It is simple logic to use a different media player to play the video file. Some players are designed to run specific formats, and you need to install codecs in them to run the video. But there are some video players like VLC player that can run the majority of the video formats. It possibly can run your video file, which is showing the error message.
One easy method to get rid of the error is to change the video format. Nowadays, multiple tools can complete the job for you quickly. But you should note that while changing the video format, the video may lose some audio or video quality, reducing the resolution. For video format conversion, you can try Kernel Video Converter. It supports almost all popular video file formats for conversion and is easy to use.
HiI am also testing some of the files.I found the same problem.I used same code as @charco for video.And I also enable built-in-server in content file type and also In option of built in server.And also tried dependencies option.With http and also with force virtualizationBut still it show invalid source in .exeMy HTML perfectly work in other browser and internet explorer.
This article contains information about the restrictions and limitations that apply to files, file names and file types when syncing with OneDrive for home, OneDrive for work or school or SharePoint in Microsoft 365.
Outlook .PST files are supported, however they are synced less frequently compared to other file types to reduce network traffic. To prevent uploading .PST files from the OneDrive sync app, read Blocking syncing of specific file types. To move .PST files out of OneDrive, read How to remove an Outlook PST data file from OneDrive. If users enable PC folder backup (Known Folder Move) manually without the group policy, they will see an error if they have a .PST file in one of their known folders (e.g. Documents). If Known Folder Move is enabled and configured via group policy, .PST files will be migrated.
The entire decoded file path, including the file name, can't contain more than 400 characters for OneDrive, OneDrive for work or school and SharePoint in Microsoft 365. The limit applies to the combination of the folder path and file name after decoding.
On page load of an entity that displays a field of type video_embed_html5, where the video or thumbnail should show, nothing shows. Clicking the play button causes nothing to happen. (We have had reports that on some browsers the following error message is shown: "Error: Unsupported video type or invalid file path")
When you try to import audio files like AVCHD (MTS), MP3, and MP4 files in your project using Premiere Pro, you could get an error message that says, "The file has an unsupported compression type." This error is sometimes noticed with other Adobe audio and video products like After Effects and Media Encoder.
Summary: Are you unable to watch videos on computer or phone due to unsupported video codec error? Learn the best ways to fix unsupported video format or codec error on your Windows, Mac or Android.
You can get such error messages when trying to play a video on PC, Mac, Smart TV, Android or other devices. Unsupported format errors are also reported while trying to open a file in video editing tools.
Get VLC Media Player to fix video codec error on Android, Mac or Windows. The player is compatible with most file formats including MP4, AVI, MKV, MOV, AVCHD, etc. You can even watch DVD movies on VLC Player.
Convert the file format of your video that is showing unsupported codec error. Choose a different format that is compatible with your player. Usually MP4, MOV, and AVI files are playable in all media players and video editing software.
If you are receiving the codec error on Smart TV when trying to play a video, first transfer the file to your laptop. Next, fix codec issue by converting the video file to a format supported by your Smart TV. You can use any of the above conversion method.
If your Word file is influenced by invalid format, you can use a third-party software called Remo Repair Word. It can fix Word file invalid format with ease and will not modify your original files. Here are the guidelines to use it:
Not all resource types are available in every AWS Region. Templates that include resource types that aren't available in your AWS Region result in the following error: "Unrecognized resource types: [XXXXXXXX]."
You will receive this error if a column selection is made for a component, but the selected column(s) do not exist in the input data set. This error may occur if you have manually typed in a column name or if the column selector has provided a suggested column that did not exist in your dataset when you ran the pipeline.
You will receive this error in Azure Machine Learning if any inputs or parameters to a component are null or empty. This error might occur, for example, when you did not type in any value for a parameter. It can also happen if you chose a dataset that has missing values, or an empty dataset.
Unable to find a resolution that matches your scenario? You can provide feedback on this topic that includes the name of the component that generated the error, and the data type and cardinality of the column. We will use the information to provide more targeted troubleshooting steps for common scenarios.
For example, you might receive this error in Azure Machine Learning if your column selection includes a column with a data type that cannot be processed by the component, such as a string column for a math operation, or a score column where a categorical feature column is required.
Resolution:This error in Azure Machine Learning can appear in many contexts, so there is not a single resolution. In general, the error indicates that the data provided as input to a component has the wrong number of columns, or that the data type does not match requirements of the component. For example:
This error in seen in Azure Machine Learning when there are not enough rows in the dataset to perform the specified operation. For example, you might see this error if the input dataset is empty, or if you are trying to perform an operation that requires some minimum number of rows to be valid. Such operations can include (but are not limited to) grouping or classification based on statistical methods, certain types of binning, and learning with counts.
This error in Azure Machine Learning occurs if the target column (as selected in the component parameters) is not of the valid data-type, contained all missing values, or was not categorical as expected.
Resolution:If any columns have same name, add an instance of Edit Metadata between the input dataset and the component raising the error. Use the Column Selector in Edit Metadata to select columns to rename, and type the new columns names into the New column names textbox. If you are renaming multiple columns, ensure that the values you type in the New column names are unique.
This error in Azure Machine Learning occurs when it is not possible to convert column to the specified type. You will receive this error if a component requires a particular data type, such as datetime, text, a floating point number, or integer, but it is not possible to convert an existing column to the required type.
This error in Azure Machine Learning occurs when it is not possible to infer the type of a column or columns in a dataset. This typically happens when concatenating two or more datasets with different element types. If Azure Machine Learning is unable to determine a common type that is able to represent all the values in a column or columns without loss of information, it will generate this error.
This error in Azure Machine Learning occurs when it is not possible to create a directory on the specified path. You will receive this error if any part of the path to the output directory for a Hive Query is incorrect or inaccessible.
This error in Azure Machine Learning occurs when it is not possible to parse a file. You will receive this error if the file format selected in the Import Data component does not match the actual format of the file, or if the file contains an unrecognizable character.
This error in Azure Machine Learning occurs if a column index specified when using the Column Selector cannot be parsed. You will receive this error when the column index is in an invalid format that cannot be parsed.
This error in Azure Machine Learning occurs when you attempt to access a non-existent Azure table. You will receive this error if you specify a table in Azure storage, which does not exist when reading from or writing to Azure Table Storage. This can happen if you mistype the name of the desired table, or you have a mismatch between the target name and the storage type. For example, you intended to read from a table but entered the name of a blob instead.
This error in Azure Machine Learning occurs when it is not possible to convert column to another type. You will receive this error if a component requires a particular type and it is not possible to convert the column to the new type.
Resolution:In almost all components that import or export data to and from Azure blob storage, parameter values controlling the write mode are assigned by using a dropdown list; therefore, it is not possible to pass an invalid value, and this error should not appear. This error will be deprecated in a later release.
This error in Azure Machine Learning occurs if the Azure storage container name is specified incorrectly. You will receive this error if you have not specified both the container and the blob (file) name using the Path to blob beginning with container option when writing to Azure Blob Storage. 2b1af7f3a8