face_enhancer isn't found.

[Uniqbank]

Hi @hacksider,

Great to e-meet you! I came across your project, and I must say it stands out among many others—it's incredibly clean and well-structured. Well done!

I have a quick question for anyone who may have encountered this issue.

When running python run.py, I’m getting the error:
Frame processor face_enhancer not found
However, face_swapper loads without any issues.

If anyone has faced this before, I’d appreciate any insights on what I might be missing.

Setup:
MacBook (Intel)

Thanks in advance!

[Uniqbank]

I managed to resolve this, but getting another issue now:

With following settings:

After click on 'Live' it does pop up a screen with source image as starting point with following issues:

1. face part has a black square and its not rendering the target image's face properly in live mode as expected. 2 fps rate is just 0.5.

I have followed the instruction steps but I am on a Macbook (Intel). Is there's something missing for mac setup? Thanks

[kirillbush91]

Hi @Uniqbank How did u solve an issue with Frame processor face_enhancer not found ?

[luna-nightbyte]

Hi @Uniqbank How did u solve an issue with Frame processor face_enhancer not found ?

Try out this from the pinned https://github.com/hacksider/Deep-Live-Cam/issues/266# issue and see f that resolves your issue.

[Uniqbank]

@kirillbush91 , sorry for delay. I also updated global constants and added list of frame processors in the list. Hope this helps, if not, let me know will send the code snippet.

[Alinus6]

@Uniqbank please send the code

[x011]

pip uninstall basicsr -y
install basicsr directly from its GitHub repository:
pip uninstall gfpgan -y
pip install git+https://github.com/TencentARC/GFPGAN.git@master

[Uniqbank]

@Uniqbank please send the code

modules/globals.py

frame_processors: List[str] = ["face_swapper", "face_enhancer"]

modules/processors/frame add init.py

from .face_enhancer import *
from .face_swapper import *

modules/processors/frame/core.py

import sys
import importlib
from concurrent.futures import ThreadPoolExecutor
from types import ModuleType
from typing import Any, List, Callable
from tqdm import tqdm

import modules
import modules.globals                   

FRAME_PROCESSORS_MODULES: List[ModuleType] = []
FRAME_PROCESSORS_INTERFACE = [
    'pre_check',
    'pre_start',
    'process_frame',
    'process_image',
    'process_video'
]


def load_frame_processor_module(frame_processor: str) -> Any:
    try:
        frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
        for method_name in FRAME_PROCESSORS_INTERFACE:
            if not hasattr(frame_processor_module, method_name):
                sys.exit()
    except ImportError:
        print(f"Frame processor {frame_processor} not found")
        sys.exit()
    return frame_processor_module


def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType]:
    global FRAME_PROCESSORS_MODULES

    if not FRAME_PROCESSORS_MODULES:
        for frame_processor in frame_processors:
            frame_processor_module = load_frame_processor_module(frame_processor)
            FRAME_PROCESSORS_MODULES.append(frame_processor_module)
    set_frame_processors_modules_from_ui(frame_processors)
    return FRAME_PROCESSORS_MODULES

def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
    global FRAME_PROCESSORS_MODULES
    for frame_processor, state in modules.globals.fp_ui.items():
        if state == True and frame_processor not in frame_processors:
            frame_processor_module = load_frame_processor_module(frame_processor)
            FRAME_PROCESSORS_MODULES.append(frame_processor_module)
            modules.globals.frame_processors.append(frame_processor)
        if state == False:
            try:
                frame_processor_module = load_frame_processor_module(frame_processor)
                FRAME_PROCESSORS_MODULES.remove(frame_processor_module)
                modules.globals.frame_processors.remove(frame_processor)
            except:
                pass

def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
    with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
        futures = []
        for path in temp_frame_paths:
            future = executor.submit(process_frames, source_path, [path], progress)
            futures.append(future)
        for future in futures:
            future.result()


def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
    progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
    total = len(frame_paths)
    with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
        progress.set_postfix({'execution_providers': modules.globals.execution_providers, 'execution_threads': modules.globals.execution_threads, 'max_memory': modules.globals.max_memory})
        multi_process_frame(source_path, frame_paths, process_frames, progress)

hope it helps.

[kniahnitskyi]

in my case, I needed torchvision==0.15.2