[OpenR8 solution] Image-Classification-MobileNetV1-Caffe (Using MobileNetV1 algorithm and Caffe framework for object classification)
This Image-Classification-MobileNetV1-Caffe is using the Caffe framework, MobileNetV1 network architecture is used to train the model and to classify the images through trained models.
First, we need to prepare the images we want to learn from the model, and divide the images into different folders according to categories. Then, through the py file in Image-Classification-MobileNetV1-Caffe, the three txt list files are automatically generated. In this way, let the model know which files are to be tested for training, and which categories are divided into these files. After completing these pre-processing, execute the training py file. After the training is completed, test the model that has been trained.
OpenR8 solution-English-Image-Classification-MobileNetV1-Caffe Using MobileNetV1 algorithm and Caffe framework for object classification -20190904.pdf