Comments (1)
Hi,
For each video, first we get the predicted probability (101-D probability vector, sum up to 1) from both streams (here we get 2x101 probability vector).
Then we average these two probability vectors for each video (2x101 --> 1x101).
Then we get the top1/top5 predicted class for each video, then calculate accuracy for the entire testing set.
Example code is here: https://github.com/TengdaHan/CoCLR/blob/main/eval/merge_2stream_prob.py
To use this file, you have to save the output results following the instructions. Of course, you can write one script for yourself to do the average if it's more convenient.
This method was initially used in Two-Stream Network (https://arxiv.org/abs/1406.2199).
from coclr.
Related Issues (20)
- 2-Stream evaluation on UCF101 HOT 1
- Possible to share S3D model trained on UCF101 -RGB only end to end fine tuned (reported accuracy 81.4) HOT 1
- Making Kinetics-400 RGB lmdb dataset. HOT 2
- Command for Linear Probe and Finetuning HOT 1
- How to generate corresponding 'video_source.json'? HOT 1
- AttributeError: 'str' object has no attribute 'decode' HOT 2
- information about requirements and dateset preparations HOT 1
- lmdb_dataset.py txn.get(self.get_video_id[name].encode('ascii'))) HOT 6
- Issue about DistributedDataParallel(DDP) HOT 3
- Reproducing CoCLR RGB Results??? HOT 1
- Question about the code in eval/main_classifier.py HOT 2
- question about ten crop
- Can we design a downstream task for action detection? HOT 5
- Two-stream feature
- TypeError: order must be str, not int HOT 2
- main_classifier.py: error: unrecognized arguments: --final_bn
- I can't download the pretrained model HOT 1
- A question about convert_video_to_lmdb.py HOT 2
- Download Link of Checkpoint HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from coclr.