qc903113684 commited on
Commit
913dabb
·
verified ·
1 Parent(s): ab5a6e6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +34 -5
README.md CHANGED
@@ -1,5 +1,34 @@
1
- ---
2
- license: other
3
- license_name: aplux-model-farm-license
4
- license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
5
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ license_name: aplux-model-farm-license
4
+ license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
5
+ ---
6
+
7
+ ![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F%25E5%259B%25BE-25.png&w=640&q=75)
8
+
9
+ ## DeepLab-V3-Plus (MobileNet): Semantic Segmentation
10
+
11
+ DeepLab-V3-Plus (MobileNet) is a lightweight semantic segmentation model that combines the DeepLab-V3-Plus architecture with MobileNet. DeepLab-V3-Plus is an advanced framework for semantic segmentation, using Atrous Spatial Pyramid Pooling (ASPP) and an encoder-decoder structure to improve segmentation accuracy. MobileNet, known for its efficiency, reduces computational complexity and model size. By using MobileNet as the backbone of DeepLab-V3-Plus, this model can perform high-quality semantic segmentation on mobile or edge devices with limited computational resources. It is widely used in real-time segmentation tasks such as autonomous driving, medical image analysis, and augmented reality.
12
+
13
+ ### Source model
14
+
15
+ - Input shape: 513x513
16
+ - Number of parameters: 5.55M
17
+ - Model size: 22.16M
18
+ - Output shape: 1x21x513x513
19
+
20
+ Source model repository: [DeepLab-V3-Plus (MobileNet)](https://github.com/jfzhang95/pytorch-deeplab-xception)
21
+
22
+ ## Performance Reference
23
+
24
+ Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
25
+
26
+ ## Inference & Model Conversion
27
+
28
+ Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
29
+
30
+ ## License
31
+
32
+ - Source Model: [MIT](https://github.com/jfzhang95/pytorch-deeplab-xception/blob/master/LICENSE)
33
+
34
+ - Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)