Closed shinshin86 closed 10 months ago
Yesterday I used latest version of torchvision to test. You could try that.
@hooke007 Thanks for your comment! However, I am still getting the same error when I try the latest version.
Error log
ERROR: Could not find a version that satisfies the requirement torchvision==0.7.0 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0)
ERROR: No matching distribution found for torchvision==0.7.0
Here is the code I ran at Google Colab.
%cd /content
!git clone https://github.com/hzwer/Practical-RIFE
%cd /content/Practical-RIFE/
!pip3 install -r requirements.txt
What is the latest version of torchvision
?
(I read and ran requirements.txt
, but maybe I am misinterpreting your comment)
No, I didn't run pip3 install -r requirements.txt
. I pip install every deps one by one instead. Every deps' latest version works fine except numpy
Or you could edit requirements and then do as previous workflow.
--- torchvision==0.7.0
+++ torchvision>=0.7.0
Or you could edit requirements and then do as previous workflow.
--- torchvision==0.7.0 +++ torchvision>=0.7.0
@hooke007 Thank you! It worked with what you taught me! My question has been answered, so I'll close this issue here.
Thanks for your comment!
Hello! I tried to with Google Colab using
Colab_demo.ipynb
as a reference and encountered the following error.As a result, I was able to start using it successfully by deleting the line
torchvision==0.7.0
fromrequirements.txt
.For example, I was thinking that if someone like me tries to use Google Colab in the future, I could prepare a
requirements_google_colab.txt
so that they can try it without encountering any problems, what do you think? (Maybe morerequirements.txt
to manage is not a good thing...)