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基于keras深度学习框架实现(后续持续更新)

classification

  • Densenet
  • Inception-v1
  • Inception-v2
  • Inception-v2
  • Inception-v3
  • Inception-v4
  • Inception-resnet-v2
  • ResNet50
  • ResNext50
  • VGG16
  • Xception

object-detection

  • RCNN

object-tracking

  • SimaFC

模型验证(classificaiton)

模型验证.ipynb
需要将模型代码整合到一个py文件中,将模型代码文件导入到脚本中,如:

import sys
sys.path.append('./models/resnext50.py')

导入后,直接调用模型构建函数,构建相应的模型,如:

from models.resnext50 import ResNext50
model = ResNext50(input_shape=(224,224,3), classes = len(data_label))

最后,直接run all cells进行模型训练

验证数据

pascal dataset

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