import argparse # 인자값을 받을 수 있는 인스턴스 생성 parser = argparse.ArgumentParser(description='사용법 테스트입니다.') # 입력받을 인자값 등록 parser.add_argument('--target', required=True, help='어느 것을 요구하냐') parser.add_argument('--env', required=False, default='dev', help='실행환경은 뭐냐') # 입력받은 인자값을 args에 저장 (type: namespace) args = parser.parse_args() # 입력받은 인자값 출력 print(args.target) print(args.env)
Paper : https://arxiv.org/abs/2011.07491 Github : https://github.com/lilygeorgescu/AED-SSMTL Anomaly Detection in Video via Self-Supervised and Multi-Task Learning Anomaly detection in video is a challenging computer vision problem. Due to the lack of anomalous events at training time, anomaly detection requires the design of learning methods without full supervision. In this paper, we approach ..
Paper : https://arxiv.org/abs/1903.00618 github : https://github.com/MoonBlvd/tad-IROS2019 Unsupervised Traffic Accident Detection in First-Person Videos Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems. However, most work on video anomaly detection suffers from two..
