- If the rapid / low resolution processing succeeds, it is safe to assume that the results of full processing will be of high quality.
- If the rapid / low resolution processing fails, it is an indication that this dataset requires more overlap (for more information about how to design the flight plan: Step 1. Before Starting a Project > 1. Designing the Image Acquisition Plan). If so, it is advised to collect more images either by flying again and combining the projects together, or by changing the flight plan to get more overlap.
- It is possible to obtain results with the full processing even if the rapid / low resolution processing fails. However, the results in that case may be of lower quality, consist of less calibrated images or contain artifacts.
- It is possible that the rapid / low resolution processing succeeds and the full processing fails. It is a rare case and usually happens with blurry or low textured images where few keypoints can be computed in full pixel resolution. It is advised to collect new sharp (not blurry) images. The full processing can succeed setting the Keypoints Image Scale to Half image size or Quarter image size. For more information: Menu Process > Processing Options... > 1. Initial Processing > General.
Pix4Dmapper has Processing Templates with predefined options that can be used for processing. The default Templates (3D Maps, 3D Models, Ag Multispectral, Ag Modified Camera, Ag RGB, Thermal Camera) are designed to give the best outputs depending on the dataset. There are also the fast versions of these Templates that are designed to give faster, lower accuracy outputs (3D Maps - Rapid/Low Res, 3D Models - Rapid/Low Res, Ag Multispectral - Rapid/Low Res, Ag Modified Camera - Rapid/Low Res, Ag RGB - Rapid/Low Res, Thermal Camera, ThermoMap Camera). For more information about the Processing Options Templates: Processing Options Default Templates.
Rapid / Low Resolution
Full
Quality
Reduces the resolution of the original images (depending on the dataset) and therefore lowers the accuracy and may lead to incomplete results. Fewer keypoints are extracted on each image and therefore the amount of matched points between the images is lower.
Allows to process the original images with the best resolution (depending on the dataset) and therefore provides results with higher accuracy.
Speed
It provides results significantly faster.
It provides results significantly slower.
Use
It is recommend to use it:
- When still in the field as a rapid check of the dataset: How to do a Rapid Check of the Dataset while still being in the Field.
- To get a fast preview of the outputs.
It is recommend to use it when back in the office to take detailed, accurate outputs.
Note:
Important: When merging projects, it is recommended that the individual projects have been processed in Full mode with the same processing options.