Setting up a new environment using:
* created 'Vapoursynth'-folder
* downloaded 'Windows embeddable package (64-bit)' from https://www.python.org/downloads/release/python-3126/
* extracted it into the 'Vapoursynth'-folder
* downloaded 'VapourSynth64-Portable-R70' from https://github.com/vapoursynth/vapoursynth/releases
* extracted it into the 'Vapoursynth'-folder
* finished Vapoursynth portable installation:
* adjusted `python312._pth` by adding:
```
Scripts
Lib\site-packages
```
* installed pip:
* download get-pip.py from https://bootstrap.pypa.io/get-pip.py into the 'Vapoursynth'-folder
* `python get-pip.py`
* `python -m pip install wheel\VapourSynth-70-cp312-cp312-win_amd64.whl`
* install vsrife dependencies, by calling:
* `python -m pip install -U packaging setuptools wheel`
* `python -m pip install -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com` (without '--pre')
* installed CodeFormer by calling:
* `python -m pip install dlib-19.24.93-cp312-cp312-win_amd64` (from https://forum.selur.net/attachment.php?aid=2532)
* `python -m pip install vscodeformer-1.0.2-py3-none-any.whl` (from https://forum.selur.net/attachment.php?aid=2552)
* `python -m vscodeformer`
Using dlib fails:
2024-09-29 07:34:56.868
F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\vscodeformer\__init__.py:98: 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.
module.load_state_dict(torch.load(model_path, map_location="cpu")["params_ema"])
F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\vscodeformer\__init__.py:98: 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.
module.load_state_dict(torch.load(model_path, map_location="cpu")["params_ema"])
2024-09-29 07:34:57.135
Failed to evaluate the script:
Python exception: cannot access local variable 'dlib' where it is not associated with a value
Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile07_34_54_512.vpy", line 43, in
clip = CodeFormer(clip=clip, upscale=1, detector=1) # 640x352
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\vscodeformer\__init__.py", line 103, in codeformer
FaceRestoreHelper(upscale, det_model=detection_model, use_parse=True, device=device) for _ in range(num_streams)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 113, in __init__
self.face_detector, self.shape_predictor_5 = self.init_dlib()
^^^^^^^^^^^^^^^^
File "F:\workspace\Hybrid\debug\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 173, in init_dlib
face_detector = dlib.cnn_face_detection_model_v1(detection_path)
^^^^
UnboundLocalError: cannot access local variable 'dlib' where it is not associated with a value
Listing the installed packages using 'python -m pip list':
Package Version
------------------------ ------------------------
certifi 2024.8.30
charset-normalizer 3.3.2
colorama 0.4.6
dlib 19.24.92
filelock 3.13.1
fsspec 2024.6.1
idna 3.10
Jinja2 3.1.4
MarkupSafe 2.1.5
mpmath 1.3.0
networkx 3.3
numpy 1.26.4
nvidia-cuda-runtime-cu12 12.6.68
opencv-python 4.10.0.84
packaging 24.1
Pillow 10.1.0
pip 24.2
requests 2.32.3
setuptools 75.1.0
sympy 1.13.1
tensorrt-cu12 10.3.0
tensorrt-cu12_bindings 10.3.0
tensorrt-cu12_libs 10.3.0
torch 2.6.0.dev20240928+cu124
torch_tensorrt 2.6.0.dev20240926+cu124
torchvision 0.20.0.dev20240928+cu124
tqdm 4.66.5
typing_extensions 4.12.2
urllib3 2.2.3
VapourSynth 70
vscodeformer 1.0.2
wheel 0.44.0
Cu Selur
