搜索资源列表
detect-cat
- 计算机识别：画出猫所在方框，也可识别狗或人-compute vision: detect cat
tensorflow实现猫狗识别
- 使用tensorflow 开源框架实现猫狗种类分类识别外框代码(Using tensorflow open source framework to realize cat dog classification and identification frame code)
imageRecognises
- Python编程Keras训练神经网络,识别猫狗图片(Python programming and Keras training neural network,recognition the cat or dog in the picture.)
pyDogVsCat
- 识别率85%，kaggle上有名的猫狗大战算法，可以很方便的查看分类结果。每一个epch需要22s左右（GTX1050Ti 4G）(The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G))
cat_vs_dog
- 利用神经网络模型Resnet模型对猫和狗进行识别(Recognition of cats and dogs by using neural network Resnet model.)
python猫狗分类程序
- 利用此程序可以对对象进行分类识别，很实用。(This program can be used to classify and recognize objects, which is very practical.)