划分jaffe图片数据集的代码,划分为训练集、验证集和测试集
时间: 2023-10-08 18:12:35 浏览: 96
好的,我可以为您提供一个示例代码,用于从Jaffe图片数据集中划分训练、验证和测试集。请注意,以下示例代码是用Python编写的:
'''
import os
import shutil
import random
# Set the directory containing the Jaffe dataset
jaffe_dir = '/path/to/jaffe/dataset'
# Set the directory that will contain the train, validation and test splits
train_dir = '/path/to/training/set'
val_dir = '/path/to/validation/set'
test_dir = '/path/to/test/set'
# Create the directories for the train, validation and test splits if they don't already exist
os.makedirs(train_dir, exist_ok=True)
os.makedirs(val_dir, exist_ok=True)
os.makedirs(test_dir, exist_ok=True)
# Define the ratio of data that will be allocated to each split
train_ratio = 0.7
val_ratio = 0.15
test_ratio = 0.15
# Get a list of all the image files in the Jaffe dataset directory
all_images = os.listdir(jaffe_dir)
image_files = [f for f in all_images if f.endswith('.tiff')]
# Shuffle the list of image files
random.shuffle(image_files)
# Calculate the number of images to allocate to each split
num_train = int(len(image_files) * train_ratio)
num_val = int(len(image_files) * val_ratio)
num_test = len(image_files) - num_train - num_val
# Allocate the images to the train, validation and test splits
train_images = image_files[:num_train]
val_images = image_files[num_train:num_train+num_val]
test_images = image_files[num_train+num_val:]
# Copy the train images from the Jaffe dataset directory to the train directory
for f in train_images:
src_path = os.path.join(jaffe_dir, f)
dst_path = os.path.join(train_dir, f)
shutil.copyfile(src_path, dst_path)
# Copy the validation images from the Jaffe dataset directory to the validation directory
for f in val_images:
src_path = os.path.join(jaffe_dir, f)
dst_path = os.path.join(val_dir, f)
shutil.copyfile(src_path, dst_path)
# Copy the test images from the Jaffe dataset directory to the test directory
for f in test_images:
src_path = os.path.join(jaffe_dir, f)
dst_path = os.path.join(test_dir, f)
shutil.copyfile(src_path, dst_path)
'''
请注意,这是一个示例代码。您需要将“ jaffe_dir”更改为包含Jaffe数据集的目录的实际路径,并根据需要更改训练,验证和测试集的路径。另外,请确保您在编写代码时遵循Jaffe数据集的使用规则。
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