A simple demo of implementing cat and dog classification 这个项目是一个简单的使用resnet18实现猫狗分类的例子,主要学习:1)是神经网络实现分类的原理 2)了解模型优化流程:数据处理、损失计算、反向传播等 3)熟悉如何使用torch加载图片数据、搭建模型、训练模型。 环境准备 pip install -r requirement.txt 数据集准...
cnn-classification-dog-vs-cat基于CNN的图像分类器,使用Kaggle的猫狗图片数据。1 requirementpython3numpy >= 1.14.2keras >= 2.1.6tensorflow >= 1.6.0h5py >= 2.7.0python-gflags >= 3.1.2opencv-python >= 3.4.0.122 Description of filesinputs: 猫狗图片样本数据,,
Dogs(猫狗大战)实现和详解 kaggle-dogs-vs-cats-solution Cat_or_dog-kaggle-vgg19-tensorflow keras-cats-dogs-tutorial 利用resnet 做kaggle猫狗大战图像识别,秒上98准确率 keras-cats-dogs-tutorial Building powerful image classification models using very little data 基于Android和微信小程序端的猫狗图像分类...
🐱🐶 Cat or Dog Recognizer 🖼️ Overview This project is an image classification system built using Convolutional Neural Networks (CNN) and Streamlit. It allows users to upload images or select from sample images to identify whether the image contains a cat or a dog. The application featu...
put the train data set from this link - https://www.kaggle.com/c/dogs-vs-cats/data - into the directory data/ Hyperparameters for the SVM can be set under Constants in HOG-CatDog.py and the following 2 lines for the bin size: fd = fd.round(1) ... for i in np.arange(0, 1....
Cat-Dog Image Classification Task using Cortex Library Implementation of a Convolutional Neural Network for classifying cat & dog images using Clojure's Cortex library. Project details A comprehensive description of the project is available in my website. Follow this link: http://student.hampshire.ed...
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在接下来的内容中我们将以Netron官方提供的[squeezenet](https://netron.app/?url=https://media.githubusercontent.com/media/onnx/models/main/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)为例进行介绍。下面第一幅图截取自squeezenet网络,我们可以看到网络的整体流程和输入。 第二幅图显示了第...
The Dog A public service all about Dogs, free to use when making your fancy new App, Website or Service apiKey Yes No xeno-canto Bird recordings No Yes Unknown Zoo Animals Facts and pictures of zoo animals No Yes Yes⬆ Back to Index Anime...
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