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.
Release files for VehicleRecognition 0.5.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| VehicleRecognition-0.5.1.1.tar.gz | 3.2 kB | Details |
Release files / VehicleRecognition-0.5.1.1.tar.gz
| Download URL | VehicleRecognition-0.5.1.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
02fa83197f6c9de506232b8db0bd34587ef3e469ef9ce26933333af06bc10bfa
|
|
BLAKE2b-256 checksum How to use checksums |
3c5c227452b399a6819fee4df378967a8551b038174eaebb45f721ab4a565fb7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.4
|