Skip to main content

Overlay of PyTorch to generalize trainning and inference processes for detection & instance segmentation tasks.

Project description

deepvisiontools

Torch overlay for trainning and inference processes for object detection & instance segmentation tasks.

💪 Context

deepvisiontools is developped by INRAE (french National Research Institute for Agriculture, Food and the Environment) and in PHENOME-EMPHASIS project.

Citations

deepvisiontools provide models wrapper that allow you to use differents models with all machinery available. It is the resposability of the user to cite properly the actual model developpers. In particular, if using one of these models : Yolo, SMP please cite the actual models developpers (which are not deepvisiontools). For instance for Yolo, please cite ultralytics (https://www.ultralytics.com/) or for SMP cite https://github.com/qubvel-org/segmentation_models.pytorch
Similar stands for other models.

Documentation

All documentation about deepvisiontools, including tutorials, can be found at : https://deepvisiontools.readthedocs.io/en/latest/

Installation

pip install deepvisiontools

License

GNU Affero General Public License v3 or later (AGPLv3+) (AGPL-3.0).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deepvisiontools-0.0.4.tar.gz (98.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

deepvisiontools-0.0.4-py3-none-any.whl (106.9 kB view details)

Uploaded Python 3

File details

Details for the file deepvisiontools-0.0.4.tar.gz.

File metadata

  • Download URL: deepvisiontools-0.0.4.tar.gz
  • Upload date:
  • Size: 98.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for deepvisiontools-0.0.4.tar.gz
Algorithm Hash digest
SHA256 1b7f66348e4378703e0e9796c1fbf97338ba06d9facee8adcbace79d3b71321e
MD5 8dd8c84c465c792bcf56d06472326048
BLAKE2b-256 ee0a2f108de2c5f44e8d2760275a2ba33b055e66b7f5739746735e5ef4b81e68

See more details on using hashes here.

File details

Details for the file deepvisiontools-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: deepvisiontools-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 106.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for deepvisiontools-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3ab6afdd019e1ce90abdf8bf1a4ed47ac9d20b0ec33e1d475e39c2cf6cdd3743
MD5 ac26b4066b24f4943f375e7d239080a0
BLAKE2b-256 795981c07fdb22d74e2d154f39d38e471f9e7822478046a6595548f35a17b3aa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page