=== Help ===
usage: inference_video.py [-h] [--video VIDEO] [--output OUTPUT] [--img IMG]
[--montage] [--model MODELDIR] [--fp16] [--UHD]
[--scale SCALE] [--skip] [--fps FPS] [--png]
[--ext EXT] [--exp EXP] [--multi MULTI]
Interpolation for a pair of images
options:
-h, --help show this help message and exit
--video VIDEO
--output OUTPUT
--img IMG
--montage montage origin video
--model MODELDIR directory with trained model files
--fp16 fp16 mode for faster and more lightweight inference on
cards with Tensor Cores
--UHD support 4k video
--scale SCALE Try scale=0.5 for 4k video
--skip whether to remove static frames before processing
--fps FPS
--png whether to vid_out png format vid_outs
--ext EXT vid_out video extension
--exp EXP
--multi MULTI
STDERR:
=== Запуск с полным выводом ===
STDOUT:
Loaded 3.x/4.x HD model.
STDERR:
Traceback (most recent call last):
File "/content/Practical-RIFE/inference_video.py", line 112, in <module>
lastframe = next(videogen)
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/skvideo/io/io.py", line 251, in vreader
reader = FFmpegReader(fname, inputdict=inputdict, outputdict=outputdict, verbosity=verbosity)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/skvideo/io/ffmpeg.py", line 103, in __init__
self.inputfps = np.float(parts[0])/np.float(parts[1])
^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/numpy/__init__.py", line 394, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'float16'?
Код: 1