Restore globals, add process time for better comparison
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@ -1,7 +1,7 @@
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import insightface
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import onnxruntime
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import core.globals
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face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=onnxruntime.get_available_providers())
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face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
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face_analyser.prepare(ctx_id=0, det_size=(640, 640))
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4
core/globals.py
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4
core/globals.py
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@ -0,0 +1,4 @@
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import onnxruntime
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use_gpu = False
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providers = onnxruntime.get_available_providers()
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@ -1,18 +1,20 @@
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import os
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import time
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import cv2
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import insightface
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import onnxruntime
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import core.globals
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from core.config import get_face
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from core.utils import rreplace
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if os.path.isfile('inswapper_128.onnx'):
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face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=onnxruntime.get_available_providers())
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face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=core.globals.providers)
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else:
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quit('File "inswapper_128.onnx" does not exist!')
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def process_video(source_img, frame_paths):
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start_time = time.time()
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source_face = get_face(cv2.imread(source_img))
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for frame_path in frame_paths:
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frame = cv2.imread(frame_path)
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@ -28,6 +30,8 @@ def process_video(source_img, frame_paths):
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print('E', end='', flush=True)
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pass
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print(flush=True)
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end_time = time.time()
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print(f"Processing time: {end_time - start_time:.2f} seconds", flush=True)
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def process_img(source_img, target_path):
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5
run.py
5
run.py
@ -1,11 +1,14 @@
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#!/usr/bin/env python3
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import sys
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import torch
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import shutil
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import core.globals
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if not shutil.which('ffmpeg'):
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print('ffmpeg is not installed. Read the docs: https://github.com/s0md3v/roop#installation.\n' * 10)
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quit()
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if '--gpu' not in sys.argv:
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core.globals.providers = ['CPUExecutionProvider']
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import glob
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import argparse
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