File size: 955 Bytes
53a486a aeffb03 d0e7b1c aeffb03 2738ef6 6924681 53a486a 3fd2351 740fcce 2856e12 64a28ff 146344a c4ffd7c a5766e7 e5422ff ae274a0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
---
license: mit
datasets:
- biplab2008/viscositydset
language:
- en
metrics:
- name: r_squared
type: r_squared
value: 0.906
tags:
- chemistry
- pytorch
- video-regression
pipeline_tag: image-feature-extraction
---
# Viscosity Regression Model
Regress the viscosity value [cP] directly from videos using CNN3D and Feedforward NN; no need for hand-crafted feature engineering.
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6632618508a36fda54f27609/w_HLzfUAq33Qo4gS2MsXw.png)
# Example of Video Frames
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6632618508a36fda54f27609/o9oitVnhhZpAG7OrT0LuE.mp4"></video>
# Model Architecture
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6632618508a36fda54f27609/PHnchHN6_dAC9o8bo9Tvs.png)
## Train & Test R2
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6632618508a36fda54f27609/7q6Xrx8upSIwIwgC1wEEw.png)
|