GenomeScope analyzing mer17_out.histo k=17 readlen=150 outdir=./genomescope Error in file(file, "rt") : cannot open the connection Calls: read.csv -> read.table -> file Execution halted

看起来你正在运行GenomeScope的k-mer分析，但是出现了一个文件读取错误。错误信息显示无法打开连接，这可能是由于文件路径不正确或文件不存在引起的。请检查mer17_out.histo文件的路径和名称是否正确，并确保该文件存在于指定的目录中。如果问题仍然存在，请检查您的代码中是否有任何语法错误或其他问题。

相关问题

============================================ [100% 1/1] analyzing Android.bp files and generating ninja file at out/soong/build.ninja FAILED: out/soong/build.ninja cd "$(dirname "out/host/linux-x86/bin/soong_build")" && BUILDER="$PWD/$(basename "out/host/linux-x86/bin/soong_build")" && cd / && "$BUILDER" --top "$TOP" --soong_out "out/soong" --out "out" -o out/soong/build.ninja --globListDir build --globFile out/soong/globs-build.ninja -t -l out/.module_paths/Android.bp.list --available_env out/soong/soong.environment.available --used_env out/soong/soong.environment.used.build Android.bp Clang SA is not enabled error: vendor/qcom/proprietary/commonsys/securemsm/GPSample/app/src/main/cpp/Android.bp:92:1: "libgpSample2TA.qti" depends on undefined module "libGPTEE_system.qti" error: vendor/qcom/proprietary/commonsys/securemsm/GPSample/app/src/main/cpp/Android.bp:92:1: "libgpSample2TA.qti" depends on undefined module "libGPMTEEC_system.qti" error: vendor/qcom/proprietary/commonsys/securemsm/GPSample/app/src/main/cpp/Android.bp:68:1: "libGPComm.qti" depends on undefined module "libGPTEE_system.qti" error: vendor/qcom/proprietary/commonsys/securemsm/GPSample/app/src/main/cpp/Android.bp:68:1: "libGPComm.qti" depends on undefined module "libGPMTEEC_system.qti" ninja: build stopped: subcommand failed. 18:01:10 soong bootstrap failed with: exit status 1

这是一个错误提示，似乎在编译 Android 应用时出现了问题。你需要检查一下 Android.bp 文件中的依赖项，特别是 libgpSample2TA.qti 和 libGPComm.qti 依赖的 libGPTEE_system.qti 和 libGPMTEEC_system.qti 是否已经正确定义。另外，你也需要确保 Clang SA 已经被启用。如果以上方法无法解决问题，你可以尝试重新编译或者查看更详细的错误日志来定位问题。

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。