Cat vs Dog Image Classifier Compares the accuracy of KNN, HOG/SVM and CNN for classifying an image as cat or dog. Conclusion A CNN is the best approach to this dataset with a 91% accuracy. Neither the KNN or HOG/SVM performed well enough to be considered useable for this dataset as th...
In this presentation, we delve into a Convolutional Neural Network (CNN) project designed for the classification of images into two categories: dogs and cats. CNNs are a type of deep neural network particularly adept at image recognition tasks. Our goal is...
classisNone:dog_count+=1else:continueelse:continue# 忽略其他文件img_path=os.path.join(data_dir,filename)img=cv2.imread(img_path)img=cv2.resize(img,(224,224))# 调整图像尺寸为128x128(可根据需要修改)images.append(img)labels.append(label)returnnp.array(images),np.array(labels)if__name__==...
Classification of cat and dog images using deep learning methods using PyTorch template Thanks to https://github.com/victoresque/pytorch-template Folder Structure CatVsDog/ │├── train.py – 训练的主要脚本├── test.py – 测试训练的模型│├── config.json – 训练的配置文件├── parse_co...
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 requirement python3 numpy >= 1.14.2 keras >= 2.1.6 tensorflow >= 1.6.0 h5py >= 2.7.0 python-gflags >= 3.1.2 opencv-python >= 3.4.0.12 2 Description of files ...
Dog_Cat_Classification 使用CNN对猫狗图像进行分类 分割数据集 加载标签 模型 测试参数 数据扩充和比较 将训练好的模型保存到文件中 点赞(0)踩踩(0)反馈 所需:1积分电信网络下载 Enhancing Jetpack Compose app performance 2024-12-18 16:46:51 积分:1 ...
Explore and run machine learning code with Kaggle Notebooks | Using data from Cat And Dog Classifier
运行完成后,[工程主目录]/data路径下会生成newtrain和newtest这2个路径,分别存放训练集和测试集。 训练 python train.py 训练完成后,在工程主目录下会生成名为resnet18_Cat_Dog.pth的权重文件,推理时会读取该权重文件。 推理 python test.py 推理完成后会打印出推理的正确率。
Catdog_classification_pytorch是一个使用PyTorch库进行猫和狗分类的机器学习项目。这个项目的目标是通过训练一个深度学习模型,将输入的图片或视频自动识别为猫或狗。 在项目中,首先需要准备数据集,包括猫和狗的图片或视频。然后,使用预训练的深度学习模型(如VGG、ResNet等)作为特征提取器,将图片或视频转换为特征向量...
classification. Contribute to Akshayvasav/cat_dog_modified development by creating an account on GitHub.