We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Problems: Use demo to test action classification on kinetics-700 validation set but get very poor result
Experiment:
example: input:carving ice/nTnAoTQ41Nc_000011_000021.mp4 output: text: coloring in ~ prob: 0.0085 text: acting in play ~ prob: 0.0053 text: smashing ~ prob: 0.0043 text: cracking knuckles ~ prob: 0.0041 text: tasting food ~ prob: 0.0040
The text was updated successfully, but these errors were encountered:
Can you try the VideoCLIP model?
Sorry, something went wrong.
Do you mean InternVideo2_CLIP in InternVideo2/multi_modality/scripts/evaluation/clip/zero_shot/1B/config_k400.py ? I'm a green hand in this field :PP
Do you mean abandon internvideo2 and turn to videoclip for action recognition?Your work seems very promising.
Yes. I'm not sure whether there is a bug in the demo. But I have tested the VideoCLIP on Kinetics and it runs normally.
No branches or pull requests
Problems: Use demo to test action classification on kinetics-700 validation set but get very poor result
Experiment:
example:
input:carving ice/nTnAoTQ41Nc_000011_000021.mp4
output:
text: coloring in ~ prob: 0.0085
text: acting in play ~ prob: 0.0053
text: smashing ~ prob: 0.0043
text: cracking knuckles ~ prob: 0.0041
text: tasting food ~ prob: 0.0040
The text was updated successfully, but these errors were encountered: