Rename max-cores to cpu-cores, Improve dependencies

README.md

@@ -45,12 +45,12 @@ options:
   --all-faces           swap all faces in frame
   --max-memory MAX_MEMORY
                         maximum amount of RAM in GB to be used
-  --cpu-threads CPU_THREADS
+  --cpu-cores CPU_CORES
-                        number of threads to be use for CPU mode
+                        number of CPU cores to use
   --gpu-threads GPU_THREADS
-                        number of threads to be use for GPU moded
+                        number of threads to be use for the GPU
-  --gpu-vendor {amd,intel,nvidia}
+  --gpu-vendor {apple,amd,intel,nvidia}
-                        choice your gpu vendor
+                        choice your GPU vendor
 ```
 
 Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.

requirements.txt

@@ -1,3 +1,5 @@
+--extra-index-url https://download.pytorch.org/whl/cu118
+
 numpy==1.23.5
 opencv-python==4.7.0.72
 onnx==1.14.0
@@ -5,7 +7,7 @@ insightface==0.7.3
 psutil==5.9.5
 tk==0.1.0
 pillow==9.5.0
-torch==2.0.1
+torch==2.0.1+cu118
 onnxruntime==1.15.0; sys_platform == 'darwin' and platform_machine != 'arm64'
 onnxruntime-silicon==1.13.1; sys_platform == 'darwin' and platform_machine == 'arm64'
 onnxruntime-gpu==1.15.0; sys_platform != 'darwin'
@@ -13,5 +15,4 @@ tensorflow==2.13.0rc1; sys_platform == 'darwin'
 tensorflow==2.12.0; sys_platform != 'darwin'
 opennsfw2==0.10.2
 protobuf==4.23.2
-pynvml==11.5.0
 tqdm==4.65.0

roop/core.py

@@ -30,9 +30,9 @@ parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps',
 parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
 parser.add_argument('--all-faces', help='swap all faces in frame', dest='all_faces', action='store_true', default=False)
 parser.add_argument('--max-memory', help='maximum amount of RAM in GB to be used', dest='max_memory', type=int)
-parser.add_argument('--max-cores', help='number of cores to use at max', dest='max_cores', type=int, default=max(psutil.cpu_count() - 2, 2))
+parser.add_argument('--cpu-cores', help='number of CPU cores to use', dest='cpu_cores', type=int, default=max(psutil.cpu_count() - 2, 2))
-parser.add_argument('--gpu-threads', help='number of threads to be use for GPU mode', dest='gpu_threads', type=int, default=4)
+parser.add_argument('--gpu-threads', help='number of threads to be use for the GPU', dest='gpu_threads', type=int, default=4)
-parser.add_argument('--gpu-vendor', help='choice your gpu vendor', dest='gpu_vendor', choices=['apple', 'amd', 'intel', 'nvidia'])
+parser.add_argument('--gpu-vendor', help='choice your GPU vendor', dest='gpu_vendor', choices=['apple', 'amd', 'intel', 'nvidia'])
 
 args = {}
 
@@ -42,8 +42,8 @@ for name, value in vars(parser.parse_args()).items():
 if 'all_faces' in args:
     roop.globals.all_faces = True
 
-if args['max_cores']:
+if args['cpu_cores']:
-    roop.globals.max_cores = args['max_cores']
+    roop.globals.cpu_cores = args['cpu_cores']
 
 if args['gpu_threads']:
     roop.globals.gpu_threads = args['gpu_threads']
@@ -81,13 +81,13 @@ def pre_check():
     if roop.globals.gpu_vendor == 'apple':
         if 'CoreMLExecutionProvider' not in roop.globals.providers:
             quit("You are using --gpu=apple flag but CoreML isn't available or properly installed on your system.")
-    elif roop.globals.gpu_vendor == 'amd':
+    if roop.globals.gpu_vendor == 'amd':
         if 'ROCMExecutionProvider' not in roop.globals.providers:
             quit("You are using --gpu=amd flag but ROCM isn't available or properly installed on your system.")
-    elif roop.globals.gpu_vendor == 'nvidia':
+    if roop.globals.gpu_vendor == 'nvidia':
         CUDA_VERSION = torch.version.cuda
         CUDNN_VERSION = torch.backends.cudnn.version()
-        if not torch.cuda.is_available() or not CUDA_VERSION:
+        if not torch.cuda.is_available():
             quit("You are using --gpu=nvidia 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")
@@ -97,8 +97,6 @@ def pre_check():
             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:
-        roop.globals.providers = ['CPUExecutionProvider']
 
 
 def get_video_frame(video_path, frame_number = 1):
@@ -138,7 +136,7 @@ def status(string):
 
 
 def process_video_multi_cores(source_img, frame_paths):
-    n = len(frame_paths) // roop.globals.max_cores
+    n = len(frame_paths) // roop.globals.cpu_cores
     if n > 2:
         processes = []
         for i in range(0, len(frame_paths), n):
@@ -193,9 +191,9 @@ def start(preview_callback = None):
         key=lambda x: int(x.split(sep)[-1].replace(".png", ""))
     ))
     status("swapping in progress...")
-    if sys.platform != 'darwin' and not args['gpu_vendor']:
+    if sys.platform != 'darwin' and roop.globals.gpu_vendor is None:
         global pool
-        pool = mp.Pool(roop.globals.max_cores)
+        pool = mp.Pool(roop.globals.cpu_cores)
         process_video_multi_cores(args['source_img'], args['frame_paths'])
     else:
         process_video(args['source_img'], args["frame_paths"], preview_callback)

roop/globals.py

@@ -2,7 +2,7 @@ import onnxruntime
 
 all_faces = None
 log_level = 'error'
-cpu_threads = None
+cpu_cores = None
 gpu_threads = None
 gpu_vendor = None
 providers = onnxruntime.get_available_providers()