Design of Costume Matching System for Movie Film Based on Deep Learning Algorithm

Video films play an important role in the design of intelligent clothing matching system, but there is a problem of inaccurate recognition. The traditional ant colony algorithm cannot solve the problem of film matching clothing design in the design of intelligent clothing matching system, and the detection effect is not satisfactory. Therefore, this paper proposes the design of clothing matching system based on deep learning algorithm and analyzes the matching clothing design problem of film. Firstly, the machine learning theory of the neural network model is used to locate the influencing factors, and the indicators is divided according to the requirements of the film to reduce the interference factors in the film. Then, the machine learning theory of neural network model is used to form a deep learning algorithm film scheme, and the results of the movie film is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the deep learning algorithm is superior to the traditional ant colony algorithm in terms of clothing matching accuracy and time of influencing factors of film.