Next (#107)
* Allow passing the onnxruntime to install.py * Fix CI * Disallow none execution providers in the UI * Use CV2 to detect fps * Respect trim on videos with audio * Respect trim on videos with audio (finally) * Implement caching to speed up preview and webcam * Define webcam UI and webcam performance * Remove layout from components * Add primary buttons * Extract benchmark and webcam settings * Introduce compact UI settings * Caching for IO and **** prediction * Caching for IO and **** prediction * Introduce face analyser caching * Fix some typing * Improve setup for benchmark * Clear image cache via post process * Fix settings in UI, Simplify restore_audio() using shortest * Select resolution and fps via webcam ui * Introduce read_static_image() to stop caching temp images * Use DirectShow under Windows * Multi-threading for webcam * Fix typing * Refactor frame processor * Refactor webcam processing * Avoid warnings due capture.isOpened() * Resume downloads (#110) * Introduce resumable downloads * Fix CURL commands * Break execution_settings into pieces * Cosmetic changes on cv2 webcam * Update Gradio * Move face cache to own file * Uniform namings for threading * Fix sorting of get_temp_frame_paths(), extend get_temp_frames_pattern() * Minor changes from the review * Looks stable to tme * Update the disclaimer * Update the disclaimer * Update the disclaimer
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@@ -1,6 +1,6 @@
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import gradio
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from facefusion.uis.components import about, processors, execution, limit_resources, temp_frame, output_settings, settings, source, target, preview, trim_frame, face_analyser, face_selector, output
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from facefusion.uis.components import about, processors, execution, execution_thread_count, execution_queue_count, limit_resources, temp_frame, output_settings, settings, source, target, preview, trim_frame, face_analyser, face_selector, output
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def pre_check() -> bool:
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@@ -15,28 +15,46 @@ def render() -> gradio.Blocks:
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with gradio.Blocks() as layout:
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with gradio.Row():
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with gradio.Column(scale = 2):
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about.render()
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processors.render()
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execution.render()
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limit_resources.render()
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temp_frame.render()
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output_settings.render()
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settings.render()
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with gradio.Box():
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about.render()
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with gradio.Blocks():
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processors.render()
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with gradio.Blocks():
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execution.render()
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execution_thread_count.render()
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execution_queue_count.render()
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with gradio.Blocks():
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limit_resources.render()
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with gradio.Blocks():
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temp_frame.render()
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with gradio.Blocks():
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output_settings.render()
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with gradio.Blocks():
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settings.render()
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with gradio.Column(scale = 2):
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source.render()
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target.render()
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output.render()
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with gradio.Blocks():
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source.render()
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with gradio.Blocks():
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target.render()
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with gradio.Blocks():
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output.render()
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with gradio.Column(scale = 3):
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preview.render()
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trim_frame.render()
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face_selector.render()
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face_analyser.render()
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with gradio.Blocks():
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preview.render()
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with gradio.Row():
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trim_frame.render()
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with gradio.Blocks():
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face_selector.render()
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with gradio.Row():
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face_analyser.render()
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return layout
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def listen() -> None:
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processors.listen()
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execution.listen()
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execution_thread_count.listen()
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execution_queue_count.listen()
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limit_resources.listen()
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temp_frame.listen()
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output_settings.listen()
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