From a8220d9a6c900dc0273f8ea645f37f2a34727583 Mon Sep 17 00:00:00 2001 From: Kristofers Solo Date: Sat, 17 Dec 2022 16:12:18 +0200 Subject: [PATCH] Updated main --- main.py | 49 ++++++++++++++----------------------------------- 1 file changed, 14 insertions(+), 35 deletions(-) diff --git a/main.py b/main.py index 4de7bf4..5c2b6bd 100755 --- a/main.py +++ b/main.py @@ -1,59 +1,38 @@ #!/usr/bin/env python3 import argparse -import importlib - -from detector.paths import BASE_PATH, create_dirs, LOGS_PATH from loguru import logger -log_level = "DEBUG" if BASE_PATH.joinpath("debug").exists() else "INFO" - - -# Set up logging -logger.add(LOGS_PATH.joinpath("detection.log"), format="{time} | {level} | {message}", level=log_level, rotation="1 MB", compression="zip") +from paths import create_dirs, IMAGES_IN_PATH parser = argparse.ArgumentParser(description="Traffic light detection script.") parser.add_argument( - "-e", - "--extract", + "-w", + "--webcam", action="store_true", - help="extracts and crops traffic light images from given images in ./assets/extraction/input/ to ./assets/extraction/cropped/", -) -parser.add_argument( - "-t", - "--train", - action="store_true", - help="trains model.", + help="reads webcam inputs to determine traffic light color", ) parser.add_argument( "-i", "--image", action="store_true", - help="detects traffic lights in images located in ./assets/detection/images_in/", + help="detects traffic lights in images located in ./assets/images_in/", ) -# parser.add_argument( -# "-v", -# "--video", -# action="store_true", -# help="detects traffic lights in videos located in ./assets/detection/videos_in/", -# ) @logger.catch def main(args) -> None: create_dirs() - if args.extract: - module = importlib.import_module("detector.extract_traffic_lights") - module.extract_traffic_lights() - if args.train: - module = importlib.import_module("detector.train_traffic_light_color") - module.train_traffic_light_color() + if args.webcam: + from TrafficLightDetector.traffic_light_webcam import TrafficLightDetectorWebcam + camera = TrafficLightDetectorWebcam() + camera.enable() + if args.image: - module = importlib.import_module("detector.detect_traffic_light_color_image") - module.detect_traffic_light_color_image() - # if args.video: - # module = importlib.import_module("detector.detect_traffic_light_color_video") - # module.detect_traffic_light_color_video() + from TrafficLightDetector.traffic_light_images import TrafficLightDetectorImages + for path in IMAGES_IN_PATH.iterdir(): + image = TrafficLightDetectorImages(path) + image.draw() if __name__ == "__main__":