MFDIN
Multiframe Joint Enhancement for Early Interlaced Videos, based on https://github.com/anymyb/MFDIN.
Dependencies
- PyTorch 2.5.1 or later
- VapourSynth R66 or later
trt requires additional packages:
- TensorRT 10.3.0 or later
- Torch-TensorRT 2.5.0 or later
To install the latest nightly build of PyTorch and Torch-TensorRT, run:
pip install -U packaging setuptools wheel
pip install --pre -U torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu124
pip install --no-deps --pre -U torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124
pip install -U tensorrt-cu12 tensorrt-cu12_bindings tensorrt-cu12_libs --extra-index-url https://pypi.nvidia.com
Installation
pip install -U vsmfdin
Usage
from vsmfdin import mfdin
ret = mfdin(clip)
See __init__.py for the description of the parameters.
1 maintainer
Metadata
1 maintainer
Release files for vsmfdin 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vsmfdin-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / vsmfdin-1.0.0-py3-none-any.whl
| Download URL | vsmfdin-1.0.0-py3-none-any.whl |
|---|---|
| Size | 6.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
73c1135ea503ff4330f39ccfe1fd03bfb6ef74d30eefa6738497467347aef3d7
|
|
BLAKE2b-256 checksum How to use checksums |
6f835b0cd18b6abdca943f3a9edec02cc1a91c24dce9b8c03420bbd6ac28848e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
