ValueError With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empt
ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.
问题描述：
在使用Unet++训练自己的数据集时出现ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.
原因分析：
原数据集训练图片使用的是png格式，自己的数据集图片为jpg格式。
解决方案：
将训练图片从jpg格式转成png格式。
import os
import cv2def transform(input_path, output_path):for root, dirs, files in os.walk(input_path):for name in files:file = os.path.join(root, name)print('transform' + name)im = cv2.imread(file)if output_path:cv2.imwrite(os.path.join(output_path, name.replace('jpg', 'png')), im)else:cv2.imwrite(file.replace('jpg', 'png'), im)if __name__ == '__main__':input_path = input("请输入目标文件夹: ")output_path = input("请输入输出文件夹： (回车则输出到原地址)")if not os.path.exists(input_path):print("文件夹不存在!")else:print("Start to transform!")transform(input_path, output_path)print("Transform end!")ValueError With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empt相关推荐
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