Fine-grained image recognition
A package and command-line tool to quickly get from raw data to a production model. The main target is to train an object detector and a image classfier / similarity search model to detect and recognize fine-grained objects on images and video.
This package is built upon an open-source computer vision data management tool FiftyOne. It also provides an integration with a data annotation tool CVAT and a model-training framework Lightning Flash that are used to prepare data and train models.
Docs are temporarily hosted on Yandex.Cloud.
Structure
The package is structured as follows:
- data: data prep for training
- models: train, evaluate and export models
- services: interact with external services
Development installation
This package is managed with Poetry. To install the package in development mode, run the following command:
poetry install
pre-commit install
1 maintainer
Metadata
1 maintainer
Release files for finegrained 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| finegrained-0.1.4.tar.gz | 40.6 kB | Without provenance | Details for finegrained-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| finegrained-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for finegrained-0.1.4-py3-none-any.whl |
Total release size: 94.4 kB
Release files / finegrained-0.1.4.tar.gz
| Download URL | finegrained-0.1.4.tar.gz |
|---|---|
| Size | 40.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9b63cff46f3de7cbcbdf8914725f52c55a82772623475b599c07f44938d42f46
|
|
BLAKE2b-256 checksum How to use checksums |
bef1829e3e6287d6768f0fd870c36a879ff8601de962dad4aec6207d92e17560
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.10.6 Darwin/22.6.0
|
Release files / finegrained-0.1.4-py3-none-any.whl
| Download URL | finegrained-0.1.4-py3-none-any.whl |
|---|---|
| Size | 53.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d5d5de7c3964770bf96615769ba92cbbaa66a098c8c9d13776499a39f350eaac
|
|
BLAKE2b-256 checksum How to use checksums |
cf2322845b7de9ac63587fb5d9a347f22d63937a62b9f1be8bf003ac4789f81a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.10.6 Darwin/22.6.0
|
Security for finegrained 0.1.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
