I have a big project with 11,800 images. I surveyed the area with Wingtraone drone in 16 flights. Processing one zone by Pix4Dmapper was easy, but for the large area it is very slow. So, I activated Pix4Dmatic for one month, and now trying to process the whole area once. I noticed that Pix4Dmatic consumes a lot of hard space, and it is very slow in the final steps.
My PC specifications:
Processor: AMD Ryzen Threadripper 3960x 24-core double thread
Ram: 128 GB
Graphic: 12 GB
Is there any option to make it processing faster and consume less space?
Is it possible to process it by Pix4Dmapper?
Now I am processing the whole area by matic. The 1st step (calibration) finished, I chose 1/2 image scale. Then I imported 30 GCPs then calibrated again; that step also finished. Now running the Densify with default settings:
Algorithm: HW accelerated
Density: Optimal
Min matches: 3
in 12 hours 35% of this step finished. I also checked the quality report, which will be done after the densification, and I will send you.
I installed an 8 TB SSD hard to my PC then run the model. All steps went well, but the last step, orthomosaic, is very slow. In 2 days the total percentage is 10% and the ortho creation is 30%; is that normal?
We had a look and noticed the Deghosting option is enabled which increases the processing time and memory consumption.
If the processing still did not finish, we recommend canceling and saving the project. After upgrading to the latest version of PIX4Dmatic, disable the Deghosting option and process the Orthomosaic step once more. There is no need to reprocess the other steps.
@Blaz
Thank you so much Blaz
Before processing I noticed that Deghosting will consume time, but I think it is necessary. The area I am processing had many moving cars.
If you decide to wait for it to process with the Deghosting enabled, please let us know how long it took.
The orthomosaic that you try to generate is very large (204800x200704 pixels) and it can take a while to generate it. Next time you can consider increasing the Resolution value or disabling the Deghosting.
You can refer to the PIX4Dmatic FAQ to get an idea about how long it takes to process a project. Note that most of the dataset in the graphs are done with â20MP camera while yours is 42MP.
Yes I have 11,850 images taken by 42 Mpix camera. All images are more than 200 GB.
The required resolution is 5 cm, I set on that. After finishing this I will rerun the last step with deactivating the Deghosting.
Another question: required to produce an accurate DTM; which software is better for DTM generation? Auto DTM is not accurate, in Pix4dmapper I deleted objects manually, but took long time for small projects even. Is Pix4Dsurvey practical for this purpose? Or importing the Las file to ArcGIS Pro?
I also have a Wingtra. I use ArcGIS Pro to create a DTM. First create a las dataset from the individual las files. Then run the automated ground classification tool in Pro. There are several options to choose from. Once you are satisfied with the automated classification, use the las dataset to raster tool to generate a raster DTM. Then you can use the pixel editor to cleanup the DTM, as necessary.
You can also try out PIX4Dsurvey which can classify point clouds into terrain and non-terrain classes and generate a representation of the ground surface by only using the terrain points. The workflow is the following:
Terrain filter to classify selected input point clouds into terrain and non-terrain points.
Grid of points to automate the creation of spot elevations. Using the Smart type creates points only where changes in terrain occur.
TIN is a seamless set of triangles that represent a surface. When using only terrain points the generated surface is a DTM .
The TIN can be exported as a surface in LandXML file format which is fully compatible with CAD software.
Thank you @Andrew_Milanes
Pix4dmapper creates a number of las files; but the matic created 1 large las file (95 GB). Can GIS pro run the file of that size? And I am using GIS for other purposes, havenât used in photogrammetry, is there any YouTube tutorial about that?
I would assume Pro could handle it. It doesnât load the whole point cloud on screen anyways. Just create a las dataset from the las file. Then do the ground classification. Your workstation should have no problem with this. I just completed a project with 20,000 42mp images. Pro classified the las dataset in less than 30 minutes. Be sure to set a DTM resolution when you perform the classification. 1 foot resolution is plenty good enough for a DTM.
These cookies are necessary for the website to function and cannot be switched off in our systems.
They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences,
logging in, or filling in forms. These cookies do not store any personally identifiable information.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site.
They help us to know which pages are the most and least popular and see how visitors move around the site.
All information these cookies collect is aggregated and therefore anonymous.
If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies may be set through our site by our advertising partner (Google).
They may be used by Google to build a profile of your interests and show you relevant adverts on other sites.
They do not directly store personal information but are based on uniquely identifying your browser and internet device.
If you do not allow these cookies, you will experience less targeted advertising.
