To make sure you have all the requirements run: pip install -r requirements.txt
numpy>=1.22.3
opencv_python>=4.5.5.64
pandas>=1.4.2
tqdm>=4.64.0
You can run python traffic_signifier.py -h
for help on how to run the program.
usage: traffic_signifier.py [-h] [--out OUT] [--annotations ANNOTATIONS] [--verbose] [--stack] path
Detect traffic signs in the image specified. If input is a directory, detect traffic signs on all images in the
folder.
positional arguments:
path Path of the image or directory to process.
options:
-h, --help show this help message and exit
--out OUT, -o OUT Path of output directory. Defaults to `out`
--annotations ANNOTATIONS, -a ANNOTATIONS
Path to annotations directory for scoring accuracy of detection.
--verbose, -v Controls the verbosity, if enable the program will output more messages and save more images
related to the processing.
--stack Needs verbosity active. Stacks all images generated into the same image.