Comments (6)
Practical-RIFE/inference_video.py
Line 93 in 9172373
Does train_log/RIFE_HDv3.py exist?
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Yes, it's in
/Users/x/Practical-RIFE/train_log/RIFE_HDv3.py
from practical-rife.
You can test it at the python3 command line to figure out the issue.
from train_log.RIFE_HDv3 import Model
model = Model()
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It turns out that I did not clone the project correctly upon the initial installation. inference_video.py now runs.
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@GlimmerFromDistrict1 @hzwer
I'm having this same issue. Doesn't work when cloned by GitHub Desktop or by plain old Git, what did you do differently?
Please download our model from model list
Traceback (most recent call last):
File "/home/MonocleRB/git/Practical-RIFE/inference_video.py", line 96, in <module>
model = Model()
^^^^^
NameError: name 'Model' is not defined
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When putting just the offending line (line 96) in its own .py file and running that, I got this:
\Traceback (most recent call last):
File "/home/MonocleRB/git/Practical-RIFE/test.py", line 1, in <module>
from train_log.RIFE_HDv3 import Model
File "/home/MonocleRB/git/Practical-RIFE/train_log/RIFE_HDv3.py", line 11, in <module>
from model.loss import *
File "/home/MonocleRB/git/Practical-RIFE/model/loss.py", line 5, in <module>
import torchvision.models as models
ModuleNotFoundError: No module named 'torchvision'
So the try/except statement was hiding the real errors.
Installing python-torchvision solved the issue.
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Related Issues (20)
- Rife v4.14 lite HOT 6
- model.update中的loss_cons相关问题 HOT 1
- import nori2 as nori HOT 1
- Do you have charted out performance of different models HOT 4
- Nothing work "model no defined"
- He cant find ffmpeg HOT 2
- Video Freeze after Frame Interpolation
- 训练问题 HOT 2
- ONNX export script HOT 2
- Model Training HOT 4
- Practical RIFE vs ECCV2022 RIFE teacher differences HOT 4
- FFMPEG arguments? HOT 2
- Absence of refinenet in training scripts HOT 2
- Deeper guide for arguments HOT 2
- Will there be another Rife model? HOT 12
- Request to incorporate InterpAny-Clearer's technology in Practical-RIFE HOT 4
- 可否增加rife v4.17 lite? HOT 2
- How to avoid RIFE from Re-encoding output to MPEG codec HOT 1
- Torch_TensorRT inference? HOT 1
- Core dump *after* processing is done
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