Troubleshooting

Error while processing a project - PIX4Dcloud

If a project's processing fails to complete successfully, failing prematurely before generating outputs, there are a few items to check before proceeding. This article highlights a few of the most common causes.

Information: If the problem is related to the display of the outputs and not the processing (the outputs are generated, but something in the display doesn't work, or no email is sent as error notification). For more information, Output is not displayed / feature is missing in the cloud.

Cause description: Processing failed due to a lack of resources on the servers.


Although PIX4Dcloud supports up to 4000 images, it does not mean that they can be handled in all cases. This is particularly true when using large-format cameras (42 MP or more) or projects with a lot of overlap (oblique flights). Depending on image size, overlap, shape of the project, and outputs to be generated, the process may fail even with less than 4000 images. 


When reviewing the project log file, if the server's GPU and RAM usage exceed 90%, this indicates that project processing has been affected by a lack of resources.

Possible solutions:

1. If the project was processed directly on PIX4Dcloud:
2. If the project was uploaded from PIX4Dmapper or PIX4Dmatic to be processed in PIX4Dcloud,  then try choosing at least one of the following options:
    • Reducing the quality of outputs to be produced (e.g. decrease the density of the point cloud, define a smaller pixel size for the ortho...).
    • Reducing the number of images. Sometimes, there are flying modes in some drones that capture more images than necessary to cover the area, or sometimes, the images cover a larger area, and some of them can be skipped.
    • Ensuring the strictly necessary outputs are marked for their generation.
    • Defining a processing area.

Information: We recommend to see the PIX4Dcloud best practises article to understand how to work and what to expect from PIX4Dcloud.

Cause description: Project failed due to the wrong inputs

A project may fail due to wrong inputs: images, ground control points, and coordinate systems.

In this case, we recommend the following checks:

Information: It is also recommended to review the Quality Report that is usually available in the email that is sent after the process has finished.

To analyze the Quality report, see this article.