torchvision | R interface to torchvision | Machine Learning library

 by   mlverse R Version: v0.5.1 License: Non-SPDX

kandi X-RAY | torchvision Summary

kandi X-RAY | torchvision Summary

torchvision is a R library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. torchvision has no bugs, it has no vulnerabilities and it has low support. However torchvision has a Non-SPDX License. You can download it from GitHub.

torchvision .
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            kandi-support Support

              torchvision has a low active ecosystem.
              It has 59 star(s) with 10 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 29 have been closed. On average issues are closed in 34 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of torchvision is v0.5.1

            kandi-Quality Quality

              torchvision has 0 bugs and 0 code smells.

            kandi-Security Security

              torchvision has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              torchvision code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              torchvision has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              torchvision releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 69 lines of code, 1 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            torchvision Key Features

            No Key Features are available at this moment for torchvision.

            torchvision Examples and Code Snippets

            No Code Snippets are available at this moment for torchvision.

            Community Discussions

            QUESTION

            Getting image path through a torchvision dataloader using local images
            Asked 2022-Feb-26 at 10:07

            I want to use a dataloader in my script.

            normaly the default function call would be like this.

            ...

            ANSWER

            Answered 2022-Feb-26 at 10:07

            Since ImageFolderWithPaths inherits from datasets.ImageFolder as shown in the code from GitHub and datasets.ImageFolder has the following arguments including transform: (see here for more info)

            torchvision.datasets.ImageFolder(root: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, loader: Callable[[str], Any] = , is_valid_file: Optional[Callable[[str], bool]] = None)

            Solution: you can use your transformations directly when you instantiate ImageFolderWithPaths.

            Source https://stackoverflow.com/questions/71267824

            QUESTION

            Pytorch error: RuntimeError: 1D target tensor expected, multi-target not supported
            Asked 2022-Feb-16 at 15:35

            I am currently working on an neuronal network that can classify cats and dog and everything thats not cat nor dog. And my programm has this: error i can't solve:

            " File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 146, in train(epoch) File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 109, in train loss = criterion(out, target) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/loss.py", line 1047, in forward return F.cross_entropy(input, target, weight=self.weight, File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2693, in cross_entropy return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2388, in nll_loss ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) RuntimeError: 1D target tensor expected, multi-target not supported"

            The code:

            ...

            ANSWER

            Answered 2022-Feb-16 at 15:35

            The reason behind this error is that your targets list are list of lists like that:

            Source https://stackoverflow.com/questions/71142953

            QUESTION

            How to make conda use its own gcc version?
            Asked 2021-Dec-12 at 16:12

            I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:

            ...

            ANSWER

            Answered 2021-Dec-12 at 16:12

            Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.

            Source https://stackoverflow.com/questions/70316504

            QUESTION

            Pytorch: "KeyError: Caught KeyError in DataLoader worker process 0."
            Asked 2021-Dec-01 at 10:51

            Problem Description:

            I am trying to load image data using Pytorch custom dataset. I did a little dive deep and found that my images set consist of 2 types of shape (512,512,3) and (1024,1024) . My assumption is, because of the above reason, it is throwing the below error.

            Note: The code is able to read some of the images but, it is throwing the below error message for few of them. This was the reason to do a little EDA on the image data and found that there were 2 different shapes of images in the dataset.

            Q1. How to preprocess such image data for training?

            Q2. Is there any other reasons why I might be seeing the below error message?

            Error message:

            ...

            ANSWER

            Answered 2021-Oct-02 at 05:31

            found the issue with the code.

            Pytorch Custom Dataloader function "getitem" uses idx to retrieve data and my guess is, it know the range of idx from len function, ex: 0, till len(rows in dataset).

            In my case, I already had a panda dataset (train_data) with idx as one of the column. When I randomly split it into X_train and X_test, few of the data rows were moved to X_test along with the idx.

            Now, when I send X_train to the custom dataloader, it is trying to get row's image_id with an idx and that idx just happens to be in X_test dataset. This lead to error as keyerror: 16481 i.e row with idx=16481 is not present in the X_train dataset. It was moved to X_test during split.

            phew...

            Source https://stackoverflow.com/questions/69393214

            QUESTION

            ImportError after installing torchtext 0.11.0 with conda
            Asked 2021-Nov-24 at 22:00

            I have installed pytorch version 1.10.0 alongside torchtext, torchvision and torchaudio using conda. My PyTorch is cpu-only, and I have experimented with both conda install pytorch-mutex -c pytorch and conda install pytorch cpuonly -c pytorch to install the cpuonly version, both yielding the same eror that I will describe in the following lines.

            I have also installed pytorch-lightning in conda, alongside jsonargparse[summaries via pip in the environment.

            I have written this code to see whether LightningCLI works or not.

            ...

            ANSWER

            Answered 2021-Nov-24 at 22:00

            So in order to fix the problem, I had to change my environment.yaml in order to force pytorch to install from the pytorch channel.

            So this is my environment.yaml now:

            Source https://stackoverflow.com/questions/70098916

            QUESTION

            AttributeError: module 'torch.optim.lr_scheduler' has no attribute 'LinearLR'
            Asked 2021-Nov-10 at 13:38

            I'm trying to train my own object detection model with Pytorch. But im getting always this error. I tried to change the torch version but this doesn't helped.
            My packages: torchvision-0.11.1 and torch-1.10.0

            ...

            ANSWER

            Answered 2021-Nov-10 at 13:38

            LinearLR scheduler was only recently introduced (v1.10.0). Please make sure your pytorch version is up to date and try again.

            Source https://stackoverflow.com/questions/69914189

            QUESTION

            Combing two torchvision.dataset objects into a single DataLoader in PyTorch
            Asked 2021-Nov-01 at 06:18

            I am training a GANS on the Cifar-10 dataset in PyTorch (and hence don't need train/val/test splits), and I want to be able to combine the torchvision.datasets.CIFAR10 in the snippet below to form one single torch.utils.data.DataLoader iterator. My current solution is something like :

            ...

            ANSWER

            Answered 2021-Nov-01 at 06:18

            You can use ConcatDataset from torch.utils.data module.

            Code Snippet:

            Source https://stackoverflow.com/questions/69792591

            QUESTION

            Dataset not found or corrupted. You can use download=True to download it
            Asked 2021-Oct-31 at 13:34

            Recently I downloaded CelebA dataset from this page. I want to apply some transformations to this data set:

            To do it firstly let's define transformations:

            ...

            ANSWER

            Answered 2021-Oct-28 at 14:28

            It seems like for some copyright/privacy/legal consideration CelebA dataset is slowly going "off-grid".
            If you really have to use it, try downloading it from the baidu drive.

            Other users report that there might be download quota issues, and retrying might resolve the issue.

            What exactly is the error you get when you try download=True?

            Source https://stackoverflow.com/questions/69755609

            QUESTION

            How does one install pytorch 1.9 in an HPC that seems to refuse to cooperate?
            Asked 2021-Sep-27 at 15:21

            I've been trying to install PyTorch 1.9 with Cuda (ideally 11) on my HPC but I cannot.

            The cluster says:

            ...

            ANSWER

            Answered 2021-Sep-23 at 06:45

            First of all, as @Francois suggested, try to uninstall the CPU only version of pytorch. Also in your installation script, you should use either conda or pip3.

            Then you may want to try the following attempts:

            • using conda: add conda-forge channel to your command (conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia -c conda-forge). And make sure conda is updated.
            • using pip: insert --no-cache-dir into your command (pip3 --no-cache-dir install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html) to avoid the MemoryError.

            Source https://stackoverflow.com/questions/69230502

            QUESTION

            How to obtain the path name of train_dataset after using random_split in torch
            Asked 2021-Sep-22 at 16:23

            I have the following code:

            ...

            ANSWER

            Answered 2021-Sep-22 at 12:02

            The paths (and labels) are stored in dataset.imgs. For instance, for imagenet:

            Source https://stackoverflow.com/questions/69283506

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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