# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2020, OpenDroneMap
# This file is distributed under the same license as the OpenDroneMap package.
# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
# 
# Translators:
# danbjoseph <danbjoseph@gmail.com>, 2020
# Khadija Abdulla <khastylez@gmail.com>, 2020
# 
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: OpenDroneMap 2.0.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-12-15 09:17-0500\n"
"PO-Revision-Date: 2020-07-21 21:10+0000\n"
"Last-Translator: Khadija Abdulla <khastylez@gmail.com>, 2020\n"
"Language-Team: Swahili (https://www.transifex.com/americanredcross/teams/111882/sw/)\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Language: sw\n"
"Plural-Forms: nplurals=2; plural=(n != 1);\n"

#: ../../../large.rst:4 5ea5942cc4604baea3dc66a4ee841282
msgid "Splitting Large Datasets"
msgstr "Kugawa Database Kubwa"

#: ../../../large.rst:6 09b5af17439740d2b8a18993e6709da6
msgid ""
"Starting with ODM version ``0.6.0`` you can split up very large datasets "
"into manageable chunks (called submodels), running the pipeline on each "
"chunk, and then producing merged DEMs, orthophotos and point clouds. The "
"process is referred to as \"split-merge\"."
msgstr ""
"Anza na toleo la ODM ``0.6.0`` unaweza kugawa group kubwa la data linaloweza"
" kudhibitiwa (liitwalo submodels), kutumia pipeline katika kila kundi, na "
"kisha zalisha DEM itakayounganisha, orthophoto na pointcloud. Mchakato "
"utawekwa kama \"split-merge.\""

#: ../../../large.rst:8 0c58eb496d8d456ca011011549f430a8
msgid ""
"Why might you use the split-merge pipeline? If you have a very large number "
"of images in your dataset, split-merge will help make the processing more "
"manageable on a large machine (it will require less memory). If you have "
"many machines all connected to the same network you can also process the "
"submodels in parallel, thus allowing for horizontal scaling and processing "
"thousands of images more quickly."
msgstr ""
"Kwa nini unaweza kutumia split-merge pipeline? Ikiwa una idadi ya picha "
"nyingi kwenye dataseti yako, split-merge itasaidia mchakato kuongozwa vizuri"
" katika mashine kubwa (itahitaji nafasi ndogo). Ikiwa una mashine nyingi "
"zilizounganishwa katika mtandao mmoja pia unaweza kuchakata submodel kwa "
"pamoja, ndivyo itakavyoruhu kuongeza mstari mlalo na kuchakata maelfu ya "
"picha kwa urahisi zaidi."

#: ../../../large.rst:10 d3a6bf47796e4775bfb53066d0d51dce
msgid ""
"Split-merge works in WebODM out of the box as long as the processing nodes "
"support split-merge, by enabling the ``--split`` option when creating a new "
"task."
msgstr ""
"Split-merge inafanya kazi ndani ya ODM nje ya boxi ikiwa node zinasaidia "
"split-merge, kwa kuruhusu chaguo la ``--split`` unapotengeneza njia mpya."

#: ../../../large.rst:13 7c1cb609f5c74801ba89894fb5974978
msgid "Calibrate images"
msgstr "Kurekebisha Picha"

#: ../../../large.rst:15 a5852d851b3c4557a860c07a9a876368
msgid ""
"Image calibration is recommended (but not required) for large datasets "
"because error propagation due to image distortion could cause a bowl effect "
"on the models. Calibration instructions can be found at      `Calibrate "
"Images <tutorials.html#calibrating-the-camera>`_."
msgstr ""
"Kurekebisha picha ni kupendekeza (lakini sio lazima) kwa dataset nyingi, kwa"
" sababu upatikanaji wa makosa wakati wa kuvuruga picha kunaweza kusababisha "
"kubonyea katika muundo. Maelezo ya muinuko yanapatika kwenye `Calibrate "
"Images <tutorials.html#calibrating-the-camera>`_."

#: ../../../large.rst:21 bb110a174c5f40ec9d3517e5eabbd887
msgid ""
"Bowling effect on point cloud over 13,000+ image dataset collected by World "
"Bank Tanzania over the flood prone Msimbasi Basin, Dar es Salaam, Tanzania."
msgstr ""
"Madhara ya kubonyea picha juu ya point cloudi kwa kundi kubwa la picha zaidi"
" ya 13,000+ zilizokusanywa na World Bank Tanzania katika maeneo ya mafuriko "
"Msimbasi Basin, Dar es Salaam, Tanzania."

#: ../../../large.rst:24 0967d468c7144fc5bd2132400d045215
msgid "Local Split-Merge"
msgstr "Split-Merge ya Ndani"

#: ../../../large.rst:26 2e2ad9be96fa496bb5ab7db7b677f5df
msgid ""
"Splitting a dataset into more manageable submodels and sequentially "
"processing all submodels on the same machine is easy! Just use ``--split`` "
"and ``--split-overlap`` to decide the the average number of images per "
"submodels and the overlap (in meters) between submodels respectively"
msgstr ""
"Mgawio wa kundi data katika submodel, urahisi na katika kuchakata wepesi "
"zaidi ndani ya mashine moja kwa wepesi! Tumia ``--split`` na ``--split-"
"overlap`` kuchagua nambari ya picha inayotakiwa kwa kila submodel na "
"mpishano (katika meters) baina ya submodel mfululizo"

#: ../../../large.rst:32 0aeee1b4863b45729bc6cbf63b6b1d84
msgid ""
"If you already know how you want to split the dataset, you can provide that "
"information and it will be used instead of the clustering algorithm."
msgstr ""
"Ikiwa unajua vipi unaweza kugawa dataseti, unaweza kutoa maelezo na "
"itatumiaka badala ya cluster algorithim."

#: ../../../large.rst:34 175b97d3d6a44086be4f0cdabfb6fe95
msgid ""
"The grouping can be provided by adding a file named image_groups.txt in the "
"main dataset folder. The file should have one line per image. Each line "
"should have two words: first the name of the image and second the name of "
"the group it belongs to. For example::"
msgstr ""
"Kundi linaweza kupatika kwa kuengeza faili linaloitwa image_groups.txt "
"katika folder kuu la dataseti. Faili lazima liwe na mstari mmoja kwa kila "
"picha. Kila mstari lazima uwe na maneno mawili: La kwanza ni jina la picha "
"na pili ni jina la kundi la picha. Kwa Mfano::"

#: ../../../large.rst:42 20c59dc7a68941e89e8369bd6026f2ff
msgid ""
"will create 3 submodels. Make sure to pass ``--split-overlap 0`` if you "
"manually provide a ``image_groups.txt`` file."
msgstr ""
"utatengeza submodel 3. Hakikisha unapitisha ``--split-overlap 0`` ikiwa "
"unatengeneza mwenyewe ``image_groups.txt`` faili."

#: ../../../large.rst:46 f821d7b1316a4f81830050135f38ec62
msgid "Distributed Split-Merge"
msgstr "Kugawanya Split-Merge"

#: ../../../large.rst:48 f170f960ba414793b7f657bb74d70937
msgid ""
"ODM can also automatically distribute the processing of each submodel to "
"multiple machines via `NodeODM <https://github.com/OpenDroneMap/NodeODM>`_ "
"nodes, orchestrated via `ClusterODM "
"<https://github.com/OpenDroneMap/ClusterODM>`_."
msgstr ""
"ODM pia inaweza kugawanya wenyewe mchakato wa kila submodel kwa mashine "
"tofauti kupitia `NodeODM <https://github.com/OpenDroneMap/NodeODM>`_ nodes, "
"orchestrated via `ClusterODM <https://github.com/OpenDroneMap/ClusterODM>`_."

#: ../../../large.rst:55 09a33b36dab54c42a8ce360deacaf649
msgid "Getting Started with Distributed Split-Merge"
msgstr "Kupata kuanza pamoja na kugawanya Split-Merge"

#: ../../../large.rst:57 af83a83165d8401396aab49b8744a62b
msgid "The first step is start ClusterODM"
msgstr "Njia ya mwanzo ni kustart ClusterODM"

#: ../../../large.rst:63 6d4217467bf544e9a7ad1ac56e9f9973
msgid ""
"Then on each machine you want to use for processing, launch a NodeODM "
"instance via"
msgstr ""
"Kisha kwa kila mashine ambayo unataka kutumia kwa mchakato, zindua NodeODM "
"instance kutumia"

#: ../../../large.rst:69 f7f5d656ce9f46d89eaa1769c27ba6e5
msgid ""
"Connect via telnet to ClusterODM and add the IP addresses/port of the "
"machines running NodeODM"
msgstr ""
"Connect kupitia telnet hadi ClusterODM na ongeza IP addresses/port katika "
"mashine inayotumia NodeODM"

#: ../../../large.rst:84 b6440814204a44fd9b9cbde1ff322cc3
msgid ""
"Make sure you are running version ``1.5.1`` or higher of the NodeODM API."
msgstr ""
"Make sure you are running toleo ``1.5.1`` or higher of the NodeODM API."

#: ../../../large.rst:86 42d5b57f70b54515892481ba4875365b
msgid ""
"At this point, simply use the ``--sm-cluster`` option to enable distributed "
"split-merge"
msgstr ""
"Ukifikia hapo, ni rahisi kutumia njia ya  ``--sm-cluster`` kuruhusu "
"kugawanya split-merge"

#: ../../../large.rst:93 1ff052ee47864108abd13c2ca2b6eeef
msgid "Understanding the Cluster"
msgstr "Kufahamu Cluster"

#: ../../../large.rst:95 18e376a78edf468088b5efbd939c0bbf
msgid ""
"When connected via telnet, it is possible to interrogate what is happening "
"on the cluster. For example, we can use the command HELP to find out "
"available commands"
msgstr ""
"Ukiunganisha kupitia telnet, ni rahisi kufahamu nini kinaendelea ndani ya "
"cluster. Kwa Mfano, tunaweza kutumia camand HELP kutafuta camand "
"zinazopatika"

#: ../../../large.rst:118 1494dbd111a64a7e9075a9c20a0c12d9
msgid ""
"If, for example, the NodeODM instance wasn't active when ClusterODM started,"
" we might list nodes and see something as follows"
msgstr ""
"Ikiwa, kwa mfano, NodeODM instance haifanyi kazi wakati ClusterODM "
"ikiwashwa, tunaweza kuorodhesha node na tukaangalia kama ifuatavyo"

#: ../../../large.rst:125 20e68e67542e4049b232b7635d88760b
msgid ""
"To address this, we can start up our local node (if not already started), "
"and then perform a ``NODE UPDATE``"
msgstr ""
"Kulitambua hili, tunaweza kuanza na kuwasha node ya ndani (ikiwa "
"haikuwashwa), na kisha tumia ``NODE UPDATE``"

#: ../../../large.rst:135 33eecf83e3124b59a7d0c13af09e04a2
msgid "Accessing the Logs"
msgstr "Kutumia Logs"

#: ../../../large.rst:137 def6c238d7864b5382c8a0c925a3c6e3
msgid ""
"While a process is running, it is also possible to list the tasks, and view "
"the task output"
msgstr ""
"Wakati mchakato unaendelea, pia ni rahisi kuorodhesha kazi, na muonekano wa "
"matokeo ya kazi"

#: ../../../large.rst:145 2a15305d8ba94ce0bdb2d07174a39b0f
msgid "Autoscaling ClusterODM"
msgstr "Kuongeza kiotomatiki ClusterODM"

#: ../../../large.rst:147 9ec4019144e94b0eb0ab5f4325320568
msgid ""
"ClusterODM also includes the option to autoscale on multiple platforms, "
"including, to date, Amazon and Digital Ocean. This allows users to reduce "
"costs associated with always-on instances as well as being able to scale "
"processing based on demand."
msgstr ""
"ClusterODM pia inakusanya njia za kujipima wenyewe platform tofauti, "
"ikiwemo, to date, Amazon na digital Ocean. Hii inawezesha watumiaji "
"kupunguza gharama zitokanazo na always-on instance vile vile kuweza kupima "
"mchakano kutokana na mahitaji."

#: ../../../large.rst:149 62b6f826c2c643e0901155b8e13ae32b
msgid "To setup autoscaling you must:"
msgstr "Kupanga autoscaling lazima:"

#: ../../../large.rst:151 1f57a583ee064aadaa3feee9c394eafc
msgid ""
"Have a functioning version of NodeJS installed and then install ClusterODM"
msgstr ""
"Uwe na toleo linalofanya kazi NodeJS limeingizwa na kisha na ingiza "
"ClusterODM"

#: ../../../large.rst:159 717a4e330335494bb0df832234fa0032
msgid "Make sure docker-machine is installed."
msgstr "Hakikisha docker-machine imeingizwa."

#: ../../../large.rst:160 199f29aa6b7f4f409bb92e6c3cb5bf16
msgid "Setup a S3-compatible bucket for storing results."
msgstr "Panga S3-compatible bucket kwa kuhifadhia."

#: ../../../large.rst:161 6326931fadb04511aeefe580135ad3a2
msgid ""
"Create a configuration file for `DigitalOcean "
"<https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/digitalocean.md>`_"
" or `Amazon Web Services "
"<https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/aws.md>`_."
msgstr ""
"Tengeneza configuration faili kwa `DigitalOcean "
"<https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/digitalocean.md>`_"
" au `Amazon Web Services "
"<https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/aws.md>`_."

#: ../../../large.rst:163 24f1bc1a5a1045b5a066cb88d855dac6
msgid "You can then launch ClusterODM with"
msgstr "Kisha unaweza kuwasha ClusterODM pamoja"

#: ../../../large.rst:169 cfd356de2d654bf891a32218437a3674
msgid "You should see something similar to following messages in the console"
msgstr "Utaona kitu kinachofanana kwa ujumbe ufuatao ndani ya console"

#: ../../../large.rst:177 e70048dcf8f24f71bc79a7051c51a05f
msgid ""
"You should always have at least one static NodeODM node attached to "
"ClusterODM, even if you plan to use the autoscaler for all processing. If "
"you setup auto scaling, you can't have zero nodes and rely 100% on the "
"autoscaler. You need to attach a NodeODM node to act as the \"reference "
"node\" otherwise ClusterODM will not know how to handle certain requests "
"(for the forwarding the UI, for validating options prior to spinning up an "
"instance, etc.). For this purpose, you should add a \"dummy\" NodeODM node "
"and lock it"
msgstr ""
"kawaida unaweza kuwa na angalau static NodeODM node moja iliyoungana na "
"ClusterODM, hata kama umepanga kutumia autoscaler kwa michakato yote. Ikiwa "
"umepanga auto scaling, huwezi kuwa na zero node na inategemea 100% ya "
"autoscaler. Unahitaji kuambatanisha NodeODM kuwa kama \"reference node\" au "
"vyenginevyo ClusterODM haitajua jinsi ya kushuhulikia baadhi ya maombi (kwa "
"kupeleka UI, kwa kuruhusu njia za mwanzo kuzunguruka instance, etc.). Kwa "
"malengo haya utaweka \"dummy\" NodeODM node na kuifunga"

#: ../../../large.rst:187 534c507b01064a47810c210e1bb41569
msgid "This way all tasks will be automatically forwarded to the autoscaler."
msgstr "Njia hii hii kazi zote zinapelekwa wenyewe kwa autoscaler."

#: ../../../large.rst:190 69765d62d9bb44979d730a3aee0908c7
msgid "Limitations"
msgstr "Mipaka"

#: ../../../large.rst:192 bf357933f5f442d2837b2682b0ad9bb2
msgid ""
"The 3D textured meshes are currently not being merged as part of the "
"workflow (only point clouds, DEMs and orthophotos are)."
msgstr ""
"Mfumo wa 3D meshes kwa sasa haijaunganishwa kama sehemu ya mpangilio kazi "
"(Ni point cloud pekee, DEM na orthophoto)."

#: ../../../large.rst:194 8e1fa32d457445b489bc403442ae7fd5
msgid ""
"GCPs are fully supported, however, there needs to be at least 3 GCP points "
"on each submodel for the georeferencing to take place. If a submodel has "
"fewer than 3 GCPs, a combination of the remaining GCPs + EXIF data will be "
"used instead (which is going to be less accurate). We recommend using the "
"``image_groups.txt`` file to accurately control the submodel split when "
"using GCPs."
msgstr ""
"GCPs inasaidiwa kikamilifu, lakini kuna mahitaji angalau point 3 za GCP kwa "
"kila submodel kwa georeferencing kuchukua nafasi. Ikiwa submodel ina unafuu "
"kuliko GCP 3, muungano wa GCP zilobakia + EXIF data zitatumika badala yake "
"(ambayo itakua na usahihi mdogo). Tunapendekeza kutumia ``image_groups.txt``"
" faili kupelekea udhibiti sahihi wa mgawanyo wa submodel ukitumia GCP."

#: ../../../large.rst:197 1597b856001e4334a4df3555c8416ee1
msgid "Acknowledgments"
msgstr "Tunakiri"

#: ../../../large.rst:198 ec973929d9d947be90f0859358cc398c
msgid ""
"Huge props to Pau and the folks at Mapillary for their amazing contributions"
" to OpenDroneMap through their OpenSfM code, which is a key component of the"
" split-merge pipeline. We look forward to further pushing the limits of "
"OpenDroneMap and seeing how big a dataset we can process."
msgstr ""
"Sifa kubwa kwa Pau na folks kwa Mapillary kushiriki kwema kwa OpenDroneMap "
"kupitia OpenSfM code, ambacho ni kijenzi cha msingi kwa split-merge "
"pipeline. Tunaangalia mbele kwa kusukuma zaidi upeo wa OpenDroneMap na "
"kuangalia vipi dataset kubwa zinaweza kuchakatwa."

#: ../../../large.rst:201 4c8774a03a9b4048ad759092049aad71
msgid ""
"`Learn to edit <https://github.com/opendronemap/docs#how-to-make-your-first-"
"contribution>`_ and help improve `this page "
"<https://github.com/OpenDroneMap/docs/blob/publish/source/large.rst>`_!"
msgstr ""
