基于python+YOLO+FCSRN开发的自动识别自然场景水电表数字+源码+文档（毕业设计&课程设计&项目开发）

## [TensorFlow2.x-YOLOv3](https://github.com/YunYang1994/cv-notebooks/blob/master/ai_algorithm/YOLOv3.md) -------------------- A minimal tensorflow implementation of YOLOv3, with support for training, inference and evaluation. ## Installation -------------------- Install requirements and download pretrained weights ``` $ pip3 install -r ./docs/requirements.txt $ wget https://pjreddie.com/media/files/yolov3.weights ``` ## Quick start -------------------- In this part, we will use pretrained weights to make predictions on both image and video. ``` $ python image_demo.py ``` <p align="center"> <img width="100%" src="https://user-images.githubusercontent.com/30433053/68088581-9255e700-fe9b-11e9-8672-2672ab398abe.jpg" style="max-width:100%;"> </a> </p> ## Train yymnist -------------------- <p align="center"> <img width="70%" src="https://user-images.githubusercontent.com/30433053/68088705-90d8ee80-fe9c-11e9-8e61-589fdc45fe60.png" style="max-width:70%;"> </a> </p> Download [yymnist](https://github.com/YunYang1994/yymnist) dataset and make data. ``` $ git clone https://github.com/YunYang1994/yymnist.git $ python yymnist/make_data.py --images_num 1000 --images_path ./data/dataset/train --labels_txt ./data/dataset/yymnist_train.txt $ python yymnist/make_data.py --images_num 200 --images_path ./data/dataset/test --labels_txt ./data/dataset/yymnist_test.txt ``` Open `./core/config.py` and do some configurations ``` __C.YOLO.CLASSES = "./data/classes/yymnist.names" ``` Finally, you can train it and then evaluate your model ``` $ python train.py $ tensorboard --logdir ./data/log $ python test.py $ cd ../mAP $ python main.py # Detection images are expected to save in `YOLOV3/data/detection` ``` Track training progress in Tensorboard and go to http://localhost:6006/ ``` $ tensorboard --logdir ./data/log ``` <p align="center"> <img width="100%" src="https://user-images.githubusercontent.com/30433053/68088727-db5a6b00-fe9c-11e9-91d6-555b1089b450.png" style="max-width:100%;"> </a> </p> ## Citation -------------------- ``` @Github_Project{TensorFlow2.0-Examples, author = YunYang1994, email = www.dreameryangyun@sjtu.edu.cn, title = "YOLOv3: An Incremental Improvement", url = https://github.com/YunYang1994/TensorFlow2.0-Examples, year = 2019, } ```