Significantly improve video resolution/quality using ESPCN_x4 model
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@ -198,7 +198,7 @@ options:
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-s SOURCE_PATH, --source SOURCE_PATH select a source image
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-t TARGET_PATH, --target TARGET_PATH select a target image or video
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-o OUTPUT_PATH, --output OUTPUT_PATH select output file or directory
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--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...] frame processors (choices: face_swapper, face_enhancer, ...)
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--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...] frame processors (choices: face_swapper, face_enhancer, super_resolution...)
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--keep-fps keep original fps
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--keep-audio keep original audio
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--keep-frames keep temporary frames
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@ -212,6 +212,9 @@ options:
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--max-memory MAX_MEMORY maximum amount of RAM in GB
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--execution-provider {cpu} [{cpu} ...] available execution provider (choices: cpu, ...)
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--execution-threads EXECUTION_THREADS number of execution threads
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--enhancer-upscale-factor Sets the upscale factor for the enhancer. Only applies if `face_enhancer` is set as a frame-processor
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--source-image-scaling-factor Set the upscale factor for source images. Only applies if `face_swapper` is set as a frame-processor
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-r SCALE, --super-resolution-scale-factor SCALE Super resolution scale factor, choices are 2, 3, 4
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-v, --version show program's version number and exit
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```
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@ -1,7 +1,7 @@
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--extra-index-url https://download.pytorch.org/whl/cu118
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numpy>=1.23.5,<2
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opencv-python==4.8.1.78
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opencv-contrib-python==4.10.0.84
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cv2_enumerate_cameras==1.1.15
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onnx==1.16.0
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insightface==0.7.3
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