Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP
for fname in fnames: src = os.path.join(original_dataset_dir, fname) dst = os.path.join(test_dogs_dir, fname) shutil.copyfile(src, dst) print('total training cat images:', len(os.listdir(train_cats_dir))) print('total training dog images:', len(os.listdir(train_dogs_dir))) ...
'/home/jack/Desktop/Jack/dataset/dog_cat_data' train_path: '/home/jack/Desktop/Jack/dataset/dog_cat_data/train' test_path: '/home/jack/Desktop/Jack/dataset/dog_cat_data/test' csv_path: './submission.csv' tensorboard_path: './tensorboard_info' model_save_path: './dogs-vs-cats.pth'...
改进了模型,同时也要对应调整一下函数 is_dog_or_cat2() 和函数 find_unknown2()。 代码语言:javascript 复制 def is_dog_or_cat2(img_path): predictions = model2.predict(img_path)[:10] for prediction in predictions: if (prediction >= 151) and (prediction <= 268): return True if (predict...
下载cats vs dogs数据集.包含三部分. 解压后,通过下面指令将cat和dog图片分到相应的文件夹里. cd data/train mv dog.* dog/ mv cat.* cat/ 1. 2. 3. -将训练集分成训练集+验证集(9:1) # data/data表示生成的".lst"文件的保存路径和文件名前缀,比如data_train.lst和data_val.lst ...
Kaggle网站上找到Dog vs Cat 数据集, Dogs vs. Cats, 安装好kaggle-api 后kaggle competitions download -c dogs-vs-cats即可下载数据集,后面实验我在训练集中用80%做训练数据,20%做验证集。 Image Reader defdefault_mapper(sample):img,label=sampleimg=image.simple_transform(img,256,224,True,mean=[103.94...
...5.2 下载指定数据集 格式:kaggle datasets download -d [DATASET] 。目标下载数据集由命令 kaggle datasets list 输出的 ref 字段指定。...kaggle datasets download -d hocop1/cat-and-dog-breeds-parameters 数据集下载完成后,以 .zip 压缩格式保存在当前目录下。
def read_train_all(): train = pd.read_csv("/kaggle/input/daigt-v2-train-dataset/train_v2_drcat_02.csv") train = train[['text', 'prompt_name', 'label']] train = standardize_categories(train) train_old = pd.read_csv("/kaggle/input/llm-detect-ai-generated-text/train_essays.csv"...
class MyDataset(Dataset): def __init__(self, main_dir, is_train=True): self.dataset = [] data_filename = "TRAIN" if is_train else "TEST" # 循环获得样本数据文件夹下的训练集或测试集文件夹下的文件夹名(类别名) for i, cls_filename in enumerate(os.listdir(os.path.join(main_dir, da...
...5.2 下载指定数据集 格式:kaggle datasets download -d [DATASET] 。目标下载数据集由命令 kaggle datasets list 输出的 ref 字段指定。...kaggle datasets download -d hocop1/cat-and-dog-breeds-parameters 数据集下载完成后,以 .zip 压缩格式保存在当前目录下。