<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[New___dream的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/New___dream</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; New___dream]]></copyright><item><title><![CDATA[split_conversion将json转成yolo训练用的txt,在直接按照8：1：1的比例分成训练集，测试集，验证集]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/148337185</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/148337185</guid><author>New___dream</author><pubDate>Fri, 30 May 2025 14:20:28 +0800</pubDate><description><![CDATA[本文介绍了一个将LabelMe格式JSON标注转换为YOLO格式TXT文件并划分数据集的Python脚本。主要功能包括：1)将LabelMe标注转换为YOLO格式(中心坐标+宽高)；2)支持批量处理JSON文件夹；3)自动创建训练/验证/测试集(默认比例8:1:1)；4)同时复制对应图片文件。使用argparse模块接收参数，包括JSON文件夹路径、TXT保存路径、类别映射字典等。脚本会自动处理坐标归一化、过滤无效标注，并生成符合YOLO要求的目录结构。]]></description><category></category></item><item><title><![CDATA[json转成yolo用的txt(json中没有宽高，需要自设宽高的)]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/148318229</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/148318229</guid><author>New___dream</author><pubDate>Thu, 29 May 2025 21:40:11 +0800</pubDate><description><![CDATA[【代码】json转成yolo用的txt(json中没有宽高，需要自设宽高的)]]></description><category></category></item><item><title><![CDATA[报错RuntimeError: mat1 and mat2 shapes cannot be multiplied (64x784 and 1x1)]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/148169253</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/148169253</guid><author>New___dream</author><pubDate>Sat, 24 May 2025 12:00:00 +0800</pubDate><description><![CDATA[在使用PyTorch构建神经网络时，输入数据的维度与模型期望的维度不匹配是常见问题。例如，当输入数据的形状为[batch_size, height, width]，而模型期望的输入维度为[batch_size, 784]时，需要通过X = X.flatten(start_dim=1)将数据展平，使其与torch.nn.Linear(784, 10)的输入特征数一致。start_dim=1表示从第1维开始展平，保留batch_size维度。这一操作确保数据能够正确传递到全连接层，避免维度错误。
]]></description><category></category></item><item><title><![CDATA[用torch写一个简单网络训练FashionMNIST数据集参考torch官网]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/148168922</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/148168922</guid><author>New___dream</author><pubDate>Fri, 23 May 2025 15:05:04 +0800</pubDate><description><![CDATA[本文介绍了如何使用PyTorch框架进行FashionMNIST数据集的分类任务。首先，通过torchvision.datasets加载并预处理数据，使用DataLoader进行批量处理。接着，定义了一个简单的线性模型和一个更复杂的神经网络模型NeuralNetwork，并选择了交叉熵损失函数和SGD优化器。训练过程中，模型在训练集上进行训练，并在测试集上评估性能。训练完成后，模型的状态被保存到model.pth文件中。最后，通过加载模型并对测试集中的样本进行预测，展示了模型的实际应用效果。]]></description><category></category></item><item><title><![CDATA[yolov5将目标框颜色统一，train.py,detect.py都变为红色方框]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/147745088</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/147745088</guid><author>New___dream</author><pubDate>Tue, 06 May 2025 18:32:45 +0800</pubDate><description><![CDATA[查看教程发现大部分都是训练变成红色方框，但是并不能改变推理框的颜色，训练框颜色受plot.py影响，但是推理框的颜色是由另一个文件plotting.py影响的。将颜色编码改为想要的颜色就可以了，颜色编码在两个文件开头的hexs。]]></description><category></category></item><item><title><![CDATA[4.18日paddleocr报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/137944520</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/137944520</guid><author>New___dream</author><pubDate>Fri, 19 Apr 2024 02:30:18 +0800</pubDate><description><![CDATA[但是文字识别train下的loader和val下的loader不同就会报错。在文字检测时train下的loader和val下的loader可以不同。发现是ch_PP-OCRv3_rec.yml的loader的问题。]]></description><category></category></item><item><title><![CDATA[4.15报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/137788370</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/137788370</guid><author>New___dream</author><pubDate>Fri, 19 Apr 2024 02:21:59 +0800</pubDate><description><![CDATA[打开文件时出错a bytes-like object is required,not'NoneType'images-1208-json|ST-WT-1.json是一个有效的标签文件。解决方案：图片文件夹中创建同名一个文件夹把json文件放进去就可以打开了。今天用X-anylabling更改标签目录时出现这个报错。确保E:/data/stdata/st-]]></description><category></category></item><item><title><![CDATA[4.10报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/137598670</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/137598670</guid><author>New___dream</author><pubDate>Wed, 10 Apr 2024 15:26:52 +0800</pubDate><description><![CDATA[RuntimeError:
    An attempt has been made to start a new process before the
    current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start写一个if __name__ == '__main__':放到文件第一行记得缩进就可以运行了。]]></description><category></category></item><item><title><![CDATA[yolov8做分割时如何去除目标框]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/137598279</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/137598279</guid><author>New___dream</author><pubDate>Wed, 10 Apr 2024 15:15:14 +0800</pubDate><description><![CDATA[yolov8做分割时如何去除目标框第一步找到yolov8\ultralytics\utils\plotting.py。第二步找到100行左右的box_label函数。在运行时就只有分割后的掩码图不会有目标框了。]]></description><category></category></item><item><title><![CDATA[3.27工作日志]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/137073010</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/137073010</guid><author>New___dream</author><pubDate>Wed, 27 Mar 2024 11:55:23 +0800</pubDate><description><![CDATA[U-2-net环境搭建
下载代码后，创建了python3.9环境。

软件包安装先是torch，然后是numpy,之后是scikit-image这个去网页上查一下，其他依次安装，gradio版本要调整，最后选取2.0.0.]]></description><category></category></item><item><title><![CDATA[生成自己的rola模型简单版四步完成]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/136185276</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/136185276</guid><author>New___dream</author><pubDate>Tue, 20 Feb 2024 12:29:56 +0800</pubDate><description><![CDATA[工具准备：秋叶整合包，lora 训练器。生成自己的lora模型]]></description><category></category></item><item><title><![CDATA[2024.1.30报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135926474</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135926474</guid><author>New___dream</author><pubDate>Sat, 03 Feb 2024 21:51:03 +0800</pubDate><description><![CDATA[今天想调通一套github上的U-net代码，把报错记录一下。]]></description><category></category></item><item><title><![CDATA[python查询xml类别]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135962375</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135962375</guid><author>New___dream</author><pubDate>Wed, 31 Jan 2024 21:23:03 +0800</pubDate><description><![CDATA[【代码】python查询xml类别。]]></description><category></category></item><item><title><![CDATA[yolo将标签数据打到原图上形成目标框]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135921090</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135921090</guid><author>New___dream</author><pubDate>Mon, 29 Jan 2024 21:15:01 +0800</pubDate><description><![CDATA[目标：为了查看自己在标注标签时是否准确，写了这段代码来将标注的框打到原图上。]]></description><category></category></item><item><title><![CDATA[2024.1.26报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135887290</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135887290</guid><author>New___dream</author><pubDate>Sat, 27 Jan 2024 19:44:19 +0800</pubDate><description><![CDATA[把网页版那个cuda11.8的Pytorch版本降低成11.0或者11.3的Pytorch就能解决这个报错。]]></description><category></category></item><item><title><![CDATA[2024.1.19报错记录]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135694489</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135694489</guid><author>New___dream</author><pubDate>Fri, 19 Jan 2024 12:06:09 +0800</pubDate><description><![CDATA[在yolov8中生成onnx时报错，我把py文件名叫onnx.py，改一下名字就解决这个报错了，因为onnx和自带的模块冲突。AttributeError: partially initialized module 'onnx' has no attribute '__version__' (most likely due to a circular import)]]></description><category></category></item><item><title><![CDATA[将图片与标签分为训练集测试集和验证集]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135618323</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135618323</guid><author>New___dream</author><pubDate>Tue, 16 Jan 2024 10:31:46 +0800</pubDate><description><![CDATA[【代码】将图片与标签分为训练集测试集和验证集。]]></description><category></category></item><item><title><![CDATA[linux安装QQ（官方正版）]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135593296</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135593296</guid><author>New___dream</author><pubDate>Mon, 15 Jan 2024 09:34:10 +0800</pubDate><description><![CDATA[QQ官网上有支持linux系统的版本，所以去官网直接下载正版就好。]]></description><category></category></item><item><title><![CDATA[python的xml转txt(linux)]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135559709</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135559709</guid><author>New___dream</author><pubDate>Fri, 12 Jan 2024 18:32:21 +0800</pubDate><description><![CDATA[out_file.write(str(label) + ' ' + ' '.join([str(round(a, 6)) for a in box]) + '\n')  # 把内容写入TXT中。output_txt_dir = r'D:\llq\yolov5-master\yolov5-master\NEU-DET\txt'####输出yolo所对应格式的文件夹。out_file = open(imglabel, 'w', encoding='UTF-8')  # 以写入的方式打开TXT。]]></description><category></category></item><item><title><![CDATA[python检查PyTorch版本及cuda是否安装成功]]></title><link>https://blog.youkuaiyun.com/New___dream/article/details/135299093</link><guid>https://blog.youkuaiyun.com/New___dream/article/details/135299093</guid><author>New___dream</author><pubDate>Fri, 29 Dec 2023 21:46:22 +0800</pubDate><description><![CDATA[输出True 就代表安装成功，反之安装失败。pytorch,GPU,]]></description><category></category></item></channel></rss>