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Transportation Detection and Tracking CLI

This Python package, track_transportation, provides functionalities for detecting and tracking objects related to transportation in videos.

Installation To install track_transportation, you can use pip:

bash pip install track_transportation

Usage: Once installed, you can use the provided command-line interface (CLI) to detect and track transportation objects in a video.

Detection Function: The detect_objects function in the detection.py module allows you to detect transportation objects in an image. Here’s how you can use it in your Python script:

python

from transportation.detection import detect_objects import cv2

<!– Load image –>

image = cv2.imread(‘image.jpg’)

<!– Perform object detection –>

detections = detect_objects(image)

<!– Process detections as needed –>

print(“Detected objects:”) print(detections)

Requirements This package requires the following dependencies:

  1. numpy

  2. opencv-python

  3. torch

  4. matplotlib

  5. ultralytics

  6. cvzone

  7. sort

  8. tqdm

These dependencies will be automatically installed when you install track_transportation.

Notes 1. Ensure that you have a compatible version of Python installed on your system. 2. It’s recommended to use a virtual environment to manage your Python dependencies. 3. Make sure that the input video file exists and is accessible to the CLI.

Metadata

Release files for track-transportation 0.0.8

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