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Merge pull request #91 from henryruhs/main

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Introduce pre_check() and limit_resources()
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Somdev Sangwan 2023-05-31 02:27:34 +05:30 committed by GitHub
commit 251fde9596
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4 changed files with 87 additions and 33 deletions
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23
README.md
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@ -24,18 +24,23 @@ Choose a face (image with desired face) and the target image/video (image/video
Don't touch the FPS checkbox unless you know what you are doing.
Additional command line arguments are given below:
```
-h, --help show this help message and exit
-f SOURCE_IMG, --face SOURCE_IMG
options:
-h, --help show this help message and exit
-f SOURCE_IMG, --face SOURCE_IMG
use this face
-t TARGET_PATH, --target TARGET_PATH
-t TARGET_PATH, --target TARGET_PATH
replace this face
-o OUTPUT_FILE, --output OUTPUT_FILE
save output to this file
--keep-fps keep original fps
--gpu use gpu
--keep-frames don't delete frames directory
--cores number of cores to use
-o OUTPUT_FILE, --output OUTPUT_FILE
save output to this file
--gpu use gpu
--keep-fps maintain original fps
--keep-frames keep frames directory
--max-memory MAX_MEMORY
set max memory
--max-cores CORES_COUNT
set max cpu cores
```
Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.

15
core/config.py
View File

@ -1,13 +1,20 @@
import insightface
import core.globals
face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
face_analyser.prepare(ctx_id=0, det_size=(640, 640))
FACE_ANALYSER = None
def get_face_analyser():
global FACE_ANALYSER
if FACE_ANALYSER is None:
FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
return FACE_ANALYSER
def get_face(img_data):
analysed = face_analyser.get(img_data)
face = get_face_analyser().get(img_data)
try:
return sorted(analysed, key=lambda x: x.bbox[0])[0]
return sorted(face, key=lambda x: x.bbox[0])[0]
except IndexError:
return None

19
core/processor.py
View File

@ -1,14 +1,19 @@
import os
import cv2
import insightface
import core.globals
from core.config import get_face
from core.utils import rreplace
if os.path.isfile('inswapper_128.onnx'):
face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=core.globals.providers)
else:
quit('File "inswapper_128.onnx" does not exist!')
FACE_SWAPPER = None
def get_face_swapper():
global FACE_SWAPPER
if FACE_SWAPPER is None:
model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
FACE_SWAPPER = insightface.model_zoo.get_model(model_path)
return FACE_SWAPPER
def process_video(source_img, frame_paths):
@ -18,7 +23,7 @@ def process_video(source_img, frame_paths):
try:
face = get_face(frame)
if face:
result = face_swapper.get(frame, face, source_face, paste_back=True)
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
cv2.imwrite(frame_path, result)
print('.', end='', flush=True)
else:
@ -34,4 +39,4 @@ def process_img(source_img, target_path, output_file):
source_face = get_face(cv2.imread(source_img))
result = face_swapper.get(frame, face, source_face, paste_back=True)
cv2.imwrite(output_file, result)
print("\n\nImage saved as:", output_file, "\n\n")
print("\n\nImage saved as:", output_file, "\n\n")

63
run.py
View File

@ -1,19 +1,11 @@
#!/usr/bin/env python3
import platform
import sys
import time
import torch
import shutil
import core.globals
if not shutil.which('ffmpeg'):
print('ffmpeg is not installed. Read the docs: https://github.com/s0md3v/roop#installation.\n' * 10)
quit()
if '--gpu' not in sys.argv:
core.globals.providers = ['CPUExecutionProvider']
elif 'ROCMExecutionProvider' not in core.globals.providers:
import torch
if not torch.cuda.is_available():
quit("You are using --gpu flag but CUDA isn't available or properly installed on your system.")
import glob
import argparse
import multiprocessing as mp
@ -38,10 +30,11 @@ parser = argparse.ArgumentParser()
parser.add_argument('-f', '--face', help='use this face', dest='source_img')
parser.add_argument('-t', '--target', help='replace this face', dest='target_path')
parser.add_argument('-o', '--output', help='save output to this file', dest='output_file')
parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
parser.add_argument('--gpu', help='use gpu', dest='gpu', action='store_true', default=False)
parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
parser.add_argument('--cores', help='number of cores to use', dest='cores_count', type=int, default=psutil.cpu_count()-1)
parser.add_argument('--max-memory', help='set max memory', default=16, type=int)
parser.add_argument('--max-cores', help='number of cores to use', dest='cores_count', type=int, default=max(psutil.cpu_count() - 2, 2))
for name, value in vars(parser.parse_args()).items():
args[name] = value
@ -51,6 +44,45 @@ if os.name == "nt":
sep = "\\"
def limit_resources():
if args['max_memory'] >= 1:
memory = args['max_memory'] * 1024 * 1024 * 1024
if str(platform.system()).lower() == 'windows':
import ctypes
kernel32 = ctypes.windll.kernel32
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
else:
import resource
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
def pre_check():
if sys.version_info < (3, 8):
quit(f'Python version is not supported - please upgrade to 3.8 or higher')
if not shutil.which('ffmpeg'):
quit('ffmpeg is not installed!')
model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'inswapper_128.onnx')
if not os.path.isfile(model_path):
quit('File "inswapper_128.onnx" does not exist!')
if '--gpu' in sys.argv:
CUDA_VERSION = torch.version.cuda
CUDNN_VERSION = torch.backends.cudnn.version()
if 'ROCMExecutionProvider' not in core.globals.providers:
if not torch.cuda.is_available() or not CUDA_VERSION:
quit("You are using --gpu flag but CUDA isn't available or properly installed on your system.")
if CUDA_VERSION > '11.8':
quit(f"CUDA version {CUDA_VERSION} is not supported - please downgrade to 11.8.")
if CUDA_VERSION < '11.4':
quit(f"CUDA version {CUDA_VERSION} is not supported - please upgrade to 11.8")
if CUDNN_VERSION < 8220:
quit(f"CUDNN version {CUDNN_VERSION} is not supported - please upgrade to 8.9.1")
if CUDNN_VERSION > 8910:
quit(f"CUDNN version {CUDNN_VERSION} is not supported - please downgrade to 8.9.1")
else:
core.globals.providers = ['CPUExecutionProvider']
def start_processing():
start_time = time.time()
if args['gpu']:
@ -73,6 +105,7 @@ def start_processing():
print(flush=True)
print(f"Processing time: {end_time - start_time:.2f} seconds", flush=True)
def preview_image(image_path):
img = Image.open(image_path)
img = img.resize((180, 180), Image.ANTIALIAS)
@ -189,6 +222,10 @@ def start():
if __name__ == "__main__":
global status_label, window
pre_check()
limit_resources()
if args['source_img']:
args['cli_mode'] = True
start()