.bpr .cpp

.bpr文件通常是指Borland Pascal Rebol的源代码文件。这是一种早期的脚本语言，由Borland公司开发，主要用于快速原型设计和软件开发。`.cpp`则是C++ (C Plus Plus)语言的源代码文件扩展名。C++是一种广泛使用的、基于C语言的通用编程语言，支持面向对象编程，并具有高效性和灵活性。

C++文件中包含了程序员编写的C++程序代码，编译后可以生成可执行文件。C++程序经常用于系统编程、游戏开发、图形用户界面设计等领域。

相关问题

下载别人的数据集在YOLOV5进行训练发现出现报错，请给出具体正确的处理拌饭Plotting labels... C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\seaborn\axisgrid.py:118: UserWarning: The figure layout has changed to tight self._figure.tight_layout(*args, **kwargs) autoanchor: Analyzing anchors... anchors/target = 4.24, Best Possible Recall (BPR) = 0.9999 Image sizes 640 train, 640 test Using 0 dataloader workers Logging results to runs\train\exp20 Starting training for 42 epochs... Epoch gpu_mem box obj cls total labels img_size 0%| | 0/373 [00:00<?, ?it/s][ WARN:0@20.675] global loadsave.cpp:248 cv::findDecoder imread_('C:/Users/Administrator/Desktop/Yolodone/VOCdevkit/labels/train'): can't open/read file: check file path/integrity 0%| | 0/373 [00:00<?, ?it/s] Traceback (most recent call last): File "C:\Users\Administrator\Desktop\Yolodone\train.py", line 543, in <module> train(hyp, opt, device, tb_writer) File "C:\Users\Administrator\Desktop\Yolodone\train.py", line 278, in train for i, (imgs, targets, paths, _) in pbar: # batch ------------------------------------------------------------- File "C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\tqdm\std.py", line 1178, in __iter__ for obj in iterable: File "C:\Users\Administrator\Desktop\Yolodone\utils\datasets.py", line 104, in __iter__ yield next(self.iterator) File "C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 633, in __next__ data = self._next_data() File "C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 677, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "C:\ProgramData\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "C:\Users\Administrator\Desktop\Yolodone\utils\datasets.py", line 525, in __getitem__ img, labels = load_mosaic(self, index) File "C:\Users\Administrator\Desktop\Yolodone\utils\datasets.py", line 679, in load_mosaic img, _, (h, w) = load_image(self, index) File "C:\Users\Administrator\Desktop\Yolodone\utils\datasets.py", line 634, in load_image assert img is not None, 'Image Not Found ' + path AssertionError: Image Not Found C:/Users/Administrator/Desktop/Yolodone/VOCdevkit/labels/train Process finished with exit code 1

根据错误日志，出现了以下几个错误：

1. `cv::find imread_('C:/Users/Administrator/Desktop/Yolodone/VOCdevkit/labels/train'): can't open/read file: check file path/integrity`：这个错误提示无法打开或读取文件，请检查文件路径和文件完整性。

2. `AssertionError: Image Not Found C:/Users/Administrator/Desktop/Yolodone/VOCdevkit/labels/train`：这个错误提示图片未找到，请检查图片路径是否正确。

针对这些错误，你可以采取以下解决方法：

1. 检查文件路径和文件完整性：确保数据集中的标签和图像文件都存在于相应的目录中，并且文件名与代码中的路径一致。

2. 检查图片路径是否正确：查看代码中加载图像的部分，确保图像路径正确，包括文件名和文件后缀。

请注意，这些错误可能还有其他原因，需要根据具体情况进行排查。