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85c8454765
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@ -71,6 +71,8 @@ brew install python-tk@3.10
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**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).
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> 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.
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### GPU Acceleration (Optional)
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@ -379,6 +381,10 @@ For the latest experimental builds and features, see the [experimental branch](h
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This is an open-source project developed in our free time. Updates may be delayed.
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**Tips and Links:**
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- [How to make the most of Deep-Live-Cam](https://hacksider.gumroad.com/p/how-to-make-the-most-on-deep-live-cam)
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- Face enhancer is good, but still very slow for any live streaming purpose.
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## Credits
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@ -229,7 +229,7 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
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color_correction_value = ctk.BooleanVar(value=modules.globals.color_correction)
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color_correction_switch = ctk.CTkSwitch(
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root,
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text="Fix Blueish Cam\n(force cv2 to use RGB instead of BGR)",
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text="Fix Blueish Cam",
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variable=color_correction_value,
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cursor="hand2",
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command=lambda: (
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@ -514,6 +514,12 @@ def update_pop_live_status(text: str) -> None:
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def update_tumbler(var: str, value: bool) -> None:
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modules.globals.fp_ui[var] = value
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save_switch_states()
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# If we're currently in a live preview, update the frame processors
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if PREVIEW.state() == "normal":
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global frame_processors
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frame_processors = get_frame_processors_modules(
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modules.globals.frame_processors
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)
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def select_source_path() -> None:
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@ -753,6 +759,8 @@ def create_webcam_preview(camera_index: int):
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source_image = None
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prev_time = time.time()
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fps_update_interval = 0.5 # Update FPS every 0.5 seconds
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frame_count = 0
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fps = 0
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while camera:
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@ -775,22 +783,33 @@ def create_webcam_preview(camera_index: int):
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source_image = get_one_face(cv2.imread(modules.globals.source_path))
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for frame_processor in frame_processors:
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temp_frame = frame_processor.process_frame(source_image, temp_frame)
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if frame_processor.NAME == "DLC.FACE-ENHANCER":
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if modules.globals.fp_ui["face_enhancer"]:
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temp_frame = frame_processor.process_frame(None, temp_frame)
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else:
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temp_frame = frame_processor.process_frame(source_image, temp_frame)
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else:
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modules.globals.target_path = None
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for frame_processor in frame_processors:
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temp_frame = frame_processor.process_frame_v2(temp_frame)
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if frame_processor.NAME == "DLC.FACE-ENHANCER":
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if modules.globals.fp_ui["face_enhancer"]:
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temp_frame = frame_processor.process_frame_v2(temp_frame)
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else:
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temp_frame = frame_processor.process_frame_v2(temp_frame)
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# Calculate and display FPS
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current_time = time.time()
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fps = 1 / (current_time - prev_time)
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prev_time = current_time
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frame_count += 1
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if current_time - prev_time >= fps_update_interval:
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fps = frame_count / (current_time - prev_time)
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frame_count = 0
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prev_time = current_time
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if modules.globals.show_fps:
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cv2.putText(
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temp_frame,
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f"FPS: {fps:.2f}",
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f"FPS: {fps:.1f}",
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(10, 30),
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cv2.FONT_HERSHEY_SIMPLEX,
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1,
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