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Deep-Live-Cam
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Significantly improve video resolution/quality using ESPCN_x4 model

pull/621/head
Michael 2024-09-23 02:48:59 +01:00
parent 1af9abda2f
commit 2066560a95
4 changed files with 32 additions and 14 deletions
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7
README.md
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@ -146,6 +146,7 @@ You can now use the virtual camera output (uses pyvirtualcam) by turning on the
Additional command line arguments are given below. To learn out what they do, check [this guide](https://github.com/s0md3v/roop/wiki/Advanced-Options).
```
options:
-h, --help show this help message and exit
@ -167,11 +168,17 @@ options:
--headless run in headless mode
--enhancer-upscale-factor Sets the upscale factor for the enhancer. Only applies if `face_enhancer` is set as a frame-processor
--source-image-scaling-factor Set the upscale factor for source images. Only applies if `face_swapper` is set as a frame-processor
-r SCALE, --super-resolution-scale-factor SCALE Super resolution scale factor, choices are 2, 3, 4
-v, --version show program's version number and exit
```
Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.
To improve the video quality, you can use the `super_resolution` frame processor after swapping the faces. It will enhance the video quality by 2x, 3x or 4x. You can set the upscale factor using the `-r` or `--super-resolution-scale-factor` argument.
Processing time will increase with the upscale factor, it's quite quick though.
```
## Credits
- [henryruhs](https://github.com/henryruhs): for being an irreplaceable contributor to the project
- [ffmpeg](https://ffmpeg.org/): for making video related operations easy

25
modules/core.py
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@ -51,14 +51,19 @@ def parse_args() -> None:
program.add_argument('-t', '--target', help='Select a target image or video', dest='target_path')
program.add_argument('-o', '--output', help='Select output file or directory', dest='output_path')
program.add_argument('--frame-processor', help='Pipeline of frame processors', dest='frame_processor',
default=['face_swapper'], choices=['face_swapper', 'face_enhancer', 'super_resolution'], nargs='+')
default=['face_swapper'], choices=['face_swapper', 'face_enhancer', 'super_resolution'],
nargs='+')
program.add_argument('--keep-fps', help='Keep original fps', dest='keep_fps', action='store_true', default=False)
program.add_argument('--keep-audio', help='Keep original audio', dest='keep_audio', action='store_true', default=True)
program.add_argument('--keep-frames', help='Keep temporary frames', dest='keep_frames', action='store_true', default=False)
program.add_argument('--many-faces', help='Process every face', dest='many_faces', action='store_true', default=False)
program.add_argument('--keep-audio', help='Keep original audio', dest='keep_audio', action='store_true',
default=True)
program.add_argument('--keep-frames', help='Keep temporary frames', dest='keep_frames', action='store_true',
default=False)
program.add_argument('--many-faces', help='Process every face', dest='many_faces', action='store_true',
default=False)
program.add_argument('--video-encoder', help='Adjust output video encoder', dest='video_encoder', default='libx264',
choices=['libx264', 'libx265', 'libvpx-vp9'])
program.add_argument('--video-quality', help='Adjust output video quality', dest='video_quality', type=int, default=18,
program.add_argument('--video-quality', help='Adjust output video quality', dest='video_quality', type=int,
default=18,
choices=range(52), metavar='[0-51]')
program.add_argument('--live-mirror', help='The live camera display as you see it in the front-facing camera frame',
dest='live_mirror', action='store_true', default=False)
@ -76,6 +81,8 @@ def parse_args() -> None:
dest='enhancer_upscale_factor', type=int, default=1)
program.add_argument('--source-image-scaling-factor', help='Set the upscale factor for source images',
dest='source_image_scaling_factor', default=2, type=int)
program.add_argument('-r', '--super-resolution-scale-factor', dest='super_resolution_scale_factor',
help='Set the upscale factor for super resolution', default=4, choices=[2, 3, 4], type=int)
program.add_argument('-v', '--version', action='version',
version=f'{modules.metadata.name} {modules.metadata.version}')
@ -107,6 +114,7 @@ def parse_args() -> None:
modules.globals.headless = args.headless
modules.globals.enhancer_upscale_factor = args.enhancer_upscale_factor
modules.globals.source_image_scaling_factor = args.source_image_scaling_factor
modules.globals.sr_scale_factor = args.super_resolution_scale_factor
# Handle face enhancer tumbler
modules.globals.fp_ui['face_enhancer'] = 'face_enhancer' in args.frame_processor
@ -191,12 +199,14 @@ def limit_resources() -> None:
try:
soft, hard = resource.getrlimit(resource.RLIMIT_DATA)
if memory > hard:
print(f"Warning: Requested memory limit {memory / (1024 ** 3)} GB exceeds system's hard limit. Setting to maximum allowed {hard / (1024 ** 3)} GB.")
print(
f"Warning: Requested memory limit {memory / (1024 ** 3)} GB exceeds system's hard limit. Setting to maximum allowed {hard / (1024 ** 3)} GB.")
memory = hard
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
except ValueError as e:
print(f"Warning: Could not set memory limit: {e}. Continuing with default limits.")
def release_resources() -> None:
if 'cuda' in modules.globals.execution_providers:
torch.cuda.empty_cache()
@ -250,7 +260,8 @@ def process_image_to_image() -> None:
for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
update_status('Processing...', frame_processor.NAME)
frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path)
frame_processor.process_image(modules.globals.source_path, modules.globals.output_path,
modules.globals.output_path)
release_resources()
if is_image(modules.globals.target_path):

3
modules/globals.py
View File

@ -31,4 +31,5 @@ nsfw = None
camera_input_combobox = None
webcam_preview_running = False
enhancer_upscale_factor = 1
source_image_scaling_factor = 2
source_image_scaling_factor = 2
sr_scale_factor = 4

11
modules/processors/frame/super_resolution.py
View File

@ -20,7 +20,7 @@ class SuperResolutionModel:
_instance = None
_lock = threading.Lock()
def __init__(self, sr_model_path: str = 'ESPCN_x4.pb'):
def __init__(self, sr_model_path: str = f'ESPCN_x{modules.globals.sr_scale_factor}.pb'):
if SuperResolutionModel._instance is not None:
raise Exception("This class is a singleton!")
self.sr = cv2.dnn_superres.DnnSuperResImpl_create()
@ -29,21 +29,20 @@ class SuperResolutionModel:
raise FileNotFoundError(f"Super-resolution model not found at {self.model_path}")
try:
self.sr.readModel(self.model_path)
self.sr.setModel("espcn", 4) # Using ESPCN with 4x upscaling
self.sr.setModel("espcn", modules.globals.sr_scale_factor) # Using ESPCN with 2,3 or 4x upscaling
except Exception as e:
print(f"Error during super-resolution model initialization: {e}")
raise e
@classmethod
def get_instance(cls, sr_model_path: str = 'ESPCN_x4.pb'):
def get_instance(cls, sr_model_path: str = f'ESPCN_x{modules.globals.sr_scale_factor}.pb'):
if cls._instance is None:
with cls._lock:
if cls._instance is None:
try:
cls._instance = cls(sr_model_path)
except Exception as e:
print(f"Failed to initialize SuperResolutionModel: {e}")
return None
raise RuntimeError(f"Failed to initialize SuperResolution: {str(e)}")
return cls._instance
@ -54,7 +53,7 @@ def pre_check() -> bool:
download_directory_path = resolve_relative_path('../models')
# Download the super-resolution model as well
conditional_download(download_directory_path, [
'https://huggingface.co/spaces/PabloGabrielSch/AI_Resolution_Upscaler_And_Resizer/resolve/bcd13b766a9499196e8becbe453c4a848673b3b6/models/ESPCN_x4.pb'
f'https://huggingface.co/spaces/PabloGabrielSch/AI_Resolution_Upscaler_And_Resizer/resolve/bcd13b766a9499196e8becbe453c4a848673b3b6/models/ESPCN_x{modules.globals.sr_scale_factor}.pb'
])
return True