wmylxmj / Yolo V3 Iou
Licence: mit
YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19
Stars: ✭ 116
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YOLO-V3-IOU
YOLO3 动漫人脸检测 2019-1-19
环境
- tensorflow-gpu 1.12.0
- Keras 2.2.4
数据集的准备
- 数据集标签制作工具下载：https://github.com/tzutalin/labelImg
- 运行prepare.py将数据集划为训练集，验证集和测试集
训练模型
- 加载权重，将权重h5文件放入models文件夹
- 最新权重下载地址：https://pan.baidu.com/s/1QKODAhRU_Rw5lpf8NcIR4g
- 若重新开始训练，将load_pretrained置为False
- 设置学习率，若重新训练，建议设0.001，若加载权重，建议设较小的学习率
- 运行train.py
预测
- 加载权重，将训练好的权重h5文件放入models文件夹
- 运行run.py，对数据集进行预测输出，输出在outputs文件夹中
- 预测新的图片
- from predict import YOLO
- from PIL import Image
- yolo = YOLO()
- img = Image.open(r'./test.jpg')
- output = yolo.detect_image(img)
- output.show()
Demo
模型
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