# 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:
# Ma. Carmina Filamor-Badajos <mina.filamor@yahoo.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: Ma. Carmina Filamor-Badajos <mina.filamor@yahoo.com>, 2020\n"
"Language-Team: Filipino (https://www.transifex.com/americanredcross/teams/111882/fil/)\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Language: fil\n"
"Plural-Forms: nplurals=2; plural=(n == 1 || n==2 || n==3) || (n % 10 != 4 || n % 10 != 6 || n % 10 != 9);\n"

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

#: ../../../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 ""
"sa ODM bersiyon ``0.6.0``, maaaring hatiin ang malalaking datasets sa mas "
"maliliit na grupo na tinatawag na submodels"

#: ../../../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 ""
"Bakit gagamitin ang split-merge pipeline? Kung may napakalaking bilang ng "
"imahe sa dataset, split-merge ang makaktulong sa pagpaparocess na maging mas"
" maayos sa malaking machine (mangangailangan ito ng mas maliit na memory). "
"Kung maraming machine ang nakakonekta sa iisang network, pwede i-proseso ang"
" submodels ng parallel, papayagan nito ang horizontal scaling at pagproseso "
"ng libong imahe ng mabilis."

#: ../../../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 ""
"Ang split-merge ay gumagana sa WebODM sa labas ng box basta ang process "
"nodes ay sumosoporta sa slit-merge, sa pagenable ng ``--split`` option kapag"
" gumagawa ng bagong task."

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

#: ../../../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 ""
"Ang image calibration ay rekomendado (pero hindi required) para sa large "
"datasets dahil ang error propagation dahilan ng image distortion ay maaaring"
" magsanhi ng bowl effect sa mga models. Ang image calibration instruction ay"
" makikita sa `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 ""
"Bowling effect sa point cloud over 13,000+ na image dataset na nakolekta ng "
"World Bank Tanzania sa flood prone Msimbasi Basin, Dar es Salaam, Tanzania."

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

#: ../../../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 ""
"Ang pagsplit ng dataset sa mas maayos na submodels at sunod-sunod na "
"pagproseso n lahat ng submodels sa iisang machine ay madali lamang! Gamitin "
"lang ang ``--split`` at ``--split-overlap`` para mapagdesisyunan ang "
"karaniwan na bilang ng mga imahe kada submodel at i-overlap (sa metro) sa "
"pagitan ng submodels ayon sa pagkakabanggit."

#: ../../../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 ""
"Kung alam mo na kung papaano mo gusto hatiin ang dataset, maaaring maglaan "
"ng impormasyon at ito ay magagamit sa halip na clustering algorithm."

#: ../../../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 ""
"Ang pagpapangkat ay maibibigay sa pamamagitan ng pagdagdag ng file name na "
"image_groups.txt sa main dataset folder. Ang file ay dapat maglaman ng isang"
" linya kada imahe. Ang kada linya ay dapat may dalawang salita: una, ang "
"pangalan ng imahe at pangalawa, ang pangalan ng pangkat ng nakakasakop dito."
" Halimbawa::"

#: ../../../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 ""
"gagawa ng 3 submodels. Siguraduhin na daanan ang ``--split-overlap 0`` kung "
"mano-mano na magbibigay ng ``image_groups.txt`` file."

#: ../../../large.rst:46 f821d7b1316a4f81830050135f38ec62
msgid "Distributed Split-Merge"
msgstr "Distributed 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 ""
"Ang ODM ay awtomatikong namamahagi ng proseso kada submodel sa maramihan na "
"machines sa pamamagitan ng `NodeODM "
"<https://github.com/OpenDroneMap/NodeODM>`_ nodes, na inayos sa pamamagitan "
"ng `ClusterODM <https://github.com/OpenDroneMap/ClusterODM>`_."

#: ../../../large.rst:55 09a33b36dab54c42a8ce360deacaf649
msgid "Getting Started with Distributed Split-Merge"
msgstr "Paano simulan ang Distributed Split-Merge"

#: ../../../large.rst:57 af83a83165d8401396aab49b8744a62b
msgid "The first step is start ClusterODM"
msgstr "Ang unang hakbang ay ang simulan ang ClusterODM"

#: ../../../large.rst:63 6d4217467bf544e9a7ad1ac56e9f9973
msgid ""
"Then on each machine you want to use for processing, launch a NodeODM "
"instance via"
msgstr ""
"Tapos, sa mga machine na gusto mong gamitin, i-launch ang NodeODM instance "
"via"

#: ../../../large.rst:69 f7f5d656ce9f46d89eaa1769c27ba6e5
msgid ""
"Connect via telnet to ClusterODM and add the IP addresses/port of the "
"machines running NodeODM"
msgstr ""
"Kumonekta via telnet to CLusterODM at i-add ang IP adresses/port ng machine "
"na gumagamit ng NodeODM"

#: ../../../large.rst:84 b6440814204a44fd9b9cbde1ff322cc3
msgid ""
"Make sure you are running version ``1.5.1`` or higher of the NodeODM API."
msgstr ""
"Siguraduhin na ikaw ay gumagamit ng bersiyon ``1.5.1`` o mas mataas pa na "
"NodeODM API."

#: ../../../large.rst:86 42d5b57f70b54515892481ba4875365b
msgid ""
"At this point, simply use the ``--sm-cluster`` option to enable distributed "
"split-merge"
msgstr ""
"Sa puntong ito, gamitin ang ``--sm-cluster`` na opsiyon para ma-enable ang "
"distributed split-merge"

#: ../../../large.rst:93 1ff052ee47864108abd13c2ca2b6eeef
msgid "Understanding the Cluster"
msgstr "Pagkaunawa sa 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 ""
"Kapag konektado via telnet, posible na magtanong sa kung ano na ang "
"kalagayan ng cluster. Halimbawa, pwedeng gamitin ang command na HELP para "
"hanapin ang mga available na commands."

#: ../../../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 ""
"Kung halimbawa naman ay ang Node ODM instance ay hindi aktibo kapag "
"sinimulan ang ClusterODM, maglilista kami ng nodesat makikita ang mga "
"sumusunod:"

#: ../../../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 ""
"Para maresolusyonan ito, maaaring magsimula ang lokal na node (kung hindi pa"
" nasisimulan) at magperform ng ``NODE UPDATE``"

#: ../../../large.rst:135 33eecf83e3124b59a7d0c13af09e04a2
msgid "Accessing the Logs"
msgstr "Pag-access sa 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 ""
"Habang ang proseso ay umaandar, posible rin na ilista ang mga task at tignan"
" ang mga task output."

#: ../../../large.rst:145 2a15305d8ba94ce0bdb2d07174a39b0f
msgid "Autoscaling ClusterODM"
msgstr "Autoscaling 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 ""
"Ang ClusterODM ay mayroon din opsiyon na autoscalesa maramihan na plataporma"
" kasama ng, hanggang ngayon, Amazon at Digital Ocean. Tinutulungan nito ang "
"user na mababaan ang presyo na nauugnay sa always-on na mga pagkakataon pati"
" na rin ang kakayanan na scale ang proseso base sa demand."

#: ../../../large.rst:149 62b6f826c2c643e0901155b8e13ae32b
msgid "To setup autoscaling you must:"
msgstr "Para i-set up ang autoscaling, dapat na:"

#: ../../../large.rst:151 1f57a583ee064aadaa3feee9c394eafc
msgid ""
"Have a functioning version of NodeJS installed and then install ClusterODM"
msgstr ""
"Mag-install ng gumaganang bersiyon ng NodeJS tsaka maginstall ng ClusterODM"

#: ../../../large.rst:159 717a4e330335494bb0df832234fa0032
msgid "Make sure docker-machine is installed."
msgstr "Siguraduhin na ang docker-machine ay installed."

#: ../../../large.rst:160 199f29aa6b7f4f409bb92e6c3cb5bf16
msgid "Setup a S3-compatible bucket for storing results."
msgstr "I-set up ang S3-compatible bucket para maitago ang mga resulta."

#: ../../../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 ""
"Gumawa ng file para sa `DigitalOcean "
"<https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/digitalocean.md>`_"
" o `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 "Maaari ng simulan ang ClusterODM"

#: ../../../large.rst:169 cfd356de2d654bf891a32218437a3674
msgid "You should see something similar to following messages in the console"
msgstr "Dapat makita ang similar na mensahe sa 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 ""
"Dapat ay mayroon kang kahit man lamang isang static NodeODM node na "
"nakakabit sa ClusterODM, kahit na plano mo na gamitin ang autoscaler sa "
"lahat ng proseso. Kapag naset-up ang autoscaling, hindi na pwedeng magka-"
"zero nodes at umasa sa autoscaler ng 100%. Kailangan kabitan ng NodeODM node"
" para kumilos bilang \"reference node\" kung hindi ma'y ang ClusterODM ay "
"hindi malalaman kung paano pangasiwaan ng mga ilang hiling (sa pagforward ng"
" UI, sa validating options bago sa spinning up ng instance, etc.). Sa "
"kadahilanan na ito, kailangan idagdag ang \"dummy\" NodeODM node at i-lock "
"ito."

#: ../../../large.rst:187 534c507b01064a47810c210e1bb41569
msgid "This way all tasks will be automatically forwarded to the autoscaler."
msgstr ""
"Sa paraan na ito, ang lahat ng tasks ay awtomatikong napapadala sa "
"autoscaler."

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

#: ../../../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 ""
"Ang 3D textured meshes ay kasalukuyan na hindi name-merge bilang parte ng "
"workflow (pino-point out lamang ang clouds, DEMS at orthophotos are)."

#: ../../../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 ""
"Ang GCPs ay suportado ng buo pero kailangan ng kahit man lang 3 GCP points "
"kada submodel para sa georeferencing na magsimula.  Kung ang submodel ay may"
" mas kaunti sa 3 GCPs, ang kombinasyon ng natitirang GCPs + EXIF data ang "
"gagamitin (na medyo hindi kasing eksakto). Nirerekomenda na gamitin ang "
"``image_groups.txt`` file para eksaktong macontrol ang submodel split habang"
" ginagamit ang GCPs."

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

#: ../../../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 ""
"Malaking pagpugay kay Pau at sa mga tao ng Mapillary para sa kanilang "
"kamangha-mangha na kontribusyon sa OpenDroneMap sa pamamagitan ng kanilang "
"OpenSfM code, na isang pangunahing sangkap ng split-merge pipeline. "
"Inaabangan namin ang kaunlaran at pagtulak sa mga limitasyon ng OpenDronMap "
"at  makita kung gaano kalaki ang dataset na mapa-process."

#: ../../../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 ""
