Wanted to try thin2_async.vpy, so I adjusted the paths to:
but starting the script preview (in vsViewer) I got:
(same with the other two scripts)
Cu Selur
# Imports
import vapoursynth as vs
# getting Vapoursynth core
import sys
import os
core = vs.core
# Import scripts folder
scriptPath = 'f:/Hybrid/64bit/vsscripts'
sys.path.insert(0, os.path.abspath(scriptPath))
# loading plugins
core.std.LoadPlugin(path="f:/Hybrid/64bit/vsfilters/Support/fmtconv.dll")
core.std.LoadPlugin(path="f:/Hybrid/64bit/vsfilters/MiscFilter/MiscFilters/MiscFilters.dll")
core.std.LoadPlugin(path="f:/Hybrid/64bit/vsfilters/SourceFilter/LSmashSource/LSMASHSource.dll")
# Import scripts
import validate
# Source: 'D:\PProjects\colormnet\tests\thing2.mp4'
# Current color space: YUV420P8, bit depth: 8, resolution: 384x280, frame rate: 25fps, scanorder: progressive, yuv luminance scale: limited, matrix: 709, format: AVC
# Loading D:\PProjects\colormnet\tests\thing2.mp4 using LWLibavSource
clip = core.lsmas.LWLibavSource(source="thing2.mp4", format="YUV420P8", stream_index=0, cache=0, fpsnum=25, prefer_hw=0)
frame = clip.get_frame(0)
# setting color matrix to 709.
clip = core.std.SetFrameProps(clip, _Matrix=vs.MATRIX_BT709)
# setting color transfer (vs.TRANSFER_BT601), if it is not set.
if validate.transferIsInvalid(clip):
clip = core.std.SetFrameProps(clip=clip, _Transfer=vs.TRANSFER_BT601)
# setting color primaries info (to vs.PRIMARIES_BT470_BG), if it is not set.
if validate.primariesIsInvalid(clip):
clip = core.std.SetFrameProps(clip=clip, _Primaries=vs.PRIMARIES_BT470_BG)
# setting color range to TV (limited) range.
clip = core.std.SetFrameProps(clip=clip, _ColorRange=vs.RANGE_LIMITED)
# making sure frame rate is set to 25fps
clip = core.std.AssumeFPS(clip=clip, fpsnum=25, fpsden=1)
# making sure the detected scan type is set (detected: progressive)
clip = core.std.SetFrameProps(clip=clip, _FieldBased=vs.FIELD_PROGRESSIVE) # progressive
# changing range from limited to full range for vsDeOldify
clip = core.resize.Bicubic(clip, range_in_s="limited", range_s="full")
# setting color range to PC (full) range.
clip = core.std.SetFrameProps(clip=clip, _ColorRange=vs.RANGE_FULL)
# adjusting color space from YUV420P8 to RGB24 for vsDeOldify
clip = core.resize.Bicubic(clip=clip, format=vs.RGB24, matrix_in_s="709", range_s="full")
# adding colors using DeOldify
from vsdeoldify import HAVC_deepex
clip = HAVC_deepex(clip=clip, method=4, ref_merge=0, dark=True, smooth=False, max_memory_frames=8,
sc_framedir="ref", ex_model=0, encode_mode=1)
# changing range from full to limited range for vsDeOldify
clip = core.resize.Bicubic(clip, range_in_s="full", range_s="limited")
# no resizing since resolution is already archived
# adjusting output color from: RGB24 to YUV420P10 for x265Model
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="709", range_s="limited")
# set output frame rate to 25fps (progressive)
clip = core.std.AssumeFPS(clip=clip, fpsnum=25, fpsden=1)
# output
clip.set_output()2024-09-19 15:04:39.495
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\gen_doc\gen_notebooks.py:63: SyntaxWarning: invalid escape sequence '\s'
match = re.match(f"^({key})\s*=\s*.*", codestr)
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\gen_doc\gen_notebooks.py:63: SyntaxWarning: invalid escape sequence '\s'
match = re.match(f"^({key})\s*=\s*.*", codestr)
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\gen_doc\gen_notebooks.py:216: SyntaxWarning: invalid escape sequence '\('
if re.search(f"update_nb_metadata\('{fn}'", c['source']): return c
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\gen_doc\gen_notebooks.py:216: SyntaxWarning: invalid escape sequence '\('
if re.search(f"update_nb_metadata\('{fn}'", c['source']): return c
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model.load_state_dict(torch.load(vgg19_gray_path))
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model.load_state_dict(torch.load(vgg19_gray_path))
2024-09-19 15:04:44.694
Failed to evaluate the script:
Python exception: 'NoneType' object has no attribute 'write'
Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3365, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3366, in vapoursynth._vpy_evaluate
File "C:\Users\Selur\Desktop\sample\thing2_async.vpy", line 43, in
clip = HAVC_deepex(clip=clip, method=4, ref_merge=0, dark=True, smooth=False, max_memory_frames=8,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 540, in HAVC_deepex
clip_colored = vs_colormnet(clip, clip_ref, image_size=-1, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 44, in vs_colormnet
return vs_colormnet_async(clip, clip_ref, image_size, enable_resize, frame_propagate, max_memory_frames)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 203, in vs_colormnet_async
colorizer = colormnet_colorizer(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 45, in colormnet_colorizer
return ColorMNetRender(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 80, in __init__
self._colorize_init(image_size, vid_length)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 134, in _colorize_init
self.network = ColorMNet(self.config, self.config['model']).cuda().eval()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\network.py", line 30, in __init__
self.key_encoder = KeyEncoder_DINOv2_v6()
^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\modules.py", line 161, in __init__
network = resnet.resnet50(pretrained=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\resnet.py", line 170, in resnet50
load_weights_add_extra_dim(model, model_zoo.load_url(model_urls['resnet50']), extra_dim)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\hub.py", line 855, in load_state_dict_from_url
sys.stderr.write(f'Downloading: "{url}" to {cached_file}\n')
^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'write' (same with the other two scripts)Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.