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)