Upload 3 files
Browse files- README.md +42 -0
- model.py +16 -0
- sign_language_resnet50.pth +3 -0
README.md
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- image-classification
|
4 |
+
- pytorch
|
5 |
+
---
|
6 |
+
|
7 |
+
### Description
|
8 |
+
|
9 |
+
This model with transfer learning is trained to recognise Sign Language.
|
10 |
+
The model was trained on the basis of ResNet50.
|
11 |
+
The dataset was used for training https://huggingface.co/datasets/aliciiavs/sign_language_image_dataset
|
12 |
+
|
13 |
+
In `model.py` file you can find class of custom model.
|
14 |
+
For using model you need download `model.py`, import from it class `CustomResNetModel`,
|
15 |
+
create an example of this class and load and apply model weight from file
|
16 |
+
`sign_language_resnet50.pth`
|
17 |
+
Model's metrics: `loss: 0.5739429252889922` `accuracy: 0.901717`
|
18 |
+
|
19 |
+
#### Example of code
|
20 |
+
|
21 |
+
```
|
22 |
+
import torch
|
23 |
+
from huggingface_hub import hf_hub_download
|
24 |
+
|
25 |
+
from model import CustomResNetModel
|
26 |
+
|
27 |
+
device = "cuda" if torch.cuda.is_available() else "cpu"
|
28 |
+
model = CustomResNetModel(num_classes=24)
|
29 |
+
weight_path = hf_hub_download(
|
30 |
+
repo_id="Irgenija/sign_language_resnet50",
|
31 |
+
filename="sign_language_resnet50.pth",
|
32 |
+
)
|
33 |
+
if cls.device == "cpu":
|
34 |
+
checkpoint = torch.load(
|
35 |
+
weight_path, map_location=torch.device("cpu")
|
36 |
+
)
|
37 |
+
else:
|
38 |
+
checkpoint = torch.load(weight_path)
|
39 |
+
model.load_state_dict(checkpoint)
|
40 |
+
model = model.to(device) # Optional
|
41 |
+
model.eval()
|
42 |
+
```
|
model.py
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from torch import nn
|
2 |
+
from torchvision import models
|
3 |
+
|
4 |
+
|
5 |
+
class CustomResNetModel(nn.Module):
|
6 |
+
"""Custom model based on ResNet50."""
|
7 |
+
|
8 |
+
def __init__(self, num_classes=24):
|
9 |
+
super(CustomResNetModel, self).__init__()
|
10 |
+
self.model = models.resnet50(weights=models.ResNet50_Weights.IMAGENET1K_V2)
|
11 |
+
for param in self.model.parameters():
|
12 |
+
param.requires_grad = False
|
13 |
+
self.model.fc = nn.Linear(self.model.fc.in_features, num_classes)
|
14 |
+
|
15 |
+
def forward(self, x):
|
16 |
+
return self.model(x)
|
sign_language_resnet50.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3493e265ec4d110d036dfe7fe79403fb0208956ab473f979d8ee0a7a49624c2
|
3 |
+
size 94560442
|