Skip to main content

Viscan vehicle recognition packages

Project description

To use the package:

i). Clone the vehicle recognition repository

git@192.168.1.32:Data_Analytics/Vehicle_Recognition.git

ii). Navigate into the folder housing the newly created clone repository

cd Vehicle_Recognition/

iii). Build wheel

python3 setup.py bdist_wheel

iv). Pip install wheel (wheel located in Vehicle_Recognition/dist/ directory that's created during the build process)

pip3 install wheel_file_path.whl

NOTE: models have been removed from the library and hence the resultant wheel generated incorporates no models. The models are contained in the models/ directory. Copy them to a suitable location and pass the paths to these models as arguments when using the library.

For full documentation

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

VehicleRecognition-0.5.1.1.tar.gz (3.2 kB view details)

Uploaded Source

File details

Details for the file VehicleRecognition-0.5.1.1.tar.gz.

File metadata

  • Download URL: VehicleRecognition-0.5.1.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for VehicleRecognition-0.5.1.1.tar.gz
Algorithm Hash digest
SHA256 02fa83197f6c9de506232b8db0bd34587ef3e469ef9ce26933333af06bc10bfa
MD5 80e19b193620561b0ef38b3be865e16d
BLAKE2b-256 3c5c227452b399a6819fee4df378967a8551b038174eaebb45f721ab4a565fb7

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