GPU support and couple of addons

core/config.py

@@ -1,5 +1,4 @@
 import insightface
-import onnxruntime
 import core.globals
 
 face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)

core/processor.py

@@ -1,11 +1,14 @@
+import os
 import cv2
 import insightface
-import onnxruntime
 import core.globals
 from core.config import get_face
 from core.utils import rreplace
 
-face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=core.globals.providers)
+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!')
 
 
 def process_video(source_img, frame_paths):
@@ -23,7 +26,7 @@ def process_video(source_img, frame_paths):
         except Exception as e:
             print('E', end='', flush=True)
             pass
-    print(flush=True)
+
 
 def process_img(source_img, target_path):
     frame = cv2.imread(target_path)

core/utils.py

@@ -17,6 +17,7 @@ def run_command(command, mode="silent"):
         return os.system(command)
     return os.popen(command).read()
 
+
 def detect_fps(input_path):
     input_path = path(input_path)
     output = os.popen(f'ffprobe -v error -select_streams v -of default=noprint_wrappers=1:nokey=1 -show_entries stream=r_frame_rate "{input_path}"').read()
@@ -58,6 +59,7 @@ def add_audio(output_dir, target_path, keep_frames, output_file):
 def is_img(path):
     return path.lower().endswith(("png", "jpg", "jpeg", "bmp"))
 
+
 def rreplace(s, old, new, occurrence):
     li = s.rsplit(old, occurrence)
     return new.join(li)

requirements.txt

@@ -1,7 +1,8 @@
 numpy==1.24.3
 opencv-python==4.7.0.72
 onnx==1.14.0
-onnxruntime==1.15.0
+onnxruntime-gpu==1.15.0
 insightface==0.7.3
 psutil==5.9.5
 tk==0.1.0
+torch==2.0.1

run.py

@@ -1,4 +1,7 @@
+#!/usr/bin/env python3
 import sys
+import time
+import torch
 import shutil
 import core.globals
 
@@ -31,7 +34,8 @@ 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)
+if torch.cuda.is_available():
+    parser.add_argument('--gpu', help='use gpu', dest='gpu', action='store_true', default=False)
 parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
 
 for name, value in vars(parser.parse_args()).items():
@@ -44,8 +48,12 @@ if os.name == "nt":
 
 
 def start_processing():
+    start_time = time.time()
     if args['gpu']:
         process_video(args['source_img'], args["frame_paths"])
+        end_time = time.time()
+        print(flush=True)
+        print(f"Processing time: {end_time - start_time:.2f} seconds", flush=True)
         return
     frame_paths = args["frame_paths"]
     n = len(frame_paths)//(psutil.cpu_count()-1)
@@ -57,6 +65,9 @@ def start_processing():
         p.get()
     pool.close()
     pool.join()
+    end_time = time.time()
+    print(flush=True)
+    print(f"Processing time: {end_time - start_time:.2f} seconds", flush=True)
 
 
 def select_face():