SeetaDet
SeetaDet is a platform implementing popular object detection algorithms.
This platform works with SeetaDragon, and uses the PyTorch style.
Installation
Install from PyPI:
pip install seeta-det
Or, clone this repository to local disk and install:
cd seetadet && pip install .
You can also install from the remote repository:
pip install git+ssh://git@github.com/seetaresearch/seetadet.git
If you prefer to develop locally, build but not install to site-packages:
cd seetadet && python setup.py build
Quick Start
Train a detection model
cd tools
python train.py --cfg <MODEL_YAML>
We have provided the default YAML examples into configs.
Test a detection model
cd tools
python test.py --cfg <MODEL_YAML> --exp_dir <EXP_DIR> --iter <ITERATION>
Export a detection model to ONNX
cd tools
python export.py --cfg <MODEL_YAML> --exp_dir <EXP_DIR> --iter <ITERATION>
Serve a detection model
cd tools
python serve.py --cfg <MODEL_YAML> --exp_dir <EXP_DIR> --iter <ITERATION>
Benchmark and Model Zoo
Results and models are available in the Model Zoo.
License
Metadata
Release files for seeta-det 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seeta-det-0.1.0.tar.gz | 1.4 MB | Details |
Release files / seeta-det-0.1.0.tar.gz
| Download URL | seeta-det-0.1.0.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
49e8f72c0c4ec5d729016ad760bfd18f083071dc6830887afd8b534cbeca080f
|
|
BLAKE2b-256 checksum How to use checksums |
ef454e7163ba8796e0d383d7d49aeea42c35f16a0452bfb3d36b4217e5b55b4c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|