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BakuyaLiu / YOLO-V3-IOU

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README
MIT

YOLO-V3-IOU

YOLO3 动漫人脸检测 2019-1-19

数据集的准备

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
  1. from predict import YOLO
  2. from PIL import Image
  3. yolo = YOLO()
  4. img = Image.open(r'./test.jpg')
  5. output = yolo.detect_image(img)
  6. output.show()

Demo

模型

MIT License Copyright (c) [year] [fullname] Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19 展开 收起
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