Age and Gender Recognition Based on MXNET
This project is a deep learning-based face age and gender recognition system. It uses OpenCV and MTCNN (Multi-Task Cascaded Convolutional Network) for face detection, along with a pretrained model for age and gender prediction. Below, I will briefly introduce how to run and understand these scripts. ### 1. Environment Preparation Ensure you have installed the necessary Python libraries: ```bash pip install numpy opencv-python dlib mtcnn ```
Read MoreCRNN Text Recognition Model Implemented with PaddlePaddle 2.0 Dynamic Graph
This document introduces a CRNN text recognition model implemented using PaddlePaddle 2.0 dynamic graph. The model extracts features through CNN, performs sequence prediction via RNN, and uses CTC Loss for loss calculation, making it suitable for input images of irregular lengths. **Training and Data Preparation:** 1. **Environment Configuration**: PaddlePaddle 2.0.1 and Python 3.7 need to be installed. 2. **Dataset Generation**: - Use the `create_image.py` script to automatically generate validation
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