A SAM model with GroundingDINO model
Project description
DiagAssistAI
#Installation
GSamNetwork requires python==3.10.12, as well as torch==2.4.0.
##Installing PyTorch
Make sure to check the version of Python that is compatible with your CUDA version at the following link: Installing torch locally.
In this project, CUDA 12.1 was used. You can install PyTorch with support for CUDA 12.1 using the following command:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
##Installing Package
To install the package, use:
pip install groundino-samnet
##Version 0.1.13
###Fixed
Resolved: Error using the bounding boxes and masks processing class
##Additions
Add: Long description with installation guide and URL to GitHub
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file groundino_samnet-0.1.13.tar.gz.
File metadata
- Download URL: groundino_samnet-0.1.13.tar.gz
- Upload date:
- Size: 169.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a49929f383f7e181b09a5f7dfc8e982f93cce3283bf93a6bab180f82bed683c3
|
|
| MD5 |
a39ca8d6ba3878ae7681d84f3f69bc60
|
|
| BLAKE2b-256 |
4fbd8cada6a21b0d8a9953d691910354b46a3ebd2863ee2c984f33b5b0b7929b
|
File details
Details for the file groundino_samnet-0.1.13-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: groundino_samnet-0.1.13-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 471.9 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba303df2174b928ab1df566aa04fb25f232a677684e5b0b4c433e6675ac5ec16
|
|
| MD5 |
5a1f02152ca64175fa8d6b4ea2803f3d
|
|
| BLAKE2b-256 |
4ee6c4bd06cc77f41b5a93387af5a182cc45ac55b79579c1ee818b90a1ca4477
|
