Comments (6)
CUDA_MODULE_LOADING
is already set to LAZY
on
Line 21 in 23511d6
subprocess.run()
with a custom env
argument.from vs-dpir.
Yeah that's why im confused. Im simply running the script using
vspipe -c y4m denoise.vpy - | mpv -
My script:
import vapoursynth as vs
import os
core = vs.core
from vsdpir import dpir
clip = core.ffms2.Source(source='./testclip.mkv')
clip = core.resize.Spline16(clip, format=vs.RGBS, matrix_in_s="470bg", dither_type="error_diffusion")
ret = dpir(clip, trt=True, tile_w=854, tile_h=480)
ret = core.resize.Spline16(clip=ret, format=vs.YUV420P16, matrix_s="709", range_s="full")
ret.set_output()
from vs-dpir.
What do you get if you run python -c "import vsdpir; print(vsdpir.__version__)" under cmd?
from vs-dpir.
What do you get if you run
python -c "import vsdpir; print(vsdpir.__version__)" under cmd?
Sorry for answering this late. I'm getting 3.1.1
from vs-dpir.
Then I have no idea what's the culprit, sorry. Maybe try manually adding CUDA_MODULE_LOADING
to your system environment variable.
from vs-dpir.
Got it working fine when setting the env var within my shell instead.
from vs-dpir.
Related Issues (19)
- Random black specks on output compared to original DPIR HOT 10
- Many errors HOT 1
- [SUGGESTION] Awesome-Super-Resolution HOT 1
- "Only RGBS supported" HOT 1
- ONNX Runtime vs. provider selection? HOT 16
- Vapoursynth R58 HOT 1
- missing onnxruntime on setup.cfg(?) HOT 1
- fp16 mode for vs-swinir? HOT 1
- add 'NTIRE 2021 Video Super-Resolution' HOT 1
- Update dpir inline with the newer setup like vs-rife?
- Support for task = 'sr' (super resolution) HOT 1
- Failed to evaluate the script HOT 4
- TensorRT whl for Vapoursynth R62, Python 3.11 ? HOT 5
- Make TensorRT dependencies optional
- torch 2.0 compatibility?
- Tensorrt is optional to use, but is still always required to be installed?
- name 'math' is not defined
- Use gray models when passing a GRAY clip HOT 1
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from vs-dpir.