Merge b18a6095c1 into e531f6f26e

improved performance

README.md

@@ -71,6 +71,8 @@ brew install python-tk@3.10
 
 **Run:** If you don't have a GPU, you can run Deep-Live-Cam using `python run.py`. Note that initial execution will download models (~300MB).
 
+> Note: If you have WSL1 then you need to install an X server on Windows (e.g Xming), while if you have WSL2 you no need to do that. The link [here](https://askubuntu.com/a/1418950) describes the options to configure DISPLAY variable depending on your environment.
+
 
 ### GPU Acceleration (Optional)
 

modules/metadata.py

@@ -1,3 +1,3 @@
 name = 'Deep Live Cam'
-version = '1.5.0'
+version = '1.6.0'
 edition = 'Portable'

modules/processors/frame/face_swapper.py

@@ -18,7 +18,7 @@ NAME = 'DLC.FACE-SWAPPER'
 
 def pre_check() -> bool:
     download_directory_path = resolve_relative_path('../models')
-    conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx'])
+    conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx'])
     return True
 
 
@@ -40,7 +40,7 @@ def get_face_swapper() -> Any:
 
     with THREAD_LOCK:
         if FACE_SWAPPER is None:
-            model_path = resolve_relative_path('../models/inswapper_128.onnx')
+            model_path = resolve_relative_path('../models/inswapper_128_fp16.onnx')
             FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
     return FACE_SWAPPER
 

requirements.txt

@@ -2,6 +2,7 @@
 
 numpy>=1.23.5,<2
 opencv-python==4.8.1.78
+cv2_enumerate_cameras==1.1.15
 onnx==1.16.0
 insightface==0.7.3
 psutil==5.9.8