Update documentation

_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

cs/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

cs/tutorials/index.html

@@ -449,7 +449,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animace zobrazující optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>Vzhledem k tomu, že tento přístup k létání může trvat déle než typické lety, může pilot nebo tým proletět malou oblast pomocí výše uvedeného přístupu. OpenDroneMap vygeneruje kalibrační soubor s názvem cameras.json, který pak lze importovat a použít ke kalibraci dalšího letu, který je efektivnější.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternativně lze použít následující experimentální metodu: letět s mnohem menším překrytím, ale se dvěma lety <em>crossgrid</em> (někdy nazývanými crosshatch) oddělenými od sebe 20° s kamerou směřující 5° dopředu.</p>
 <ul class="simple">
 <li><p>Procento překrytí napříč sítí může být nižší než u paralelních letů. Pro dosažení dobrých výsledků ve 3D budete potřebovat 68% překrytí a sidelap pro ekvivalentní 83% překrytí a sidelap.</p></li>

es/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

es/tutorials/index.html

@@ -449,7 +449,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animación que muestra el óptimo" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>Como este enfoque de vuelo puede llevar más tiempo que los vuelos típicos, un piloto o un equipo pueden volar en un área pequeña utilizando el enfoque anterior. OpenDroneMap generará un archivo de calibración llamado camera.json que luego se puede importar para usarlo para calibrar otro vuelo que se vuela de manera más eficiente.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternativamente, se puede aplicar el siguiente método experimental: volar con una superposición mucho menor, pero dos vuelos de <em>rejilla cruzada</em> (a veces llamados rayados cruzados) separados por 20 ° con una cámara de 5 ° orientada hacia adelante.</p>
 <ul class="simple">
 <li><p>Los porcentajes de superposición de rejillas cruzadas pueden ser más bajos que los vuelos paralelos. Para obtener buenos resultados en 3D, necesitará un 68% de superposición y superposición lateral para una superposición y superposición lateral equivalente del 83%.</p></li>

fil/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

fil/tutorials/index.html

@@ -448,7 +448,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>Dahil ang pamamaraang ito sa paglipad ay maaaring mas matagal kaysa sa mga karaniwang lipad, ang isa o ilang mga piloto ay maaaring lumipad ng isang maliit na lugar gamit ang pamamaraan sa itaas. Ang OpenDroneMap ay bubuo ng isang pangkalibrate file na tinatawag na mga cameras.json na pagkatapos ay mai-import upang magamit na pang calibrate ang isa pang flight na mas mahusay na napaliparan.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Bilang kahalili, ang sumusunod na pamamaraan ng eksperimento ay maaaring gawin: lumipad na may mas mababang overlap, ngunit dalawang flight ng crossgrid (kung minsan ay tinatawag na crosshatch) na pinaghiwalay ng 20° na may 5° pasulong na nakaharap na camera.</p>
 <ul class="simple">
 <li><p>Ang mga porsyento na overlap ng crossgrid ay maaaring mas mababa kaysa sa mga kahilera na flight. Upang makakuha ng mahusay na mga resulta ng 3D, kakailanganin ang 68% na magkakapatong at sidelap para sa katumbas na 83% na magkakapatong at sidelap.</p></li>

fr/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

fr/tutorials/index.html

@@ -449,7 +449,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternatively, the following experimental method can be applied: fly with much lower overlap, but two <em>crossgrid</em> flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.</p>
 <ul class="simple">
 <li><p>Crossgrid overlap percentages can be lower than parallel flights. To get good 3D results, you will require 68% overlap and sidelap for an equivalent 83% overlap and sidelap.</p></li>

id/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

id/tutorials/index.html

@@ -449,7 +449,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternatively, the following experimental method can be applied: fly with much lower overlap, but two <em>crossgrid</em> flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.</p>
 <ul class="simple">
 <li><p>Crossgrid overlap percentages can be lower than parallel flights. To get good 3D results, you will require 68% overlap and sidelap for an equivalent 83% overlap and sidelap.</p></li>

sw/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

sw/tutorials/index.html

@@ -448,7 +448,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>Kama itafikia kuruka drone itachukua muda mrefu kuliko kuruka kwa kawaida, rubani au kikundi kinaweza kurusha drone kwa kumia njia hio hapo juu. OpenDroneMap itatengeneza file lilorekebishwa linaloitwa cameras.json ambayo baadae itachukuliwa kutumika kwa mruko mwengine, itakua ni mruko wa ufanisi zaidi.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Vyenginevyo, njia za majaribio yafuatayo zinaweza kutumika: rusha drone kwa kupishanisha picha kidogo, lakini miruko crossgrid miwili (wakati mwengine huitwa crosshatch) iliotenganishwa kwa 20° na 5° moja kwa moja ikiangalia camera.</p>
 <ul class="simple">
 <li><p>Crossgrid asilimia za kupishana zinaweza kuwa ndogo kuliko flight sambamba. Kwa kupata matukio mazuri ya 3D, utatakiwa 68% za kupishana na ubavuni kushabihiana na 83% kupishana na ubavuni.</p></li>

te/_sources/tutorials.rst.txt

@@ -41,7 +41,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
   :height: 480
   :width: 640
 
-As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
+As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.
 
 Alternatively, the following experimental method can be applied: fly with much lower overlap, but two *crossgrid* flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.
 

te/tutorials/index.html

@@ -449,7 +449,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternatively, the following experimental method can be applied: fly with much lower overlap, but two <em>crossgrid</em> flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.</p>
 <ul class="simple">
 <li><p>Crossgrid overlap percentages can be lower than parallel flights. To get good 3D results, you will require 68% overlap and sidelap for an equivalent 83% overlap and sidelap.</p></li>

tutorials/index.html

@@ -448,7 +448,7 @@
 <figure class="align-center">
 <a class="reference internal image-reference" href="../_images/flightplanning.gif"><img alt="animation showing optimum" src="../_images/flightplanning.gif" style="width: 640px; height: 480px;" /></a>
 </figure>
-<p>As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.</p>
+<p>As this approach takes longer than traditional imaging, pilots and teams may apply this technique to a smaller area and use the collected data to optimize future flights. OpenDroneMap can generate a calibration file called cameras.json from a small sample flight. The calibration file can be used for future flights, mitigating the bowling effect without sacrificing efficiency.</p>
 <p>Alternatively, the following experimental method can be applied: fly with much lower overlap, but two <em>crossgrid</em> flights (sometimes called crosshatch) separated by 20° with a 5° forward facing camera.</p>
 <ul class="simple">
 <li><p>Crossgrid overlap percentages can be lower than parallel flights. To get good 3D results, you will require 68% overlap and sidelap for an equivalent 83% overlap and sidelap.</p></li>