From eb9affe71f16564c5bc1ad728cc03cd7c9c7cff9 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Tue, 8 Jul 2025 14:03:26 +0000 Subject: [PATCH] Update documentation --- _sources/map-accuracy.rst.txt | 6 +++++- cs/.doctrees/environment.pickle | Bin 189707 -> 189707 bytes cs/.doctrees/flowchart.doctree | Bin 13544 -> 13544 bytes cs/.doctrees/map-accuracy.doctree | Bin 77906 -> 79472 bytes cs/_sources/map-accuracy.rst.txt | 6 +++++- cs/flowchart/index.html | 4 ++-- cs/map-accuracy/index.html | 13 ++++++++++++- cs/searchindex.js | 2 +- es/.doctrees/environment.pickle | Bin 189897 -> 189897 bytes es/.doctrees/flowchart.doctree | Bin 13544 -> 13544 bytes es/.doctrees/map-accuracy.doctree | Bin 79597 -> 81163 bytes es/_sources/map-accuracy.rst.txt | 6 +++++- es/flowchart/index.html | 4 ++-- es/map-accuracy/index.html | 13 ++++++++++++- es/searchindex.js | 2 +- fil/.doctrees/environment.pickle | Bin 189572 -> 189572 bytes fil/.doctrees/flowchart.doctree | Bin 13534 -> 13534 bytes fil/.doctrees/map-accuracy.doctree | Bin 76051 -> 77562 bytes fil/_sources/map-accuracy.rst.txt | 6 +++++- fil/flowchart/index.html | 4 ++-- fil/map-accuracy/index.html | 13 ++++++++++++- fil/searchindex.js | 2 +- flowchart/index.html | 4 ++-- fr/.doctrees/environment.pickle | Bin 189588 -> 189588 bytes fr/.doctrees/flowchart.doctree | Bin 13544 -> 13544 bytes fr/.doctrees/map-accuracy.doctree | Bin 79633 -> 81199 bytes fr/_sources/map-accuracy.rst.txt | 6 +++++- fr/flowchart/index.html | 4 ++-- fr/map-accuracy/index.html | 13 ++++++++++++- fr/searchindex.js | 2 +- id/.doctrees/environment.pickle | Bin 189370 -> 189370 bytes id/.doctrees/flowchart.doctree | Bin 13533 -> 13533 bytes id/.doctrees/map-accuracy.doctree | Bin 75665 -> 77176 bytes id/_sources/map-accuracy.rst.txt | 6 +++++- id/flowchart/index.html | 4 ++-- id/map-accuracy/index.html | 13 ++++++++++++- id/searchindex.js | 2 +- map-accuracy/index.html | 13 ++++++++++++- searchindex.js | 2 +- sw/.doctrees/environment.pickle | Bin 189297 -> 189297 bytes sw/.doctrees/flowchart.doctree | Bin 13533 -> 13533 bytes sw/.doctrees/map-accuracy.doctree | Bin 75550 -> 77061 bytes sw/_sources/map-accuracy.rst.txt | 6 +++++- sw/flowchart/index.html | 4 ++-- sw/map-accuracy/index.html | 13 ++++++++++++- sw/searchindex.js | 2 +- te/.doctrees/environment.pickle | Bin 190185 -> 190185 bytes te/.doctrees/flowchart.doctree | Bin 13533 -> 13533 bytes te/.doctrees/map-accuracy.doctree | Bin 82689 -> 84200 bytes te/_sources/map-accuracy.rst.txt | 6 +++++- te/flowchart/index.html | 4 ++-- te/map-accuracy/index.html | 13 ++++++++++++- te/searchindex.js | 2 +- 53 files changed, 160 insertions(+), 40 deletions(-) diff --git a/_sources/map-accuracy.rst.txt b/_sources/map-accuracy.rst.txt index 72b69c1dd..2201bd13f 100644 --- a/_sources/map-accuracy.rst.txt +++ b/_sources/map-accuracy.rst.txt @@ -313,7 +313,11 @@ It should make the Time-SIFT processing on the downloaded example data, stopping In the destination dir, you should obtain new directories, ``0_before`` and ``1_after`` at the same level as the ``time-sift-block`` directory. These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/cs/.doctrees/environment.pickle b/cs/.doctrees/environment.pickle index 5fa4837af37bf48348cb9f6ef2d28a4d74a0bff1..6877fddcab35f0dbb0d23bac67ed29bec2ae0d3b 100644 GIT binary patch delta 23714 zcmeHvX?PXIwzge?Y-R`{Bq4z$>;%FPAj~rxQBgtWDL{abfuzY~1_l{6C{u5upcO4e zP!JUlim0gZDgr8k2qJn=R1k2U@F4|2-=4QF8Tom0Fy17H6lN4;S5`F2D=aO`$j_Hf_qMW2hnBLWW4t`pDY0FxV@tA2 z%5iM7TE`Zp%qcFftca4MdPOBxRx}O{WtA3GR)hup;>?t?y!>prxN95veR6b*@ZbNx!|<2yG>Y92f)yD%$d zK90EJfYRdpyfWFeTPrJ4#`TPpLsH|L*18F~+4;pXziVsxO=_&X*rj3T7QyvO3rccQ zO7n|~al$L$l+66{(z5IlnbsvnK9dq5@4`J>n%YhlCdbA{1Q#%0PkvrOURh;@r>MNF zxV)@X)=6%gQtN)r$t=F&{>{lQ!nab8QJj*InOR6I*+SmxTHnr`{IVRmv|GF8 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b/cs/_sources/map-accuracy.rst.txt index 72b69c1dd..2201bd13f 100644 --- a/cs/_sources/map-accuracy.rst.txt +++ b/cs/_sources/map-accuracy.rst.txt @@ -313,7 +313,11 @@ It should make the Time-SIFT processing on the downloaded example data, stopping In the destination dir, you should obtain new directories, ``0_before`` and ``1_after`` at the same level as the ``time-sift-block`` directory. These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/cs/flowchart/index.html b/cs/flowchart/index.html index 81ce6e2d3..1715721dd 100644 --- a/cs/flowchart/index.html +++ b/cs/flowchart/index.html @@ -30,7 +30,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-f7691daa-c666-49f5-8a3f-377129d2fedb] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-10bbbbc7-133d-47f7-82a8-36bb6ed3f9ee] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -491,7 +491,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/cs/map-accuracy/index.html b/cs/map-accuracy/index.html
index 92a16cadd..5d868995f 100644
--- a/cs/map-accuracy/index.html
+++ b/cs/map-accuracy/index.html
@@ -682,7 +682,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/cs/searchindex.js b/cs/searchindex.js index 1de837b58..658cc6af2 100644 --- a/cs/searchindex.js +++ b/cs/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3D Textured Model": [[112, "d-textured-model"]], "3d-tiles": [[1, null]], "Accessing the Logs": [[109, "accessing-the-logs"]], "Acknowledgments": [[109, "acknowledgments"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Aspects impacting map accuracy": [[110, "aspects-impacting-map-accuracy"]], "Autoscaling ClusterODM": [[109, "autoscaling-clusterodm"]], "Build Singularity image from Docker image": [[113, "build-singularity-image-from-docker-image"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Co je automatick\u00e1 hranice?": [[3, "what-is-auto-boundary"]], "Co je to Hranice [GeoJSON]?": [[6, "what-is-boundary-geojson"]], "Co jsou modely objektiv\u016f fotoapar\u00e1t\u016f?": [[8, "what-are-camera-lens-models"]], "Co to je a pro koho je to ur\u010deno?": [[113, "what-is-this-and-who-is-it-for"]], "Community Forum": [[103, "community-forum"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Distributed Split-Merge": [[109, "distributed-split-merge"]], "Dobr\u00fd den, WebODM!": [[108, "hello-webodm"]], "Dokon\u010den\u00ed polygonu": [[6, "completing-a-polygon"]], "Doporu\u010den\u00ed k hardwaru": [[108, "hardware-recommendations"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Example Images": [[7, "example-images"], [10, "example-images"]], "Export funkc\u00ed do\u010dasn\u00e9 vrstvy Scratch": [[6, "export-temporary-scratch-layer-features"]], "False: null": [[3, "false-null"], [6, "false-null"], [7, "false-null"], [10, "false-null"]], "Flowchart with options": [[105, null]], "Flying Tips": [[106, null]], "For Developers": [[104, "for-developers"]], "For Users": [[104, "for-users"]], "Fork and clone repository": [[113, "fork-and-clone-repository"]], "Frequently Asked Questions and Additional Resources": [[104, null]], "GCP Editor Pro": [[110, "id2"]], "GCP file format": [[110, "gcp-file-format"]], "GCPs": [[113, "gcps"]], "GeoJSON.io": [[6, "geojson-io"]], "Getting Started with Distributed Split-Merge": [[109, "getting-started-with-distributed-split-merge"]], "Ground Control Points": [[110, "ground-control-points"]], "Hardware": [[111, "hardware"]], "High Precision Workflows": [[110, null]], "How To Contribute": [[103, "how-to-contribute"]], "How To Request Features": [[103, "how-to-request-features"]], "How to Contribute and Request Features": [[103, null]], "Hranice [GeoJSON] Na\u010dteno v mo\u017enostech \u00falohy": [[6, "boundary-geojson-loaded-in-task-options"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative accuracy": [[110, "improving-relative-accuracy"]], "Instalace": [[108, "installation"], [113, "install"]], "Instalace a spu\u0161t\u011bn\u00ed": [[108, null]], "Instalace na Arch": [[108, "install-on-arch"]], "Instalace na CentOS / RHEL": [[108, "install-on-centos-rhel"]], "Instalace na Ubuntu / Debian": [[108, "install-on-ubuntu-debian"]], "Instalace v syst\u00e9mu Fedora": [[108, "install-on-fedora"]], "Install and use changes": [[113, "install-and-use-changes"]], "Jak se vytv\u00e1\u0159\u00ed Hranice [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "Kalibrace kamery": [[113, "calibrating-the-camera"]], "Kamery": [[113, "cameras"]], "Kdy je automatick\u00e1 hranice u\u017eite\u010dn\u00e1?": [[3, "when-is-auto-boundary-helpful"]], "Kdy je vhodn\u00e9 pou\u017e\u00edt Hranice [GeoJSON]?": [[6, "when-is-boundary-geojson-appropriate"]], "Kdy je vhodn\u00fd ru\u010dn\u00ed v\u00fdb\u011br?": [[8, "when-are-manual-selections-appropriate"]], "Krok 1. 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"build-singularity-image-from-docker-image"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Co je automatick\u00e1 hranice?": [[3, "what-is-auto-boundary"]], "Co je to Hranice [GeoJSON]?": [[6, "what-is-boundary-geojson"]], "Co jsou modely objektiv\u016f fotoapar\u00e1t\u016f?": [[8, "what-are-camera-lens-models"]], "Co to je a pro koho je to ur\u010deno?": [[113, "what-is-this-and-who-is-it-for"]], "Community Forum": [[103, "community-forum"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Distributed Split-Merge": [[109, "distributed-split-merge"]], "Dobr\u00fd den, WebODM!": [[108, "hello-webodm"]], "Dokon\u010den\u00ed polygonu": [[6, "completing-a-polygon"]], "Doporu\u010den\u00ed k hardwaru": [[108, "hardware-recommendations"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Example Images": [[7, "example-images"], [10, "example-images"]], "Export funkc\u00ed do\u010dasn\u00e9 vrstvy Scratch": [[6, "export-temporary-scratch-layer-features"]], "False: null": [[3, "false-null"], [6, "false-null"], [7, "false-null"], [10, "false-null"]], "Flowchart with options": [[105, null]], "Flying Tips": [[106, null]], "For Developers": [[104, "for-developers"]], "For Users": [[104, "for-users"]], "Fork and clone repository": [[113, "fork-and-clone-repository"]], "Frequently Asked Questions and Additional Resources": [[104, null]], "GCP Editor Pro": [[110, "id2"]], "GCP file format": [[110, "gcp-file-format"]], "GCPs": [[113, "gcps"]], "GeoJSON.io": [[6, "geojson-io"]], "Getting Started with Distributed Split-Merge": [[109, "getting-started-with-distributed-split-merge"]], "Ground Control Points": [[110, "ground-control-points"]], "Hardware": [[111, "hardware"]], "High Precision Workflows": [[110, null]], "How To Contribute": [[103, "how-to-contribute"]], "How To Request Features": [[103, "how-to-request-features"]], "How to Contribute and Request Features": [[103, null]], "Hranice [GeoJSON] Na\u010dteno v mo\u017enostech \u00falohy": [[6, "boundary-geojson-loaded-in-task-options"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative accuracy": [[110, "improving-relative-accuracy"]], "Instalace": [[108, "installation"], [113, "install"]], "Instalace a spu\u0161t\u011bn\u00ed": [[108, null]], "Instalace na Arch": [[108, "install-on-arch"]], "Instalace na CentOS / RHEL": [[108, "install-on-centos-rhel"]], "Instalace na Ubuntu / Debian": [[108, "install-on-ubuntu-debian"]], "Instalace v syst\u00e9mu Fedora": [[108, "install-on-fedora"]], "Install and use changes": [[113, "install-and-use-changes"]], "Jak se vytv\u00e1\u0159\u00ed Hranice [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "Kalibrace kamery": [[113, "calibrating-the-camera"]], "Kamery": [[113, "cameras"]], "Kdy je automatick\u00e1 hranice u\u017eite\u010dn\u00e1?": [[3, "when-is-auto-boundary-helpful"]], "Kdy je vhodn\u00e9 pou\u017e\u00edt Hranice [GeoJSON]?": [[6, "when-is-boundary-geojson-appropriate"]], "Kdy je vhodn\u00fd ru\u010dn\u00ed v\u00fdb\u011br?": [[8, "when-are-manual-selections-appropriate"]], "Krok 1. Instalace po\u017eadavk\u016f": [[108, "step-1-install-requirements"]], "Krok 1. Zkontrolujte podporu virtualizace": [[108, "step-1-check-virtualization-support"], [108, "id1"]], "Krok 2. Po\u017eadavky na instalaci": [[108, "step-2-install-requirements"], [108, "id2"]], "Krok 2. Zkontrolujte dal\u0161\u00ed po\u017eadavky": [[108, "step-2-check-additional-requirements"]], "Krok 3. Sta\u017een\u00ed a spu\u0161t\u011bn\u00ed WebODM": [[108, "step-3-download-and-launch-webodm"]], "Krok 3. Zkontrolujte p\u0159id\u011blen\u00ed pam\u011bti a procesoru": [[108, "step-3-check-memory-and-cpu-allocation"], [108, "id3"]], "Krok 4. Spus\u0165te WebODM": [[108, "step-4-launch-webodm"]], "Krok 4. Sta\u017een\u00ed a spu\u0161t\u011bn\u00ed WebODM": [[108, "step-4-download-and-launch-webodm"]], "Krok 4. St\u00e1hn\u011bte si WebODM": [[108, "step-4-download-webodm"]], "Kroky": [[113, "steps"]], "Large Datasets": [[109, null]], "Letov\u00fd model": [[113, "flight-pattern"]], "Licencov\u00e1n\u00ed": [[104, "licensing"]], "Limitations": [[109, "limitations"]], "Linux": [[108, "linux"]], "List of all outputs": [[112, "list-of-all-outputs"]], "Local Split-Merge": [[109, "local-split-merge"]], "Logs": [[112, "logs"]], "Map accuracy": [[110, "map-accuracy"]], "Measuring stockpile volume": [[113, "measuring-stockpile-volume"]], "Memory issues": [[104, "memory-issues"]], "Minimum RAM needed for N images": [[108, "id4"]], "Modify code": [[113, "modify-code"]], "Mo\u017enosti a zna\u010dky": [[0, null]], "Multi-temporal Datasets": [[110, "multi-temporal-datasets"]], "Multispectral and Thermal": [[111, null]], "Multispektr\u00e1ln\u00ed podpora": [[111, "multispectral-support"]], "M\u011b\u0159en\u00ed": [[113, "measurement"], [113, "measuring"]], "Nastaven\u00ed hranice [GeoJSON] v mo\u017enostech \u00falohy": [[6, "setting-boundary-geojson-in-task-options"]], "Navigace": [[113, "navigation"]], "Nov\u00e9 nastaven\u00ed do\u010dasn\u00e9 vrstvy Scratch": [[6, "new-temporary-scratch-layer-settings"]], "Nov\u00fd GeoJSON": [[6, "new-geojson"]], "Nov\u00fd typ geometrie do\u010dasn\u00e9 vrstvy Scratch": [[6, "new-temporary-scratch-layer-geometry-type"]], "N\u00e1stroje": [[113, "tools"]], "OpenDroneMap Outputs": [[112, null]], "Orthophoto": [[112, "orthophoto"]], "Ostatn\u00ed": [[113, "other"]], "Osv\u011btlen\u00ed o\u010dn\u00edho obzoru": [[113, "eye-dome-lighting"]], "Other resources on flying": [[106, "other-resources-on-flying"]], "Overview": [[110, "overview"]], "O\u010dek\u00e1van\u00e1 p\u0159esnost": [[113, "expected-accuracy"]], "O\u0159ez": [[113, "clipping"]], "POSM GCPi": [[110, "id1"]], "Parametry zpracov\u00e1n\u00ed": [[113, "processing-parameters"]], "Placing Vertices": [[6, "placing-vertices"]], "Plugin Time-SIFT": [[110, "plugin-time-sift"]], 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"why-would-one-use-auto-boundary"]], "Pro\u010d pou\u017e\u00edvat ur\u010dit\u00fd model objektivu fotoapar\u00e1tu?": [[8, "why-would-one-use-a-particular-camera-lens-model"]], "Pull Requests": [[103, "pull-requests"]], "P\u0159ep\u00edn\u00e1n\u00ed \u00faprav Vypnuto": [[6, "toggle-editing-off"]], "P\u0159id\u00e1n\u00ed ortofotografick\u00e9ho pozad\u00ed": [[6, "adding-an-orthophoto-background"]], "P\u0159id\u00e1n\u00ed prvku polygonu": [[6, "adding-a-polyon-feature"]], "P\u0159\u00edklady sn\u00edmk\u016f": [[3, "example-images"]], "P\u0159\u00edprava dat a projektu": [[113, "prep-data-and-project"]], "P\u0159\u00edstup k instanc\u00edm z p\u0159\u00edkazov\u00e9ho \u0159\u00e1dku": [[113, "command-line-access-to-instances"]], "P\u0159\u00edstup k protokol\u016fm instance": [[113, "accessing-logs-on-the-instance"]], "QGIS": [[6, "qgis"]], "Quickstart": [[108, "quickstart"]], "Recommended practices for GCP setting": [[110, "recommended-practices-for-gcp-setting"]], "References": 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Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/es/flowchart/index.html b/es/flowchart/index.html index 4b038e917..d92937007 100644 --- a/es/flowchart/index.html +++ b/es/flowchart/index.html @@ -30,7 +30,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-2e78fdea-64d1-4ebd-a1f2-632253568916] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-55c83196-e596-4d9d-811c-7d844354cea0] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -491,7 +491,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/es/map-accuracy/index.html b/es/map-accuracy/index.html
index bd5505a68..000932cd9 100644
--- a/es/map-accuracy/index.html
+++ b/es/map-accuracy/index.html
@@ -682,7 +682,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/es/searchindex.js b/es/searchindex.js index 2f48b190f..172062d32 100644 --- a/es/searchindex.js +++ b/es/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3d-tiles": [[1, null]], "Acceder a los registros": [[109, "accessing-the-logs"]], "Accediendo a los registros en la instancia": [[113, "accessing-logs-on-the-instance"]], "Acceso de l\u00ednea de comando a las instancias": [[113, "command-line-access-to-instances"]], "Adding A Polyon Feature": [[6, "adding-a-polyon-feature"]], "Adding an Orthophoto Background": [[6, "adding-an-orthophoto-background"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "Agradecimientos": [[109, "acknowledgments"]], "Ajuste de escala autom\u00e1tico de ClusterODM": [[109, "autoscaling-clusterodm"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Altura de vuelo": [[113, "flight-height"]], "Apariencia": [[113, "appearance"]], "Aspectos que impactan la precisi\u00f3n del mapa": [[110, "aspects-impacting-map-accuracy"]], "Bienvenido a la documentaci\u00f3n de OpenDroneMap": [[107, null]], "Boundary [GeoJSON] Loaded In Task Options": [[6, "boundary-geojson-loaded-in-task-options"]], "Build Singularity image from Docker image": [[113, "build-singularity-image-from-docker-image"]], "Calibrar la c\u00e1mara": [[113, "calibrating-the-camera"]], "Cambie el tama\u00f1o del Droplet, quite el seguro, huya": [[113, "resize-droplet-pull-pin-run-away"]], "Campo de visi\u00f3n": [[113, "field-of-view"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Comandos b\u00e1sicos y resoluci\u00f3n de problemas": [[108, "basic-commands-and-troubleshooting"]], "Como contribuir": [[103, "how-to-contribute"]], "Completing A Polygon": [[6, "completing-a-polygon"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Consejos de vuelo": [[106, null]], "Creaci\u00f3n de Ortofotos de Alta Calidad": [[113, "creating-high-quality-orthophotos"]], "Creaci\u00f3n de modelos de elevaci\u00f3n digitales": [[113, "creating-digital-elevation-models"]], "Creating A New Temporary Scratch Layer": [[6, "creating-a-new-temporary-scratch-layer"]], "Creating A Polygon": [[6, "creating-a-polygon"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "C\u00e1maras": [[113, "cameras"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Datos de preparaci\u00f3n y proyecto": [[113, "prep-data-and-project"]], "Despu\u00e9s de que termine (suponiendo que sobrevivas tanto tiempo)": [[113, "after-it-finishes-assuming-you-survive-that-long"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Downloading A Polygon": [[6, "downloading-a-polygon"]], "Ejecutando en m\u00e1s de una m\u00e1quina": [[108, "running-on-more-than-one-machine"]], "Entendiendo el Cluster": [[109, "understanding-the-cluster"]], "Escena": [[113, "scene"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Estructura del directorio": [[113, "directory-structure"]], "Example Images": [[3, "example-images"], [6, "example-images"]], "Export Temporary Scratch Layer Features": [[6, "export-temporary-scratch-layer-features"]], "False: null": [[3, "false-null"], [6, "false-null"]], "Falso: null": [[7, "false-null"], [10, "false-null"]], "Flowchart with options": [[105, null]], "Fondo": [[113, "background"]], "For Developers": [[104, "for-developers"]], "For Users": [[104, "for-users"]], "Fork and clone repository": [[113, "fork-and-clone-repository"]], "Foro comunitario": [[103, "community-forum"]], "Frequently Asked Questions and Additional Resources": [[104, null]], "GCP Editor Pro": [[110, "id2"]], "GCP file format": [[110, "gcp-file-format"]], "GCPs": [[113, "gcps"]], "GeoJSON.io": [[6, "geojson-io"]], "Ground Control Points": [[110, "ground-control-points"]], "Hardware": [[111, "hardware"]], "Herramientas": [[113, "tools"]], "High Precision Workflows": [[110, null]], "How To Request Features": [[103, "how-to-request-features"]], "How to Contribute and Request Features": [[103, null]], "How would one create Boundary [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "Iluminaci\u00f3n de domo": [[113, "eye-dome-lighting"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative accuracy": [[110, "improving-relative-accuracy"]], "Im\u00e1genes de ejemplo": [[7, "example-images"], [8, "example-images"], [10, "example-images"]], "Instalaci\u00f3n": [[108, 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a/fil/_sources/map-accuracy.rst.txt b/fil/_sources/map-accuracy.rst.txt index 72b69c1dd..2201bd13f 100644 --- a/fil/_sources/map-accuracy.rst.txt +++ b/fil/_sources/map-accuracy.rst.txt @@ -313,7 +313,11 @@ It should make the Time-SIFT processing on the downloaded example data, stopping In the destination dir, you should obtain new directories, ``0_before`` and ``1_after`` at the same level as the ``time-sift-block`` directory. These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/fil/flowchart/index.html b/fil/flowchart/index.html index 805fa4b8c..94272b96e 100644 --- a/fil/flowchart/index.html +++ b/fil/flowchart/index.html @@ -29,7 +29,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-8c3c72a7-f7bb-42c6-9e4b-cee5667c4d09] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-199c5f2e-4959-4ddf-a067-dd9da9d5188d] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -490,7 +490,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/fil/map-accuracy/index.html b/fil/map-accuracy/index.html
index 58221d2f6..3e0e7390f 100644
--- a/fil/map-accuracy/index.html
+++ b/fil/map-accuracy/index.html
@@ -681,7 +681,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/fil/searchindex.js b/fil/searchindex.js index 3c74845e4..63d711ae9 100644 --- a/fil/searchindex.js +++ b/fil/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3D Textured Model": [[112, "d-textured-model"]], "3d-tiles": [[1, null]], "Accessing logs on the instance": [[113, "accessing-logs-on-the-instance"]], "Acknowledgments": [[109, "acknowledgments"]], "Adding A Polyon Feature": [[6, "adding-a-polyon-feature"]], "Adding an Orthophoto Background": [[6, "adding-an-orthophoto-background"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Ano ito at para kanino ito?": [[113, "what-is-this-and-who-is-it-for"]], "Appearance": [[113, "appearance"]], "Autoscaling ClusterODM": [[109, "autoscaling-clusterodm"]], "Background": [[113, "background"]], "Basic na mga cCommands at Troubleshooting": [[108, "basic-commands-and-troubleshooting"]], "Boundary [GeoJSON] Loaded In Task Options": [[6, "boundary-geojson-loaded-in-task-options"]], "Build Singularity image from Docker image": [[113, "build-singularity-image-from-docker-image"]], "Cameras": [[113, "cameras"]], "Cleaning up after Docker": [[113, "cleaning-up-after-docker"]], "Clipping": [[113, "clipping"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Command line access to instances": [[113, "command-line-access-to-instances"]], "Completing A Polygon": [[6, "completing-a-polygon"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Creating A New Temporary Scratch Layer": [[6, "creating-a-new-temporary-scratch-layer"]], "Creating A Polygon": [[6, "creating-a-polygon"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data Processing": [[104, "data-processing"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Distributed Split-Merge": [[109, "distributed-split-merge"]], "Downloading A Polygon": [[6, "downloading-a-polygon"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Example Images": [[3, "example-images"], [6, "example-images"], [7, "example-images"], [8, "example-images"], [10, "example-images"]], "Expected accuracy": [[113, "expected-accuracy"]], "Export Temporary Scratch Layer Features": [[6, "export-temporary-scratch-layer-features"]], "Eye Dome-lighting": [[113, "eye-dome-lighting"]], "False: null": [[3, "false-null"], [6, "false-null"], [7, "false-null"], [10, 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Request Features": [[103, null]], "How would one create Boundary [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "I-resize ang droplet, hatakin ang pin at i-proseso ito.": [[113, "resize-droplet-pull-pin-run-away"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative accuracy": [[110, "improving-relative-accuracy"]], "Instalasyon at Paano Simulan": [[108, null]], "Install": [[113, "install"]], "Install and use changes": [[113, "install-and-use-changes"]], "Installation": [[108, "installation"]], "Ipakita ang mga Request": [[103, "pull-requests"]], "Istraktura ng direktoryo": [[113, "directory-structure"]], "Kawastuan ng Mapa": [[110, "map-accuracy"]], "Large Datasets": [[109, null]], "Licensing": [[104, "licensing"]], "Linux": [[108, "linux"]], "Listahan ng mga output": [[112, "list-of-all-outputs"]], "Listing Docker Machines": [[113, "listing-docker-machines"]], "Local Split-Merge": [[109, "local-split-merge"]], "Logs": [[112, "logs"]], "Maginstall sa Arch": [[108, "install-on-arch"]], "Maginstall sa CentOS / RHEL": [[108, "install-on-centos-rhel"]], "Maginstall sa Fedora": [[108, "install-on-fedora"]], "Maginstall sa Ubuntu / Debian": [[108, "install-on-ubuntu-debian"]], "Malugod na pagtanggap mula sa OpenDroneMap's Documentation": [[107, null]], "Matapos ang lahat (assuming na ikaw ay nagsurvive ng ganoon katagal)": [[113, "after-it-finishes-assuming-you-survive-that-long"]], "Measurement": [[113, "measurement"]], "Measuring": [[113, "measuring"]], "Measuring stockpile volume": [[113, "measuring-stockpile-volume"]], "Memory issues": [[104, "memory-issues"]], "Mga Dapat I-expect": [[110, "what-to-expect"]], "Mga Opsyon at Tanda": [[0, null]], "Mga Paalala sa Pagpapalipad": [[106, null]], "Mga Sanggunian": [[110, "references"], [110, "id3"]], "Mga Tutoryal": [[113, null]], "Mga aspeto na may impact sa map accuracy": [[110, "aspects-impacting-map-accuracy"]], "Mga limitasyon": [[109, "limitations"]], "Minimum RAM needed for N images": [[108, "id4"]], "Modify code": [[113, "modify-code"]], "Multi-temporal Datasets": [[110, "multi-temporal-datasets"]], "Multispectral Support": [[111, "multispectral-support"]], "Multispectral and Thermal": [[111, null]], "Navigation": [[113, "navigation"]], "New GeoJSON": [[6, "new-geojson"]], "New Temporary Scratch Layer Geometry Type": [[6, "new-temporary-scratch-layer-geometry-type"]], "New Temporary Scratch Layer Settings": [[6, "new-temporary-scratch-layer-settings"]], "OpenDroneMap Outputs": [[112, null]], "Orthophoto": [[112, "orthophoto"]], "Other": [[113, "other"]], "Other resources on flying": [[106, "other-resources-on-flying"]], "Overview": [[110, "overview"]], "POSM GCPi": [[110, "id1"]], "Paano makadaragdag": [[103, "how-to-contribute"]], "Paano simulan ang Distributed Split-Merge": [[109, "getting-started-with-distributed-split-merge"]], "Pag-access sa Logs": [[109, "accessing-the-logs"]], "Pag-kalibrate ng Camera": [[113, "calibrating-the-camera"]], "Paggamit": [[111, "usage"]], "Paggamit ng ODM para sa low-bandwidth na lokasyon.": [[113, "using-odm-from-low-bandwidth-location"]], "Pagkaunawa sa Cluster": [[109, "understanding-the-cluster"]], "Paglikha ng Digital Elevation Models": [[113, "creating-digital-elevation-models"]], "Paglikha ng Mataas na Kalidad ng Orthophotos": [[113, "creating-high-quality-orthophotos"]], "Pagpapatakbo sa dalawa o mas marami pang machine": [[108, "running-on-more-than-one-machine"]], "Pagsumite ng mga Sira": [[103, "reporting-bugs"]], "Pagtitipon ng Komunidad": [[103, "community-forum"]], "Placing Vertices": [[6, "placing-vertices"]], "Plugin Time-SIFT": [[110, "plugin-time-sift"]], "Point Cloud": [[112, "point-cloud"]], "Point budget": [[113, "point-budget"]], "Prep data and project": [[113, "prep-data-and-project"]], "Processing parameters": [[113, "processing-parameters"]], "Provided example": [[110, "provided-example"]], "QGIS": [[6, "qgis"]], "Quickstart": [[108, "quickstart"]], "Recommended practices for GCP setting": [[110, "recommended-practices-for-gcp-setting"]], "Requirements": [[110, "requirements"]], "Save Changes To Temporary Scratch Layer": [[6, "save-changes-to-temporary-scratch-layer"]], "Save Vector Layer As": [[6, "save-vector-layer-as"]], "Saving A Polygon": [[6, "saving-a-polygon"]], "Scene": [[113, "scene"]], "Set up local NodeODM docker instance": [[113, "set-up-local-nodeodm-docker-instance"]], "Setting Boundary [GeoJSON] In Task Options": [[6, "setting-boundary-geojson-in-task-options"]], "Step 1. I-check Virtualization Support": [[108, "step-1-check-virtualization-support"], [108, "id1"]], "Step 1. Mga kailangan bago maginstall.": [[108, "step-1-install-requirements"]], "Step 2. I-check ang mga karagdagan na requirements": [[108, "step-2-check-additional-requirements"]], "Step 2. Install Requirements": [[108, "step-2-install-requirements"], [108, "id2"]], "Step 3. Download and Launch WebODM": [[108, "step-3-download-and-launch-webodm"]], "Step 3. I-check ang Memory at CPU Allocation": [[108, "step-3-check-memory-and-cpu-allocation"], [108, "id3"]], "Step 4. Download WebODM": [[108, "step-4-download-webodm"]], "Step 4. I-download at i-launch ang WebODM": [[108, "step-4-download-and-launch-webodm"]], "Step 4. Launch WebODM": [[108, "step-4-launch-webodm"]], "Steps": [[113, "steps"]], "Supported Sensors": [[111, "supported-sensors"]], "Template para sa pagpapasa ng Bug Reports": [[103, "template-for-submitting-bug-reports"]], "Textured model": [[113, "textured-model"]], "Thermal Support": [[111, "thermal-support"]], "Toggle Editing Off": [[6, "toggle-editing-off"]], "Tools": [[113, "tools"]], "True: --auto-boundary": [[3, "true-auto-boundary"]], "True: --boundary [GeoJSON] - 3D Model/Textured Mesh": [[6, "true-boundary-geojson-3d-model-textured-mesh"]], "True: --boundary [GeoJSON] - Digital Elevation Model": [[6, "true-boundary-geojson-digital-elevation-model"]], "True: --boundary [GeoJSON] - Orthophoto": [[6, "true-boundary-geojson-orthophoto"]], "True: --boundary [GeoJSON] - Point Cloud": [[6, "true-boundary-geojson-point-cloud"]], "True: --build-overviews": [[7, "true-build-overviews"]], "True: --cog": [[10, "true-cog"]], "Usage": [[110, "usage"]], "User Interfaces": [[110, 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async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-31291655-5bde-471d-88fe-21720d3e79ae] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-a9dde58a-672b-4f70-9a27-8570b2d2cf9f] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -490,7 +490,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/fr/.doctrees/environment.pickle b/fr/.doctrees/environment.pickle
index 38c5279f64b54d070d4449b246c3ce7af65946f1..f24e0dd474102097903c5ac64a399c72ec0ca57b 100644
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diff --git a/fr/.doctrees/map-accuracy.doctree b/fr/.doctrees/map-accuracy.doctree index f5183bdca2e7b9c17556a7e237a2a6bfe32d6a79..9f01e9c88ca6f113ea5a041e6a7aa0bee8d30ac9 100644 GIT binary patch delta 2845 zcmb_edu&rx81HxcT07QubCk`N?T)dyvUN~4I`=U2PINPXF<=l~U_eEP4B0|`V(j0y5cB*-Ir&OPmVK}pomKfZg< z_kHL0{l3RJy<30NjNQ;^`nAJ`y_yr(U}XH%H38hlsw%d_*BR~R>*`ov7uU&$XGVNo zd`sh^<$N#K74q{fL7%^&x1D>Qi}-?psvh1G8h`Zqbq2na>TgQ_6G1w8(}sdtaOfWf z!6qJ_Bz^MM}-%c(m_i)_Z;tS9PU%X;}h*cVw>$#(G^ z2IITGW3xPvM1@EW8OR;TTA4NR$g& zK}X!m(|+F70j`Tz*yC!PBZack_l*g<)h6zja&I`K{uR1DabJ!~g)1{g9#aLUP}HP~ zdNQD%pm&`TbmRT4S>L}d+MP9{c|DS@h4>kvPpW2(|0jn0eQfJp3^UdKf>ayz=YUy1 zpG@KL9O+cYwCtmq%1b*&?NWc2hI?kPwgGfP3qiC>4@T@q0T!nK zTs~{^Lp|gJe2zF1%+)VZAeR{6b>=&hKEIB(1ojehutMo*M*}60kH7+pVPW!d3k(9Y#4IFD9qt!I+v^WtKDZ zlQ4~Dxt4`i+zru;R+6V5>sl-HLJPJFghmlPp#i!f`G*y*YnVQY5=tpucIW|SE7@8u zy?QAN{WKLqFoc?lV4T^3)zN&snp_N(%#c|cm}^I?i=mep&ulQTAn1lL<){ZWJHdy} zvfyTp$y*Dk9*-cDC?=2~x!qaKJ(L7`u>^u3Ca;!2DZr+rwG?t0#%@VE%3!BjPfCgF zioP$$Q(0t2x5~kxyG)c9QH29Gul$9)Um#);5etdfWW?enBIc82JrUa`VKGX?2Sgko z!c7d-L{t$`LBv@i&YXv~4_1PGn#}AlAu2N?*MfM4 z&?7STefsr;_rFkdtGKkt3?{9IMDMzE|;wu8W~frbWSXi&i<&;ky2;pqAk^Mkg*Z9 zOGgy+zXRdGxoCF{jr#xq delta 1692 zcmZ`(TTEP46zw_;%}5Fb+V#lbjIpxv3ioambS1eH%_?E+c$0M39DJntxz-764j%%*lFpl zT>8vig@#uYW&lkvD3<*6$gV`^B*&{6YK#PDH8&U!5i}6z$hF`m`4ROz+B6+r&Sc{j z_%UOqb|sQ&J4=W~A7qf8pRd7BYq9icP8;5t#FDHiATbU)x2IA>G%Jp;Mm|eGJxN)Q^xM!Y5Q35v2=~@gZc7ZWLWjHE zJVLh}4%(Wxfp;)zr*rkmuO(m<4eYiRyV(!1sOIPLL>wgz4imb46&mPBHEc<615dMn zf?8|i1_uk-@jB^p(7>-X)*TxO>?sGn#q%b9r|CDk6;u%tF~Pf|z{@U7f|=kwrk~Aj z#^qRTl#hDq-g2fu56|Essh@7$w}Iq22)RG&<2 zRSWp8_*-<2(%yFPe6bU9ImAfV=)Fj0-V`*V!RScAAjppnn)6Gg^SZ!ptVO#KyayL! z$St!GRn)o82VS4dYCZf;RvauWzWR z*q4L-Kpva$z)xTO&Bm5;(T!|2oX_?3<>5_IsnEHwo4cxfDCS?SK8)Z&nZUgHYv8xY zE{RLaR#x{9IZ^AEtFeehYIVQ|E;^&MoXOg%%EzF0)yf4g` zA}}q?lrWzNb5Kx)SWy`UZK6&@`(0rlmEq9`M5TzV5|I@KC3{3NMnX=suhjc;Jg+46KEAH^1#y~ju(|*;a;35>La0I0HIeu+HVOj+`oeLbl0pfxsCo8cT zox2J_V*Ogf@y+D)39HUCfZ zxk=-#l{9sAc$ge>(x0^~%KzNrL=yu}_HG?MAj85Pum}eoy_>~u)*_xw-G?pd`w^v2 z@^Q(sG0vC4lzKFh3sJJhR~fHJ#srTxE@s0YHXS{kvCeC&*2YBZX1~q`__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/fr/flowchart/index.html b/fr/flowchart/index.html index 431c339be..548f59e58 100644 --- a/fr/flowchart/index.html +++ b/fr/flowchart/index.html @@ -30,7 +30,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-d555a7c5-b855-47ed-8f3e-392876c0625c] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-dd5c0cbf-b3c1-4276-9ca7-91afd4485bad] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -491,7 +491,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/fr/map-accuracy/index.html b/fr/map-accuracy/index.html
index 39090d84f..31593e31d 100644
--- a/fr/map-accuracy/index.html
+++ b/fr/map-accuracy/index.html
@@ -682,7 +682,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/fr/searchindex.js b/fr/searchindex.js index 98bbe3860..8576bbbd5 100644 --- a/fr/searchindex.js +++ b/fr/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3d-tiles": [[1, null]], "A quoi s\u2019attendre": [[110, "what-to-expect"]], "Accessing logs on the instance": [[113, "accessing-logs-on-the-instance"]], "Accessing the Logs": [[109, "accessing-the-logs"]], "Acknowledgments": [[109, "acknowledgments"]], "Adding A Polyon Feature": [[6, "adding-a-polyon-feature"]], "Adding an Orthophoto Background": [[6, "adding-an-orthophoto-background"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "After it finishes (assuming you survive that long)": [[113, "after-it-finishes-assuming-you-survive-that-long"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Appearance": [[113, "appearance"]], "Aspects affectant la pr\u00e9cision de la carte": [[110, "aspects-impacting-map-accuracy"]], "Autoscaling ClusterODM": [[109, "autoscaling-clusterodm"]], "Background": [[113, "background"]], "Bienvenue dans la documentation d\u2019OpenDroneMap": [[107, null]], "Boundary [GeoJSON] Loaded In Task Options": [[6, "boundary-geojson-loaded-in-task-options"]], "Build Singularity image from Docker image": [[113, "build-singularity-image-from-docker-image"]], "Calibrating the Camera": [[113, "calibrating-the-camera"]], "Cameras": [[113, "cameras"]], "Cleaning up after Docker": [[113, "cleaning-up-after-docker"]], "Clipping": [[113, "clipping"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Command line access to instances": [[113, "command-line-access-to-instances"]], "Commandes de base et d\u00e9pannage": [[108, "basic-commands-and-troubleshooting"]], "Comment contribuer": [[103, "how-to-contribute"]], "Completing A Polygon": [[6, "completing-a-polygon"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Conseils de vol": [[106, null]], "Creating A New Temporary Scratch Layer": [[6, "creating-a-new-temporary-scratch-layer"]], "Creating A Polygon": [[6, "creating-a-polygon"]], "Creating Digital Elevation Models": [[113, "creating-digital-elevation-models"]], "Creating High Quality Orthophotos": [[113, "creating-high-quality-orthophotos"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data Processing": [[104, "data-processing"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Demande d\u2019extraction": [[103, "pull-requests"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Directory structure": [[113, "directory-structure"]], "Distributed Split-Merge": [[109, "distributed-split-merge"]], "Downloading A Polygon": [[6, "downloading-a-polygon"]], "En cours d\u2019ex\u00e9cution sur plus d\u2019une machine": [[108, "running-on-more-than-one-machine"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Example Images": [[3, "example-images"], [6, "example-images"], [7, "example-images"], [8, "example-images"], [10, "example-images"]], "Expected accuracy": [[113, "expected-accuracy"]], "Export Temporary Scratch Layer Features": [[6, "export-temporary-scratch-layer-features"]], "Eye Dome-lighting": [[113, "eye-dome-lighting"]], "False: null": [[3, "false-null"], [6, "false-null"], [7, "false-null"], [10, "false-null"]], "Field of view": [[113, "field-of-view"]], "Fieldwork planning": [[113, "fieldwork-planning"]], "Flight height": [[113, "flight-height"]], "Flight pattern": [[113, "flight-pattern"]], "Flowchart with options": [[105, null]], "For Developers": [[104, "for-developers"]], "For Users": [[104, "for-users"]], "Fork and clone repository": [[113, "fork-and-clone-repository"]], "Forum de la communaut\u00e9": [[103, "community-forum"]], "Frequently Asked Questions": [[104, "frequently-asked-questions"]], "Frequently Asked Questions and Additional Resources": [[104, null]], "GCP Editor Pro": [[110, "id2"]], "GCP file format": [[110, "gcp-file-format"]], "GCPs": [[113, "gcps"]], "GeoJSON.io": [[6, "geojson-io"]], "Getting Started with Distributed Split-Merge": [[109, "getting-started-with-distributed-split-merge"]], "Ground Control Points": [[110, "ground-control-points"]], "High Precision Workflows": [[110, null]], "How To Request Features": [[103, "how-to-request-features"]], "How to Contribute and Request Features": [[103, null]], "How would one create Boundary [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative 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same level as the ``time-sift-block`` directory. These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/id/flowchart/index.html b/id/flowchart/index.html index ef11ba2a3..99b99d5cc 100644 --- a/id/flowchart/index.html +++ b/id/flowchart/index.html @@ -30,7 +30,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-4110da54-ae57-4c07-90d0-f798635daae1] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-40e53a49-14b3-483d-b659-454c68af78f5] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -491,7 +491,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/id/map-accuracy/index.html b/id/map-accuracy/index.html
index 669f79462..d3fcc0b4b 100644
--- a/id/map-accuracy/index.html
+++ b/id/map-accuracy/index.html
@@ -682,7 +682,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. 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"type": [6, 24, 34, 88], "ubuntu": 108, "ucapan": 109, "unduh": 108, "unseen": 87, "untuk": 113, "up": 113, "us": [3, 6, 7, 8, 10, 95, 96, 97, 98, 113], "usag": 110, "user": [104, 110], "vector": 6, "verbos": 99, "version": 100, "vertic": 6, "video": [101, 102], "view": 113, "viewer": 113, "virtualisasi": 108, "volum": 113, "webodm": [108, 113], "what": [3, 6, 7, 8, 10, 110], "when": [3, 6, 7, 8, 10], "why": [3, 6, 7, 8, 10], "window": [82, 108], "workflow": [110, 111], "would": [3, 6, 7, 8, 10], "your": 110}}) \ No newline at end of file diff --git a/map-accuracy/index.html b/map-accuracy/index.html index ddd5ef3ad..aa95f44a3 100644 --- a/map-accuracy/index.html +++ b/map-accuracy/index.html @@ -681,7 +681,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/searchindex.js b/searchindex.js index ba0ca017a..803db492f 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3D Textured Model": [[112, "d-textured-model"]], "3d-tiles": [[1, null]], "Accessing logs on the instance": [[113, "accessing-logs-on-the-instance"]], "Accessing the Logs": [[109, "accessing-the-logs"]], "Acknowledgments": [[109, "acknowledgments"]], "Adding A Polyon Feature": [[6, "adding-a-polyon-feature"]], "Adding an Orthophoto Background": [[6, "adding-an-orthophoto-background"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "After it finishes (assuming you survive that long)": [[113, "after-it-finishes-assuming-you-survive-that-long"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Appearance": [[113, "appearance"]], "Aspects impacting map accuracy": [[110, 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[[113, "install-and-use-changes"]], "Install on Arch": [[108, "install-on-arch"]], "Install on CentOS / RHEL": [[108, "install-on-centos-rhel"]], "Install on Fedora": [[108, "install-on-fedora"]], "Install on Ubuntu / Debian": [[108, "install-on-ubuntu-debian"]], "Installation": [[108, "installation"]], "Installation and Getting Started": [[108, null]], "Large Datasets": [[109, null]], "Licensing": [[104, "licensing"]], "Limitations": [[109, "limitations"]], "Linux": [[108, "linux"]], "List of all outputs": [[112, "list-of-all-outputs"]], "Listing Docker Machines": [[113, "listing-docker-machines"]], "Local Split-Merge": [[109, "local-split-merge"]], "Logs": [[112, "logs"]], "Map accuracy": [[110, "map-accuracy"]], "Measurement": [[113, "measurement"]], "Measuring": [[113, "measuring"]], "Measuring stockpile volume": [[113, "measuring-stockpile-volume"]], "Memory issues": [[104, "memory-issues"]], "Minimum RAM needed for N images": [[108, "id4"]], "Modify code": [[113, "modify-code"]], 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Launch WebODM": [[108, "step-4-launch-webodm"]], "Steps": [[113, "steps"]], "Supported Sensors": [[111, "supported-sensors"]], "Template For Submitting Bug Reports": [[103, "template-for-submitting-bug-reports"]], "Textured model": [[113, "textured-model"]], "Thermal Support": [[111, "thermal-support"]], "Toggle Editing Off": [[6, "toggle-editing-off"]], "Tools": [[113, "tools"]], "True: --auto-boundary": [[3, "true-auto-boundary"]], "True: --boundary [GeoJSON] - 3D Model/Textured Mesh": [[6, "true-boundary-geojson-3d-model-textured-mesh"]], "True: --boundary [GeoJSON] - Digital Elevation Model": [[6, "true-boundary-geojson-digital-elevation-model"]], "True: --boundary [GeoJSON] - Orthophoto": [[6, "true-boundary-geojson-orthophoto"]], "True: --boundary [GeoJSON] - Point Cloud": [[6, "true-boundary-geojson-point-cloud"]], "True: --build-overviews": [[7, "true-build-overviews"]], "True: --cog": [[10, "true-cog"]], "Tutorials": [[113, null]], "Understanding the Cluster": [[109, 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g)EcF*yb^%&@)7K3BJU@%%G;hgrTS(*9e`c`0&tTN!~g&Q diff --git a/sw/_sources/map-accuracy.rst.txt b/sw/_sources/map-accuracy.rst.txt index 72b69c1dd..2201bd13f 100644 --- a/sw/_sources/map-accuracy.rst.txt +++ b/sw/_sources/map-accuracy.rst.txt @@ -313,7 +313,11 @@ It should make the Time-SIFT processing on the downloaded example data, stopping In the destination dir, you should obtain new directories, ``0_before`` and ``1_after`` at the same level as the ``time-sift-block`` directory. These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/sw/flowchart/index.html b/sw/flowchart/index.html index a76ebd269..aeb6ff8a1 100644 --- a/sw/flowchart/index.html +++ b/sw/flowchart/index.html @@ -29,7 +29,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-e7c455c9-5a3c-4225-a3f6-d7342163e1dc] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-6b153c43-6973-4797-9d86-255b7fe6d326] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -490,7 +490,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/sw/map-accuracy/index.html b/sw/map-accuracy/index.html
index 94ade7b74..569d52b38 100644
--- a/sw/map-accuracy/index.html
+++ b/sw/map-accuracy/index.html
@@ -681,7 +681,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. This directory name is fixed as it is the one expected by ODM * diff --git a/sw/searchindex.js b/sw/searchindex.js index 8289bc0ba..01b0e37e3 100644 --- a/sw/searchindex.js +++ b/sw/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3D Textured Model": [[112, "d-textured-model"]], "3d-tiles": [[1, null]], "Adding A Polyon Feature": [[6, "adding-a-polyon-feature"]], "Adding an Orthophoto Background": [[6, "adding-an-orthophoto-background"]], "Additional References": [[104, "additional-references"]], "Advanced": [[113, "advanced"]], "Aligning Large Datasets": [[110, "aligning-large-datasets"]], "Appearance": [[113, "appearance"]], "Aspects impacting map accuracy": [[110, "aspects-impacting-map-accuracy"]], "Baada kumaliza (kisia utachukua mda mkubwa)": [[113, "after-it-finishes-assuming-you-survive-that-long"]], "Background": [[113, "background"]], "Boundary [GeoJSON] Loaded In Task Options": [[6, "boundary-geojson-loaded-in-task-options"]], "Build Singularity image from Docker image": [[113, "build-singularity-image-from-docker-image"]], "Camand za msingi na utatuzi shida": [[108, "basic-commands-and-troubleshooting"]], "Cameras": [[113, "cameras"]], "Chagizi na Bendera": [[0, null]], "Clipping": [[113, "clipping"]], "ClusterODM, NodeODM, SLURM, with Singularity on HPC": [[113, "clusterodm-nodeodm-slurm-with-singularity-on-hpc"]], "Completing A Polygon": [[6, "completing-a-polygon"]], "Connect to NodeODM instance": [[113, "connect-to-nodeodm-instance"]], "Creating A New Temporary Scratch Layer": [[6, "creating-a-new-temporary-scratch-layer"]], "Creating A Polygon": [[6, "creating-a-polygon"]], "Creating Orthophotos from Multispectral Data": [[111, "creating-orthophotos-from-multispectral-data"]], "DTM/DSM": [[112, "dtm-dsm"]], "Data Processing": [[104, "data-processing"]], "Data collection effort, 2D and 2.5D products": [[106, "data-collection-effort-2d-and-2-5d-products"], [109, "data-collection-effort-2d-and-2-5d-products"]], "Data collection effort, full 3D": [[106, "data-collection-effort-full-3d"], [109, "data-collection-effort-full-3d"]], "Development and testing of ODM": [[113, "development-and-testing-of-odm"]], "Downloading A Polygon": [[6, "downloading-a-polygon"]], "Estimating data collection effort": [[109, "estimating-data-collection-effort"]], "Example Images": [[3, "example-images"], [6, "example-images"], [7, "example-images"], [8, "example-images"], [10, "example-images"]], "Expected accuracy": [[113, "expected-accuracy"]], "Export Temporary Scratch Layer Features": [[6, "export-temporary-scratch-layer-features"]], "Eye Dome-lighting": [[113, "eye-dome-lighting"]], "False: null": [[3, "false-null"], [6, "false-null"], [7, "false-null"], [10, "false-null"]], "Field of view": [[113, "field-of-view"]], "Fieldwork planning": [[113, "fieldwork-planning"]], "Flight height": [[113, "flight-height"]], "Flight pattern": [[113, "flight-pattern"]], "Flowchart with options": [[105, null]], "For Developers": [[104, "for-developers"]], "For Users": [[104, "for-users"]], "Fork and clone repository": [[113, "fork-and-clone-repository"]], "Frequently Asked Questions": [[104, "frequently-asked-questions"]], "Frequently Asked Questions and Additional Resources": [[104, null]], "GCP Editor Pro": [[110, "id2"]], "GCP file format": [[110, "gcp-file-format"]], "GCPs": [[113, "gcps"]], "GeoJSON.io": [[6, "geojson-io"]], "Ground Control Points": [[110, "ground-control-points"]], "Habari, WebODM!": [[108, "hello-webodm"]], "Hardware": [[111, "hardware"]], "Hatua 1. Mahitaji ya kuingiza": [[108, "step-1-install-requirements"]], "High Precision Workflows": [[110, null]], "How To Request Features": [[103, "how-to-request-features"]], "How to Contribute and Request Features": [[103, null]], "How would one create Boundary [GeoJSON]?": [[6, "how-would-one-create-boundary-geojson"]], "Image Geolocation Files": [[110, "image-geolocation-files"]], "Improving relative accuracy": [[110, "improving-relative-accuracy"]], "Ingiza ndani ya Arch": [[108, "install-on-arch"]], "Ingiza ndani ya CentOS / RHEL": [[108, "install-on-centos-rhel"]], "Ingiza ndani ya Fedora": [[108, "install-on-fedora"]], "Ingiza ndani ya Ubuntu / Debian": [[108, "install-on-ubuntu-debian"]], "Install and use changes": [[113, "install-and-use-changes"]], "Jia ya 1. Angalia msaada wa uvumbuzi": [[108, "step-1-check-virtualization-support"], [108, "id1"]], "Jinsi ya kushiriki": [[103, "how-to-contribute"]], "Jukwaa la kijamii": [[103, "community-forum"]], "Karibu OpenDroneMap Kitabu": [[107, null]], "Kidokeza cha kurusha ndege nyuki": [[106, null]], "Kigezo kwa kuwasilisha maelezo ya bug": [[103, "template-for-submitting-bug-reports"]], "Kuandaa data na project": [[113, "prep-data-and-project"]], "Kubadilisha droplet, kuvuta pini, pekua": [[113, "resize-droplet-pull-pin-run-away"]], "Kuendesha mashine zaidi ya moja": [[108, "running-on-more-than-one-machine"]], "Kufahamu Cluster": [[109, "understanding-the-cluster"]], "Kugawanya Split-Merge": [[109, "distributed-split-merge"]], "Kuingiza": [[113, "install"]], "Kuingiza na kuanza kutumia": [[108, null]], "Kuongeza kiotomatiki ClusterODM": [[109, "autoscaling-clusterodm"]], "Kupata kuanza pamoja na kugawanya Split-Merge": [[109, "getting-started-with-distributed-split-merge"]], "Kurekebisha Camera": [[113, "calibrating-the-camera"]], "Kutengeneza Digital Elevation Model": [[113, "creating-digital-elevation-models"]], "Kutumia Docker": [[113, "using-docker"]], "Kutumia Docker mashine": [[113, "listing-docker-machines"]], "Kutumia Logs": [[109, "accessing-the-logs"]], "Kuwasilisha Bugs": [[103, "reporting-bugs"]], "Large Datasets": [[109, null]], "Licensing": [[104, "licensing"]], "Linux": [[108, "linux"]], "Logs": [[112, "logs"]], "Map accuracy": [[110, "map-accuracy"]], "Matumizi": [[111, "usage"]], "Matumizy ya camand line kwa mifano": [[113, "command-line-access-to-instances"]], "Measurement": [[113, "measurement"]], "Measuring": [[113, "measuring"]], "Measuring stockpile volume": [[113, "measuring-stockpile-volume"]], "Memory issues": [[104, "memory-issues"]], "Minimum RAM needed for N images": [[108, "id4"]], "Mipaka": [[109, "limitations"]], "Modify code": [[113, "modify-code"]], "Mpangilo wa matokeo yote": [[112, "list-of-all-outputs"]], "Msaada wa Multispectral": [[111, "multispectral-support"]], "Multi-temporal Datasets": [[110, "multi-temporal-datasets"]], "Multispectral and Thermal": [[111, null]], "Muundo wa Anuani": [[113, "directory-structure"]], "Navigation": [[113, "navigation"]], "New GeoJSON": [[6, "new-geojson"]], "New Temporary Scratch Layer Geometry Type": [[6, "new-temporary-scratch-layer-geometry-type"]], "New Temporary Scratch Layer Settings": [[6, "new-temporary-scratch-layer-settings"]], "Nini hiki na kwa nani": [[113, "what-is-this-and-who-is-it-for"]], "Njia": [[113, "steps"]], "Njia ya 2. 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These new directories contain all the results natively co-registered. -You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. |image1| +You can then use `CloudCompare `__ to compute distance between the ``datasets/0_before/odm_filterpoints/point_cloud.ply`` and the ``datasets/1_after/odm_filterpoints point_cloud.ply`` and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp + :alt: Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement). + :align: center + Your own data ~~~~~~~~~~~~~ diff --git a/te/flowchart/index.html b/te/flowchart/index.html index ae1d44558..e194b1109 100644 --- a/te/flowchart/index.html +++ b/te/flowchart/index.html @@ -30,7 +30,7 @@ const load = async () => { const mermaids_to_add_zoom = 1 === -1 ? all_mermaids.length : 1; const mermaids_processed = document.querySelectorAll(".mermaid[data-processed='true']"); if(mermaids_to_add_zoom > 0) { - var svgs = d3.selectAll(".mermaid[data-zoom-id=id-084b5665-e626-4331-9ab0-e7c665cf4d4b] svg"); + var svgs = d3.selectAll(".mermaid[data-zoom-id=id-ad881c84-468e-4031-aa84-7a4e7589c66a] svg"); if(all_mermaids.length !== mermaids_processed.length) { // try again in a sec, wait for mermaids to load setTimeout(load, 200); @@ -491,7 +491,7 @@ window.addEventListener("load", load);

Flowchart with options

-
+
          flowchart  TB
 
 
diff --git a/te/map-accuracy/index.html b/te/map-accuracy/index.html
index 6540b1621..476e4ba93 100644
--- a/te/map-accuracy/index.html
+++ b/te/map-accuracy/index.html
@@ -682,7 +682,18 @@ to get example data.

It should make the Time-SIFT processing on the downloaded example data, stopping after the filtered dense clouds step.

In the destination dir, you should obtain new directories, 0_before and 1_after at the same level as the time-sift-block directory. These new directories contain all the results natively co-registered.

-

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. image1

+

You can then use CloudCompare to compute distance between the datasets/0_before/odm_filterpoints/point_cloud.ply and the datasets/1_after/odm_filterpoints point_cloud.ply and obtain this image showing the difference between the two 3D surfaces. Here, two soil samples were excavated as can be seen on the image below. +.. figure:: images/timeSIFTexampleSoilExcavation.webp

+
+
+
alt:
+

Distance between two point clouds showing soil surface before and after soil excavation (soil sampling for bulk density measurement).

+
+
align:
+

center

+
+
+
Your own data

In your dataset directory (usually datasets, but you can have chosen another name) you have to prepare a Time-SIFT project directory (default name : time-sift-block, can be tuned via a parameter) that contains : * images/ : a subdirectory with all images of all epochs. 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