changes
|
roop/processors/frame/core.py
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import importlib
|
3 |
+
import psutil
|
4 |
+
from concurrent.futures import ThreadPoolExecutor, as_completed
|
5 |
+
from queue import Queue
|
6 |
+
from types import ModuleType
|
7 |
+
from typing import Any, List, Callable
|
8 |
+
from tqdm import tqdm
|
9 |
+
|
10 |
+
import roop
|
11 |
+
|
12 |
+
FRAME_PROCESSORS_MODULES: List[ModuleType] = []
|
13 |
+
FRAME_PROCESSORS_INTERFACE = [
|
14 |
+
'pre_check',
|
15 |
+
'pre_start',
|
16 |
+
'process_frame',
|
17 |
+
'process_frames',
|
18 |
+
'process_image',
|
19 |
+
'process_video',
|
20 |
+
'post_process'
|
21 |
+
]
|
22 |
+
|
23 |
+
|
24 |
+
def load_frame_processor_module(frame_processor: str) -> Any:
|
25 |
+
try:
|
26 |
+
frame_processor_module = importlib.import_module(f'roop.processors.frame.{frame_processor}')
|
27 |
+
for method_name in FRAME_PROCESSORS_INTERFACE:
|
28 |
+
if not hasattr(frame_processor_module, method_name):
|
29 |
+
raise NotImplementedError
|
30 |
+
except (ImportError, NotImplementedError):
|
31 |
+
quit(f'Frame processor {frame_processor} crashed.')
|
32 |
+
return frame_processor_module
|
33 |
+
|
34 |
+
|
35 |
+
def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType]:
|
36 |
+
global FRAME_PROCESSORS_MODULES
|
37 |
+
|
38 |
+
for frame_processor in frame_processors:
|
39 |
+
found = False
|
40 |
+
for frame_processor_module in FRAME_PROCESSORS_MODULES:
|
41 |
+
if frame_processor_module.frame_name == frame_processor:
|
42 |
+
found = True
|
43 |
+
break
|
44 |
+
if not found:
|
45 |
+
frame_processor_module = load_frame_processor_module(frame_processor)
|
46 |
+
FRAME_PROCESSORS_MODULES.append(frame_processor_module)
|
47 |
+
# if not FRAME_PROCESSORS_MODULES:
|
48 |
+
|
49 |
+
return FRAME_PROCESSORS_MODULES
|
50 |
+
|
51 |
+
|
52 |
+
def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], update: Callable[[], None]) -> None:
|
53 |
+
with ThreadPoolExecutor(max_workers=roop.globals.execution_threads) as executor:
|
54 |
+
futures = []
|
55 |
+
queue = create_queue(temp_frame_paths)
|
56 |
+
queue_per_future = len(temp_frame_paths) // roop.globals.execution_threads
|
57 |
+
while not queue.empty():
|
58 |
+
future = executor.submit(process_frames, source_path, pick_queue(queue, queue_per_future), update)
|
59 |
+
futures.append(future)
|
60 |
+
for future in as_completed(futures):
|
61 |
+
future.result()
|
62 |
+
|
63 |
+
|
64 |
+
def create_queue(temp_frame_paths: List[str]) -> Queue[str]:
|
65 |
+
queue: Queue[str] = Queue()
|
66 |
+
for frame_path in temp_frame_paths:
|
67 |
+
queue.put(frame_path)
|
68 |
+
return queue
|
69 |
+
|
70 |
+
|
71 |
+
def pick_queue(queue: Queue[str], queue_per_future: int) -> List[str]:
|
72 |
+
queues = []
|
73 |
+
for _ in range(queue_per_future):
|
74 |
+
if not queue.empty():
|
75 |
+
queues.append(queue.get())
|
76 |
+
return queues
|
77 |
+
|
78 |
+
|
79 |
+
def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
|
80 |
+
progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
|
81 |
+
total = len(frame_paths)
|
82 |
+
with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
|
83 |
+
multi_process_frame(source_path, frame_paths, process_frames, lambda: update_progress(progress))
|
84 |
+
|
85 |
+
|
86 |
+
def update_progress(progress: Any = None) -> None:
|
87 |
+
process = psutil.Process(os.getpid())
|
88 |
+
memory_usage = process.memory_info().rss / 1024 / 1024 / 1024
|
89 |
+
progress.set_postfix({
|
90 |
+
'memory_usage': '{:.2f}'.format(memory_usage).zfill(5) + 'GB',
|
91 |
+
'execution_providers': roop.globals.execution_providers,
|
92 |
+
'execution_threads': roop.globals.execution_threads
|
93 |
+
})
|
94 |
+
progress.refresh()
|
95 |
+
progress.update(1)
|
roop/processors/frame/face_enhancer.py
ADDED
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from typing import Any, List, Callable
|
2 |
+
import cv2
|
3 |
+
import threading
|
4 |
+
import gfpgan
|
5 |
+
|
6 |
+
import roop.globals
|
7 |
+
import roop.processors.frame.core
|
8 |
+
from roop.core import update_status
|
9 |
+
from roop.face_analyser import get_one_face
|
10 |
+
from roop.typing import Frame, Face
|
11 |
+
from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
|
12 |
+
import torch
|
13 |
+
|
14 |
+
FACE_ENHANCER = None
|
15 |
+
THREAD_SEMAPHORE = threading.Semaphore()
|
16 |
+
THREAD_LOCK = threading.Lock()
|
17 |
+
NAME = 'ROOP.FACE-ENHANCER'
|
18 |
+
frame_name = 'face_enhancer'
|
19 |
+
|
20 |
+
if torch.cuda.is_available():
|
21 |
+
device='cuda'
|
22 |
+
else:
|
23 |
+
device='cpu'
|
24 |
+
|
25 |
+
|
26 |
+
def get_face_enhancer() -> Any:
|
27 |
+
global FACE_ENHANCER
|
28 |
+
|
29 |
+
with THREAD_LOCK:
|
30 |
+
if FACE_ENHANCER is None:
|
31 |
+
model_path = resolve_relative_path('../models/GFPGANv1.4.pth')
|
32 |
+
# todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
|
33 |
+
FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1,device=device) # type: ignore[attr-defined]
|
34 |
+
return FACE_ENHANCER
|
35 |
+
|
36 |
+
|
37 |
+
def pre_check() -> bool:
|
38 |
+
download_directory_path = resolve_relative_path('../models')
|
39 |
+
# conditional_download(download_directory_path, ['https://huggingface.co/henryruhs/roop/resolve/main/GFPGANv1.4.pth'])
|
40 |
+
conditional_download(download_directory_path, ['https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth'])
|
41 |
+
return True
|
42 |
+
|
43 |
+
|
44 |
+
def pre_start() -> bool:
|
45 |
+
if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path):
|
46 |
+
update_status('Select an image or video for target path.', NAME)
|
47 |
+
return False
|
48 |
+
return True
|
49 |
+
|
50 |
+
|
51 |
+
def post_process() -> None:
|
52 |
+
global FACE_ENHANCER
|
53 |
+
|
54 |
+
FACE_ENHANCER = None
|
55 |
+
|
56 |
+
|
57 |
+
def enhance_face(temp_frame: Frame) -> Frame:
|
58 |
+
with THREAD_SEMAPHORE:
|
59 |
+
_, _, temp_frame = get_face_enhancer().enhance(
|
60 |
+
temp_frame,
|
61 |
+
paste_back=True
|
62 |
+
)
|
63 |
+
return temp_frame
|
64 |
+
|
65 |
+
|
66 |
+
def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
|
67 |
+
target_face = get_one_face(temp_frame)
|
68 |
+
if target_face:
|
69 |
+
temp_frame = enhance_face(temp_frame)
|
70 |
+
return temp_frame
|
71 |
+
|
72 |
+
|
73 |
+
def process_frames(source_path: str, temp_frame_paths: List[str], update: Callable[[], None]) -> None:
|
74 |
+
for temp_frame_path in temp_frame_paths:
|
75 |
+
temp_frame = cv2.imread(temp_frame_path)
|
76 |
+
result = process_frame(None, temp_frame)
|
77 |
+
cv2.imwrite(temp_frame_path, result)
|
78 |
+
if update:
|
79 |
+
update()
|
80 |
+
|
81 |
+
|
82 |
+
def process_image(source_path: str, target_path: str, output_path: str) -> None:
|
83 |
+
target_frame = cv2.imread(target_path)
|
84 |
+
result = process_frame(None, target_frame)
|
85 |
+
cv2.imwrite(output_path, result)
|
86 |
+
|
87 |
+
|
88 |
+
def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
|
89 |
+
roop.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
|
roop/processors/frame/face_swapper.py
ADDED
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from typing import Any, List, Callable
|
2 |
+
import cv2
|
3 |
+
import insightface
|
4 |
+
import threading
|
5 |
+
|
6 |
+
import roop.globals
|
7 |
+
import roop.processors.frame.core
|
8 |
+
from roop.core import update_status
|
9 |
+
from roop.face_analyser import get_one_face, get_many_faces
|
10 |
+
from roop.typing import Face, Frame
|
11 |
+
from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
|
12 |
+
|
13 |
+
|
14 |
+
FACE_SWAPPER = None
|
15 |
+
THREAD_LOCK = threading.Lock()
|
16 |
+
NAME = 'ROOP.FACE-SWAPPER'
|
17 |
+
frame_name = 'face_swapper'
|
18 |
+
|
19 |
+
def get_face_swapper() -> Any:
|
20 |
+
global FACE_SWAPPER
|
21 |
+
|
22 |
+
with THREAD_LOCK:
|
23 |
+
if FACE_SWAPPER is None:
|
24 |
+
model_path = resolve_relative_path('../models/inswapper_128.onnx')
|
25 |
+
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers)
|
26 |
+
return FACE_SWAPPER
|
27 |
+
|
28 |
+
|
29 |
+
def pre_check() -> bool:
|
30 |
+
download_directory_path = resolve_relative_path('../models')
|
31 |
+
# conditional_download(download_directory_path, ['https://huggingface.co/henryruhs/roop/resolve/main/inswapper_128.onnx'])
|
32 |
+
conditional_download(download_directory_path, ['https://huggingface.co/thebiglaskowski/inswapper_128.onnx/resolve/main/inswapper_128.onnx'])
|
33 |
+
return True
|
34 |
+
|
35 |
+
|
36 |
+
def pre_start() -> bool:
|
37 |
+
if not is_image(roop.globals.source_path):
|
38 |
+
update_status('Select an image for source path.', NAME)
|
39 |
+
return False
|
40 |
+
elif not get_one_face(cv2.imread(roop.globals.source_path)):
|
41 |
+
update_status('No face in source path detected.', NAME)
|
42 |
+
return False
|
43 |
+
if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path):
|
44 |
+
update_status('Select an image or video for target path.', NAME)
|
45 |
+
return False
|
46 |
+
return True
|
47 |
+
|
48 |
+
|
49 |
+
def post_process() -> None:
|
50 |
+
global FACE_SWAPPER
|
51 |
+
|
52 |
+
FACE_SWAPPER = None
|
53 |
+
|
54 |
+
|
55 |
+
def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
|
56 |
+
return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True)
|
57 |
+
|
58 |
+
|
59 |
+
def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
|
60 |
+
if roop.globals.many_faces:
|
61 |
+
many_faces = get_many_faces(temp_frame)
|
62 |
+
if many_faces:
|
63 |
+
for target_face in many_faces:
|
64 |
+
temp_frame = swap_face(source_face, target_face, temp_frame)
|
65 |
+
else:
|
66 |
+
target_face = get_one_face(temp_frame)
|
67 |
+
if target_face:
|
68 |
+
temp_frame = swap_face(source_face, target_face, temp_frame)
|
69 |
+
return temp_frame
|
70 |
+
|
71 |
+
|
72 |
+
def process_frames(source_path: str, temp_frame_paths: List[str], update: Callable[[], None]) -> None:
|
73 |
+
source_face = get_one_face(cv2.imread(source_path))
|
74 |
+
for temp_frame_path in temp_frame_paths:
|
75 |
+
temp_frame = cv2.imread(temp_frame_path)
|
76 |
+
result = process_frame(source_face, temp_frame)
|
77 |
+
cv2.imwrite(temp_frame_path, result)
|
78 |
+
if update:
|
79 |
+
update()
|
80 |
+
|
81 |
+
|
82 |
+
def process_image(source_path: str, target_path: str, output_path: str) -> None:
|
83 |
+
source_face = get_one_face(cv2.imread(source_path))
|
84 |
+
target_frame = cv2.imread(target_path)
|
85 |
+
result = process_frame(source_face, target_frame)
|
86 |
+
cv2.imwrite(output_path, result)
|
87 |
+
|
88 |
+
|
89 |
+
def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
|
90 |
+
roop.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)
|
roop/typing.py
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from typing import Any
|
2 |
+
|
3 |
+
from insightface.app.common import Face
|
4 |
+
import numpy
|
5 |
+
|
6 |
+
Face = Face
|
7 |
+
Frame = numpy.ndarray[Any, Any]
|
roop/ui.json
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"CTk": {
|
3 |
+
"fg_color": ["gray95", "gray10"]
|
4 |
+
},
|
5 |
+
"CTkToplevel": {
|
6 |
+
"fg_color": ["gray95", "gray10"]
|
7 |
+
},
|
8 |
+
"CTkFrame": {
|
9 |
+
"corner_radius": 6,
|
10 |
+
"border_width": 0,
|
11 |
+
"fg_color": ["gray90", "gray13"],
|
12 |
+
"top_fg_color": ["gray85", "gray16"],
|
13 |
+
"border_color": ["gray65", "gray28"]
|
14 |
+
},
|
15 |
+
"CTkButton": {
|
16 |
+
"corner_radius": 6,
|
17 |
+
"border_width": 0,
|
18 |
+
"fg_color": ["#3a7ebf", "#1f538d"],
|
19 |
+
"hover_color": ["#325882", "#14375e"],
|
20 |
+
"border_color": ["#3E454A", "#949A9F"],
|
21 |
+
"text_color": ["#DCE4EE", "#DCE4EE"],
|
22 |
+
"text_color_disabled": ["gray74", "gray60"]
|
23 |
+
},
|
24 |
+
"CTkLabel": {
|
25 |
+
"corner_radius": 0,
|
26 |
+
"fg_color": "transparent",
|
27 |
+
"text_color": ["gray14", "gray84"]
|
28 |
+
},
|
29 |
+
"CTkEntry": {
|
30 |
+
"corner_radius": 6,
|
31 |
+
"border_width": 2,
|
32 |
+
"fg_color": ["#F9F9FA", "#343638"],
|
33 |
+
"border_color": ["#979DA2", "#565B5E"],
|
34 |
+
"text_color": ["gray14", "gray84"],
|
35 |
+
"placeholder_text_color": ["gray52", "gray62"]
|
36 |
+
},
|
37 |
+
"CTkCheckbox": {
|
38 |
+
"corner_radius": 6,
|
39 |
+
"border_width": 3,
|
40 |
+
"fg_color": ["#3a7ebf", "#1f538d"],
|
41 |
+
"border_color": ["#3E454A", "#949A9F"],
|
42 |
+
"hover_color": ["#325882", "#14375e"],
|
43 |
+
"checkmark_color": ["#DCE4EE", "gray90"],
|
44 |
+
"text_color": ["gray14", "gray84"],
|
45 |
+
"text_color_disabled": ["gray60", "gray45"]
|
46 |
+
},
|
47 |
+
"CTkSwitch": {
|
48 |
+
"corner_radius": 1000,
|
49 |
+
"border_width": 3,
|
50 |
+
"button_length": 0,
|
51 |
+
"fg_color": ["#939BA2", "#4A4D50"],
|
52 |
+
"progress_color": ["#3a7ebf", "#1f538d"],
|
53 |
+
"button_color": ["gray36", "#D5D9DE"],
|
54 |
+
"button_hover_color": ["gray20", "gray100"],
|
55 |
+
"text_color": ["gray14", "gray84"],
|
56 |
+
"text_color_disabled": ["gray60", "gray45"]
|
57 |
+
},
|
58 |
+
"CTkRadiobutton": {
|
59 |
+
"corner_radius": 1000,
|
60 |
+
"border_width_checked": 6,
|
61 |
+
"border_width_unchecked": 3,
|
62 |
+
"fg_color": ["#3a7ebf", "#1f538d"],
|
63 |
+
"border_color": ["#3E454A", "#949A9F"],
|
64 |
+
"hover_color": ["#325882", "#14375e"],
|
65 |
+
"text_color": ["gray14", "gray84"],
|
66 |
+
"text_color_disabled": ["gray60", "gray45"]
|
67 |
+
},
|
68 |
+
"CTkProgressBar": {
|
69 |
+
"corner_radius": 1000,
|
70 |
+
"border_width": 0,
|
71 |
+
"fg_color": ["#939BA2", "#4A4D50"],
|
72 |
+
"progress_color": ["#3a7ebf", "#1f538d"],
|
73 |
+
"border_color": ["gray", "gray"]
|
74 |
+
},
|
75 |
+
"CTkSlider": {
|
76 |
+
"corner_radius": 1000,
|
77 |
+
"button_corner_radius": 1000,
|
78 |
+
"border_width": 6,
|
79 |
+
"button_length": 0,
|
80 |
+
"fg_color": ["#939BA2", "#4A4D50"],
|
81 |
+
"progress_color": ["gray40", "#AAB0B5"],
|
82 |
+
"button_color": ["#3a7ebf", "#1f538d"],
|
83 |
+
"button_hover_color": ["#325882", "#14375e"]
|
84 |
+
},
|
85 |
+
"CTkOptionMenu": {
|
86 |
+
"corner_radius": 6,
|
87 |
+
"fg_color": ["#3a7ebf", "#1f538d"],
|
88 |
+
"button_color": ["#325882", "#14375e"],
|
89 |
+
"button_hover_color": ["#234567", "#1e2c40"],
|
90 |
+
"text_color": ["#DCE4EE", "#DCE4EE"],
|
91 |
+
"text_color_disabled": ["gray74", "gray60"]
|
92 |
+
},
|
93 |
+
"CTkComboBox": {
|
94 |
+
"corner_radius": 6,
|
95 |
+
"border_width": 2,
|
96 |
+
"fg_color": ["#F9F9FA", "#343638"],
|
97 |
+
"border_color": ["#979DA2", "#565B5E"],
|
98 |
+
"button_color": ["#979DA2", "#565B5E"],
|
99 |
+
"button_hover_color": ["#6E7174", "#7A848D"],
|
100 |
+
"text_color": ["gray14", "gray84"],
|
101 |
+
"text_color_disabled": ["gray50", "gray45"]
|
102 |
+
},
|
103 |
+
"CTkScrollbar": {
|
104 |
+
"corner_radius": 1000,
|
105 |
+
"border_spacing": 4,
|
106 |
+
"fg_color": "transparent",
|
107 |
+
"button_color": ["gray55", "gray41"],
|
108 |
+
"button_hover_color": ["gray40", "gray53"]
|
109 |
+
},
|
110 |
+
"CTkSegmentedButton": {
|
111 |
+
"corner_radius": 6,
|
112 |
+
"border_width": 2,
|
113 |
+
"fg_color": ["#979DA2", "gray29"],
|
114 |
+
"selected_color": ["#3a7ebf", "#1f538d"],
|
115 |
+
"selected_hover_color": ["#325882", "#14375e"],
|
116 |
+
"unselected_color": ["#979DA2", "gray29"],
|
117 |
+
"unselected_hover_color": ["gray70", "gray41"],
|
118 |
+
"text_color": ["#DCE4EE", "#DCE4EE"],
|
119 |
+
"text_color_disabled": ["gray74", "gray60"]
|
120 |
+
},
|
121 |
+
"CTkTextbox": {
|
122 |
+
"corner_radius": 6,
|
123 |
+
"border_width": 0,
|
124 |
+
"fg_color": ["gray100", "gray20"],
|
125 |
+
"border_color": ["#979DA2", "#565B5E"],
|
126 |
+
"text_color": ["gray14", "gray84"],
|
127 |
+
"scrollbar_button_color": ["gray55", "gray41"],
|
128 |
+
"scrollbar_button_hover_color": ["gray40", "gray53"]
|
129 |
+
},
|
130 |
+
"CTkScrollableFrame": {
|
131 |
+
"label_fg_color": ["gray80", "gray21"]
|
132 |
+
},
|
133 |
+
"DropdownMenu": {
|
134 |
+
"fg_color": ["gray90", "gray20"],
|
135 |
+
"hover_color": ["gray75", "gray28"],
|
136 |
+
"text_color": ["gray14", "gray84"]
|
137 |
+
},
|
138 |
+
"CTkFont": {
|
139 |
+
"macOS": {
|
140 |
+
"family": "Avenir",
|
141 |
+
"size": 12,
|
142 |
+
"weight": "normal"
|
143 |
+
},
|
144 |
+
"Windows": {
|
145 |
+
"family": "Corbel",
|
146 |
+
"size": 12,
|
147 |
+
"weight": "normal"
|
148 |
+
},
|
149 |
+
"Linux": {
|
150 |
+
"family": "Montserrat",
|
151 |
+
"size": 12,
|
152 |
+
"weight": "normal"
|
153 |
+
}
|
154 |
+
},
|
155 |
+
"RoopDonate": {
|
156 |
+
"text_color": ["#3a7ebf", "gray60"]
|
157 |
+
}
|
158 |
+
}
|
roop/ui.py
ADDED
@@ -0,0 +1,231 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import webbrowser
|
3 |
+
import customtkinter as ctk
|
4 |
+
from typing import Callable, Tuple
|
5 |
+
import cv2
|
6 |
+
from PIL import Image, ImageOps
|
7 |
+
|
8 |
+
import roop.globals
|
9 |
+
import roop.metadata
|
10 |
+
from roop.face_analyser import get_one_face
|
11 |
+
from roop.capturer import get_video_frame, get_video_frame_total
|
12 |
+
from roop.predicter import predict_frame
|
13 |
+
from roop.processors.frame.core import get_frame_processors_modules
|
14 |
+
from roop.utilities import is_image, is_video, resolve_relative_path
|
15 |
+
|
16 |
+
ROOT = None
|
17 |
+
ROOT_HEIGHT = 700
|
18 |
+
ROOT_WIDTH = 600
|
19 |
+
|
20 |
+
PREVIEW = None
|
21 |
+
PREVIEW_MAX_HEIGHT = 700
|
22 |
+
PREVIEW_MAX_WIDTH = 1200
|
23 |
+
|
24 |
+
RECENT_DIRECTORY_SOURCE = None
|
25 |
+
RECENT_DIRECTORY_TARGET = None
|
26 |
+
RECENT_DIRECTORY_OUTPUT = None
|
27 |
+
|
28 |
+
preview_label = None
|
29 |
+
preview_slider = None
|
30 |
+
source_label = None
|
31 |
+
target_label = None
|
32 |
+
status_label = None
|
33 |
+
|
34 |
+
|
35 |
+
def init(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
|
36 |
+
global ROOT, PREVIEW
|
37 |
+
|
38 |
+
ROOT = create_root(start, destroy)
|
39 |
+
PREVIEW = create_preview(ROOT)
|
40 |
+
|
41 |
+
return ROOT
|
42 |
+
|
43 |
+
|
44 |
+
def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
|
45 |
+
global source_label, target_label, status_label
|
46 |
+
|
47 |
+
ctk.deactivate_automatic_dpi_awareness()
|
48 |
+
ctk.set_appearance_mode('system')
|
49 |
+
ctk.set_default_color_theme(resolve_relative_path('ui.json'))
|
50 |
+
|
51 |
+
root = ctk.CTk()
|
52 |
+
root.minsize(ROOT_WIDTH, ROOT_HEIGHT)
|
53 |
+
root.title(f'{roop.metadata.name} {roop.metadata.version}')
|
54 |
+
root.configure()
|
55 |
+
root.protocol('WM_DELETE_WINDOW', lambda: destroy())
|
56 |
+
|
57 |
+
source_label = ctk.CTkLabel(root, text=None)
|
58 |
+
source_label.place(relx=0.1, rely=0.1, relwidth=0.3, relheight=0.25)
|
59 |
+
|
60 |
+
target_label = ctk.CTkLabel(root, text=None)
|
61 |
+
target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
|
62 |
+
|
63 |
+
source_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=lambda: select_source_path())
|
64 |
+
source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
|
65 |
+
|
66 |
+
target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=lambda: select_target_path())
|
67 |
+
target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
|
68 |
+
|
69 |
+
keep_fps_value = ctk.BooleanVar(value=roop.globals.keep_fps)
|
70 |
+
keep_fps_checkbox = ctk.CTkSwitch(root, text='Keep fps', variable=keep_fps_value, cursor='hand2', command=lambda: setattr(roop.globals, 'keep_fps', not roop.globals.keep_fps))
|
71 |
+
keep_fps_checkbox.place(relx=0.1, rely=0.6)
|
72 |
+
|
73 |
+
keep_frames_value = ctk.BooleanVar(value=roop.globals.keep_frames)
|
74 |
+
keep_frames_switch = ctk.CTkSwitch(root, text='Keep frames', variable=keep_frames_value, cursor='hand2', command=lambda: setattr(roop.globals, 'keep_frames', keep_frames_value.get()))
|
75 |
+
keep_frames_switch.place(relx=0.1, rely=0.65)
|
76 |
+
|
77 |
+
keep_audio_value = ctk.BooleanVar(value=roop.globals.keep_audio)
|
78 |
+
keep_audio_switch = ctk.CTkSwitch(root, text='Keep audio', variable=keep_audio_value, cursor='hand2', command=lambda: setattr(roop.globals, 'keep_audio', keep_audio_value.get()))
|
79 |
+
keep_audio_switch.place(relx=0.6, rely=0.6)
|
80 |
+
|
81 |
+
many_faces_value = ctk.BooleanVar(value=roop.globals.many_faces)
|
82 |
+
many_faces_switch = ctk.CTkSwitch(root, text='Many faces', variable=many_faces_value, cursor='hand2', command=lambda: setattr(roop.globals, 'many_faces', many_faces_value.get()))
|
83 |
+
many_faces_switch.place(relx=0.6, rely=0.65)
|
84 |
+
|
85 |
+
start_button = ctk.CTkButton(root, text='Start', cursor='hand2', command=lambda: select_output_path(start))
|
86 |
+
start_button.place(relx=0.15, rely=0.75, relwidth=0.2, relheight=0.05)
|
87 |
+
|
88 |
+
stop_button = ctk.CTkButton(root, text='Destroy', cursor='hand2', command=lambda: destroy())
|
89 |
+
stop_button.place(relx=0.4, rely=0.75, relwidth=0.2, relheight=0.05)
|
90 |
+
|
91 |
+
preview_button = ctk.CTkButton(root, text='Preview', cursor='hand2', command=lambda: toggle_preview())
|
92 |
+
preview_button.place(relx=0.65, rely=0.75, relwidth=0.2, relheight=0.05)
|
93 |
+
|
94 |
+
status_label = ctk.CTkLabel(root, text=None, justify='center')
|
95 |
+
status_label.place(relx=0.1, rely=0.9, relwidth=0.8)
|
96 |
+
|
97 |
+
donate_label = ctk.CTkLabel(root, text='^_^ Donate to project ^_^', justify='center', cursor='hand2')
|
98 |
+
donate_label.place(relx=0.1, rely=0.95, relwidth=0.8)
|
99 |
+
donate_label.configure(text_color=ctk.ThemeManager.theme.get('RoopDonate').get('text_color'))
|
100 |
+
donate_label.bind('<Button>', lambda event: webbrowser.open('https://github.com/sponsors/s0md3v'))
|
101 |
+
|
102 |
+
return root
|
103 |
+
|
104 |
+
|
105 |
+
def create_preview(parent: ctk.CTkToplevel) -> ctk.CTkToplevel:
|
106 |
+
global preview_label, preview_slider
|
107 |
+
|
108 |
+
preview = ctk.CTkToplevel(parent)
|
109 |
+
preview.withdraw()
|
110 |
+
preview.title('Preview')
|
111 |
+
preview.configure()
|
112 |
+
preview.protocol('WM_DELETE_WINDOW', lambda: toggle_preview())
|
113 |
+
preview.resizable(width=False, height=False)
|
114 |
+
|
115 |
+
preview_label = ctk.CTkLabel(preview, text=None)
|
116 |
+
preview_label.pack(fill='both', expand=True)
|
117 |
+
|
118 |
+
preview_slider = ctk.CTkSlider(preview, from_=0, to=0, command=lambda frame_value: update_preview(frame_value))
|
119 |
+
|
120 |
+
return preview
|
121 |
+
|
122 |
+
|
123 |
+
def update_status(text: str) -> None:
|
124 |
+
status_label.configure(text=text)
|
125 |
+
ROOT.update()
|
126 |
+
|
127 |
+
|
128 |
+
def select_source_path() -> None:
|
129 |
+
global RECENT_DIRECTORY_SOURCE
|
130 |
+
|
131 |
+
PREVIEW.withdraw()
|
132 |
+
source_path = ctk.filedialog.askopenfilename(title='select an source image', initialdir=RECENT_DIRECTORY_SOURCE)
|
133 |
+
if is_image(source_path):
|
134 |
+
roop.globals.source_path = source_path
|
135 |
+
RECENT_DIRECTORY_SOURCE = os.path.dirname(roop.globals.source_path)
|
136 |
+
image = render_image_preview(roop.globals.source_path, (200, 200))
|
137 |
+
source_label.configure(image=image)
|
138 |
+
else:
|
139 |
+
roop.globals.source_path = None
|
140 |
+
source_label.configure(image=None)
|
141 |
+
|
142 |
+
|
143 |
+
def select_target_path() -> None:
|
144 |
+
global RECENT_DIRECTORY_TARGET
|
145 |
+
|
146 |
+
PREVIEW.withdraw()
|
147 |
+
target_path = ctk.filedialog.askopenfilename(title='select an target image or video', initialdir=RECENT_DIRECTORY_TARGET)
|
148 |
+
if is_image(target_path):
|
149 |
+
roop.globals.target_path = target_path
|
150 |
+
RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
|
151 |
+
image = render_image_preview(roop.globals.target_path, (200, 200))
|
152 |
+
target_label.configure(image=image)
|
153 |
+
elif is_video(target_path):
|
154 |
+
roop.globals.target_path = target_path
|
155 |
+
RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
|
156 |
+
video_frame = render_video_preview(target_path, (200, 200))
|
157 |
+
target_label.configure(image=video_frame)
|
158 |
+
else:
|
159 |
+
roop.globals.target_path = None
|
160 |
+
target_label.configure(image=None)
|
161 |
+
|
162 |
+
|
163 |
+
def select_output_path(start: Callable[[], None]) -> None:
|
164 |
+
global RECENT_DIRECTORY_OUTPUT
|
165 |
+
|
166 |
+
if is_image(roop.globals.target_path):
|
167 |
+
output_path = ctk.filedialog.asksaveasfilename(title='save image output file', defaultextension='.png', initialfile='output.png', initialdir=RECENT_DIRECTORY_OUTPUT)
|
168 |
+
elif is_video(roop.globals.target_path):
|
169 |
+
output_path = ctk.filedialog.asksaveasfilename(title='save video output file', defaultextension='.mp4', initialfile='output.mp4', initialdir=RECENT_DIRECTORY_OUTPUT)
|
170 |
+
else:
|
171 |
+
output_path = None
|
172 |
+
if output_path:
|
173 |
+
roop.globals.output_path = output_path
|
174 |
+
RECENT_DIRECTORY_OUTPUT = os.path.dirname(roop.globals.output_path)
|
175 |
+
start()
|
176 |
+
|
177 |
+
|
178 |
+
def render_image_preview(image_path: str, size: Tuple[int, int]) -> ctk.CTkImage:
|
179 |
+
image = Image.open(image_path)
|
180 |
+
if size:
|
181 |
+
image = ImageOps.fit(image, size, Image.LANCZOS)
|
182 |
+
return ctk.CTkImage(image, size=image.size)
|
183 |
+
|
184 |
+
|
185 |
+
def render_video_preview(video_path: str, size: Tuple[int, int], frame_number: int = 0) -> ctk.CTkImage:
|
186 |
+
capture = cv2.VideoCapture(video_path)
|
187 |
+
if frame_number:
|
188 |
+
capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
|
189 |
+
has_frame, frame = capture.read()
|
190 |
+
if has_frame:
|
191 |
+
image = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
|
192 |
+
if size:
|
193 |
+
image = ImageOps.fit(image, size, Image.LANCZOS)
|
194 |
+
return ctk.CTkImage(image, size=image.size)
|
195 |
+
capture.release()
|
196 |
+
cv2.destroyAllWindows()
|
197 |
+
|
198 |
+
|
199 |
+
def toggle_preview() -> None:
|
200 |
+
if PREVIEW.state() == 'normal':
|
201 |
+
PREVIEW.withdraw()
|
202 |
+
elif roop.globals.source_path and roop.globals.target_path:
|
203 |
+
init_preview()
|
204 |
+
update_preview()
|
205 |
+
PREVIEW.deiconify()
|
206 |
+
|
207 |
+
|
208 |
+
def init_preview() -> None:
|
209 |
+
if is_image(roop.globals.target_path):
|
210 |
+
preview_slider.pack_forget()
|
211 |
+
if is_video(roop.globals.target_path):
|
212 |
+
video_frame_total = get_video_frame_total(roop.globals.target_path)
|
213 |
+
preview_slider.configure(to=video_frame_total)
|
214 |
+
preview_slider.pack(fill='x')
|
215 |
+
preview_slider.set(0)
|
216 |
+
|
217 |
+
|
218 |
+
def update_preview(frame_number: int = 0) -> None:
|
219 |
+
if roop.globals.source_path and roop.globals.target_path:
|
220 |
+
temp_frame = get_video_frame(roop.globals.target_path, frame_number)
|
221 |
+
if predict_frame(temp_frame):
|
222 |
+
quit()
|
223 |
+
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
|
224 |
+
temp_frame = frame_processor.process_frame(
|
225 |
+
get_one_face(cv2.imread(roop.globals.source_path)),
|
226 |
+
temp_frame
|
227 |
+
)
|
228 |
+
image = Image.fromarray(cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB))
|
229 |
+
image = ImageOps.contain(image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS)
|
230 |
+
image = ctk.CTkImage(image, size=image.size)
|
231 |
+
preview_label.configure(image=image)
|
roop/utilities.py
ADDED
@@ -0,0 +1,141 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import glob
|
2 |
+
import mimetypes
|
3 |
+
import os
|
4 |
+
import platform
|
5 |
+
import shutil
|
6 |
+
import ssl
|
7 |
+
import subprocess
|
8 |
+
import urllib
|
9 |
+
from pathlib import Path
|
10 |
+
from typing import List, Any
|
11 |
+
from tqdm import tqdm
|
12 |
+
|
13 |
+
import roop.globals
|
14 |
+
|
15 |
+
TEMP_FILE = 'temp.mp4'
|
16 |
+
TEMP_DIRECTORY = 'temp'
|
17 |
+
|
18 |
+
# monkey patch ssl for mac
|
19 |
+
if platform.system().lower() == 'darwin':
|
20 |
+
ssl._create_default_https_context = ssl._create_unverified_context
|
21 |
+
|
22 |
+
|
23 |
+
def run_ffmpeg(args: List[str]) -> bool:
|
24 |
+
commands = ['ffmpeg', '-hide_banner', '-hwaccel', 'auto', '-loglevel', roop.globals.log_level]
|
25 |
+
commands.extend(args)
|
26 |
+
try:
|
27 |
+
subprocess.check_output(commands, stderr=subprocess.STDOUT)
|
28 |
+
return True
|
29 |
+
except Exception:
|
30 |
+
pass
|
31 |
+
return False
|
32 |
+
|
33 |
+
|
34 |
+
def detect_fps(target_path: str) -> float:
|
35 |
+
command = ['ffprobe', '-v', 'error', '-select_streams', 'v:0', '-show_entries', 'stream=r_frame_rate', '-of', 'default=noprint_wrappers=1:nokey=1', target_path]
|
36 |
+
output = subprocess.check_output(command).decode().strip().split('/')
|
37 |
+
try:
|
38 |
+
numerator, denominator = map(int, output)
|
39 |
+
return numerator / denominator
|
40 |
+
except Exception:
|
41 |
+
pass
|
42 |
+
return 30.0
|
43 |
+
|
44 |
+
|
45 |
+
def extract_frames(target_path: str) -> None:
|
46 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
47 |
+
run_ffmpeg(['-i', target_path, '-pix_fmt', 'rgb24', os.path.join(temp_directory_path, '%04d.png')])
|
48 |
+
|
49 |
+
|
50 |
+
def create_video(target_path: str, fps: float = 30.0) -> None:
|
51 |
+
temp_output_path = get_temp_output_path(target_path)
|
52 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
53 |
+
run_ffmpeg(['-r', str(fps), '-i', os.path.join(temp_directory_path, '%04d.png'), '-c:v', roop.globals.video_encoder, '-crf', str(roop.globals.video_quality), '-pix_fmt', 'yuv420p', '-vf', 'colorspace=bt709:iall=bt601-6-625:fast=1', '-y', temp_output_path])
|
54 |
+
|
55 |
+
|
56 |
+
def restore_audio(target_path: str, output_path: str) -> None:
|
57 |
+
temp_output_path = get_temp_output_path(target_path)
|
58 |
+
done = run_ffmpeg(['-i', temp_output_path, '-i', target_path, '-c:v', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-y', output_path])
|
59 |
+
if not done:
|
60 |
+
move_temp(target_path, output_path)
|
61 |
+
|
62 |
+
|
63 |
+
def get_temp_frame_paths(target_path: str) -> List[str]:
|
64 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
65 |
+
return glob.glob((os.path.join(glob.escape(temp_directory_path), '*.png')))
|
66 |
+
|
67 |
+
|
68 |
+
def get_temp_directory_path(target_path: str) -> str:
|
69 |
+
target_name, _ = os.path.splitext(os.path.basename(target_path))
|
70 |
+
target_directory_path = os.path.dirname(target_path)
|
71 |
+
return os.path.join(target_directory_path, TEMP_DIRECTORY, target_name)
|
72 |
+
|
73 |
+
|
74 |
+
def get_temp_output_path(target_path: str) -> str:
|
75 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
76 |
+
return os.path.join(temp_directory_path, TEMP_FILE)
|
77 |
+
|
78 |
+
|
79 |
+
def normalize_output_path(source_path: str, target_path: str, output_path: str) -> Any:
|
80 |
+
if source_path and target_path:
|
81 |
+
source_name, _ = os.path.splitext(os.path.basename(source_path))
|
82 |
+
target_name, target_extension = os.path.splitext(os.path.basename(target_path))
|
83 |
+
if os.path.isdir(output_path):
|
84 |
+
return os.path.join(output_path, source_name + '-' + target_name + target_extension)
|
85 |
+
return output_path
|
86 |
+
|
87 |
+
|
88 |
+
def create_temp(target_path: str) -> None:
|
89 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
90 |
+
Path(temp_directory_path).mkdir(parents=True, exist_ok=True)
|
91 |
+
|
92 |
+
|
93 |
+
def move_temp(target_path: str, output_path: str) -> None:
|
94 |
+
temp_output_path = get_temp_output_path(target_path)
|
95 |
+
if os.path.isfile(temp_output_path):
|
96 |
+
if os.path.isfile(output_path):
|
97 |
+
os.remove(output_path)
|
98 |
+
shutil.move(temp_output_path, output_path)
|
99 |
+
|
100 |
+
|
101 |
+
def clean_temp(target_path: str) -> None:
|
102 |
+
temp_directory_path = get_temp_directory_path(target_path)
|
103 |
+
parent_directory_path = os.path.dirname(temp_directory_path)
|
104 |
+
if not roop.globals.keep_frames and os.path.isdir(temp_directory_path):
|
105 |
+
shutil.rmtree(temp_directory_path)
|
106 |
+
if os.path.exists(parent_directory_path) and not os.listdir(parent_directory_path):
|
107 |
+
os.rmdir(parent_directory_path)
|
108 |
+
|
109 |
+
|
110 |
+
def has_image_extension(image_path: str) -> bool:
|
111 |
+
return image_path.lower().endswith(('png', 'jpg', 'jpeg', 'webp'))
|
112 |
+
|
113 |
+
|
114 |
+
def is_image(image_path: str) -> bool:
|
115 |
+
if image_path and os.path.isfile(image_path):
|
116 |
+
mimetype, _ = mimetypes.guess_type(image_path)
|
117 |
+
return bool(mimetype and mimetype.startswith('image/'))
|
118 |
+
return False
|
119 |
+
|
120 |
+
|
121 |
+
def is_video(video_path: str) -> bool:
|
122 |
+
if video_path and os.path.isfile(video_path):
|
123 |
+
mimetype, _ = mimetypes.guess_type(video_path)
|
124 |
+
return bool(mimetype and mimetype.startswith('video/'))
|
125 |
+
return False
|
126 |
+
|
127 |
+
|
128 |
+
def conditional_download(download_directory_path: str, urls: List[str]) -> None:
|
129 |
+
if not os.path.exists(download_directory_path):
|
130 |
+
os.makedirs(download_directory_path)
|
131 |
+
for url in urls:
|
132 |
+
download_file_path = os.path.join(download_directory_path, os.path.basename(url))
|
133 |
+
if not os.path.exists(download_file_path):
|
134 |
+
request = urllib.request.urlopen(url) # type: ignore[attr-defined]
|
135 |
+
total = int(request.headers.get('Content-Length', 0))
|
136 |
+
with tqdm(total=total, desc='Downloading', unit='B', unit_scale=True, unit_divisor=1024) as progress:
|
137 |
+
urllib.request.urlretrieve(url, download_file_path, reporthook=lambda count, block_size, total_size: progress.update(block_size)) # type: ignore[attr-defined]
|
138 |
+
|
139 |
+
|
140 |
+
def resolve_relative_path(path: str) -> str:
|
141 |
+
return os.path.abspath(os.path.join(os.path.dirname(__file__), path))
|
themes.py
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from __future__ import annotations
|
2 |
+
from typing import Iterable
|
3 |
+
from gradio.themes.base import Base
|
4 |
+
from gradio.themes.utils import colors, fonts, sizes
|
5 |
+
|
6 |
+
class IndonesiaTheme(Base):
|
7 |
+
def __init__(
|
8 |
+
self,
|
9 |
+
*,
|
10 |
+
primary_hue: colors.Color | str = colors.red,
|
11 |
+
secondary_hue: colors.Color | str = colors.gray,
|
12 |
+
neutral_hue: colors.Color | str = colors.gray,
|
13 |
+
spacing_size: sizes.Size | str = sizes.spacing_md,
|
14 |
+
radius_size: sizes.Size | str = sizes.radius_md,
|
15 |
+
text_size: sizes.Size | str = sizes.text_lg,
|
16 |
+
font: fonts.Font
|
17 |
+
| str
|
18 |
+
| Iterable[fonts.Font | str] = (
|
19 |
+
fonts.GoogleFont("Quicksand"),
|
20 |
+
"ui-sans-serif",
|
21 |
+
"sans-serif",
|
22 |
+
),
|
23 |
+
font_mono: fonts.Font
|
24 |
+
| str
|
25 |
+
| Iterable[fonts.Font | str] = (
|
26 |
+
fonts.GoogleFont("IBM Plex Mono"),
|
27 |
+
"ui-monospace",
|
28 |
+
"monospace",
|
29 |
+
),
|
30 |
+
):
|
31 |
+
super().__init__(
|
32 |
+
primary_hue=primary_hue,
|
33 |
+
secondary_hue=secondary_hue,
|
34 |
+
neutral_hue=neutral_hue,
|
35 |
+
spacing_size=spacing_size,
|
36 |
+
radius_size=radius_size,
|
37 |
+
text_size=text_size,
|
38 |
+
font=font,
|
39 |
+
font_mono=font_mono,
|
40 |
+
)
|
41 |
+
super().set(
|
42 |
+
body_background_fill="linear-gradient(to bottom, #e0e0e0, #7d7d7d)", # Gradasi abu-abu muda ke abu-abu tua
|
43 |
+
body_background_fill_dark="linear-gradient(to bottom, #7d7d7d, #4a4a4a)", # Gradasi abu-abu tua ke lebih gelap untuk dark mode
|
44 |
+
button_primary_background_fill="linear-gradient(90deg, #d84a4a, #b33030)", # Merah ke merah tua
|
45 |
+
button_primary_background_fill_hover="linear-gradient(90deg, #e85b5b, #cc4b4b)", # Merah lebih terang untuk hover
|
46 |
+
button_primary_text_color="white",
|
47 |
+
button_primary_background_fill_dark="linear-gradient(90deg, #b33030, #8f1f1f)", # Merah tua untuk dark mode
|
48 |
+
slider_color="*secondary_300",
|
49 |
+
slider_color_dark="*secondary_600",
|
50 |
+
block_title_text_weight="600",
|
51 |
+
block_border_width="3px",
|
52 |
+
block_shadow="*shadow_drop_lg",
|
53 |
+
button_shadow="*shadow_drop_lg",
|
54 |
+
button_large_padding="32px",
|
55 |
+
)
|