HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Docs Prettier reformat (#13483)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-06-10 12:59:01 +02:00 • committed by GitHub
parent 2f2e81614f
commit e5185ccf63
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
90 changed files with 763 additions and 742 deletions
Download patch file Download diff file Expand all files Collapse all files

10
docs/en/models/mobile-sam.md
View file

@ -21,8 +21,8 @@ MobileSAM is trained on a single GPU with a 100k dataset (1% of the original ima
This table presents the available models with their specific pre-trained weights, the tasks they support, and their compatibility with different operating modes like [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md), indicated by ✅ emojis for supported modes and ❌ emojis for unsupported modes.
| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
|------------|-----------------------------------------------------------------------------------------------|----------------------------------------------|-----------|------------|----------|--------|
| MobileSAM | [mobile_sam.pt](https://github.com/ultralytics/assets/releases/download/v8.2.0/mobile_sam.pt) | [Instance Segmentation](../tasks/segment.md) | ✅ | ❌ | ❌ | ❌ |
| ---------- | --------------------------------------------------------------------------------------------- | -------------------------------------------- | --------- | ---------- | -------- | ------ |
| MobileSAM | [mobile_sam.pt](https://github.com/ultralytics/assets/releases/download/v8.2.0/mobile_sam.pt) | [Instance Segmentation](../tasks/segment.md) | ✅ | ❌ | ❌ | ❌ |
## Adapting from SAM to MobileSAM
@ -33,21 +33,21 @@ MobileSAM performs comparably to the original SAM and retains the same pipeline
The following table provides a comparison of ViT-based image encoders:
| Image Encoder | Original SAM | MobileSAM |
|---------------|--------------|-----------|
| ------------- | ------------ | --------- |
| Parameters | 611M | 5M |
| Speed | 452ms | 8ms |
Both the original SAM and MobileSAM utilize the same prompt-guided mask decoder:
| Mask Decoder | Original SAM | MobileSAM |
|--------------|--------------|-----------|
| ------------ | ------------ | --------- |
| Parameters | 3.876M | 3.876M |
| Speed | 4ms | 4ms |
Here is the comparison of the whole pipeline:
| Whole Pipeline (Enc+Dec) | Original SAM | MobileSAM |
|--------------------------|--------------|-----------|
| ------------------------ | ------------ | --------- |
| Parameters | 615M | 9.66M |
| Speed | 456ms | 12ms |