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<html devsite>
<head>
<title>Rotation Vector CV Crosscheck</title>
<meta name="project_path" value="/_project.yaml" />
<meta name="book_path" value="/_book.yaml" />
</head>
<body>
<!--
Copyright 2017 The Android Open Source Project
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
<div class="attempt-right" style="width:214px">
<img src="images/acircles_pattern_reduced.png" alt="Test pattern thumbnail" height="166" />
<p class="img-caption">
<strong>Figure 1.</strong> Thumbnail of test pattern. Download the
full-resolution image linked above.
</p>
</div>
<p>This page provides the steps to properly test the compatibility of your <a
href="/devices/sensors/sensor-types.html#rotation_vector">rotation vector
sensor</a> implementation. This test should be run when the device declares the
TYPE_ROTATION_VECTOR composite sensor feature. See this <a
href="https://www.youtube.com/watch?v=MsDVmsH1PaI">video tutorial</a> for
additional details.</p>
<h2 id=testing>Testing</h2>
<ol>
<li>Install OpenCV Manager on the Android device being tested.
<li>Download the <code>OpenCV-3.0.0-android-sdk.zip</code> package from <a
href="https://sourceforge.net/projects/opencvlibrary/files/opencv-android/3.0.0">SourceForge.net</a>.
<li>Find the APK
from the <code>apk</code> folder inside the downloaded archive. Consult <a
href="http://developer.android.com/tools/help/adb.html#move">installing an
application</a> for the command to load APKs onto the Android device from
computer.
<li>If there is active account logged into Google Play, also locate
OpenCV Manager in Google Play and disable <em>Auto-update</em> in the context menu
(the popup menu from the "..." button).
<img src="images/openvc-play.png" alt="Disable OpenCV Manager Auto-updates" height="533" id="disable-opencv" />
<p class="img-caption">
<strong>Figure 2.</strong> Disabling Auto-update in Google Play.
</p>
<li>Print out the linked <a href="images/acircles_pattern.pdf">test pattern</a>,
disabling any scaling options when printing. The pattern should fit US
Letter paper in landscape or anything bigger.
<p class="note"><strong>Note:</strong> The inline picture above is low
resolution and just for illustration. Please do not directly print it as your
pattern.</p>
<li>Place the pattern on a horizontal surface.
<li>Start the <strong>Rotation Vector CV Crosscheck</strong> in the CTS Verifier
app. Follow the guide to turn on airplane mode, turn off auto rotate, and
adjust adaptive brightness and location if these changes have
not been made.<br />
<img src="images/RVCVXCheck_start.png" alt="Test initiation" height="533" id="test-start" />
<p class="img-caption">
<strong>Figure 3.</strong> Initiating the test.
</p>
<li>When the video preview appears, place the phone three feet (or one meter) over
the pattern so the main camera is facing the pattern with yellow marker on the
screen and yellow marker on the pattern aligned at the same corner.<br />
<img src="images/RVCVXCheck_down.png" alt="Test pattern placement" height="207" id="test-pattern-placement" />
<p class="img-caption">
<strong>Figure 4.</strong> Placing the test pattern.
</p>
<li>While keeping the pattern entirely in the camera view, rotate the Android
device under test (DUT) around the pattern in three different directions, one
by one (1, 2 and then 3 illustrated in picture below) as prompted by the
rotation range indicator. Keep movement smooth and steady for the best result.<br />
<img src="images/RVCVXCheck_flow.png" alt="Device movement" height="426" id="device-movement" />
<p class="img-caption">
<strong>Figure 5.</strong> Manipulating the device under test.
</p>
<li>After the capture, the camera preview will disappear and the analysis process
will start. Wait patiently for analysis to finish; it usually takes one to five
minutes depending on the phone performance. The phone will sound and vibrate at
analysis completion. A numerical result will be presented on screen if the
analysis is successful.<br />
<img src="images/RVCVXCheck_next.png" alt="Test completion" height="533" id="test-complete"/>
<p class="img-caption">
<strong>Figure 6.</strong> Finishing the test.
</p>
<li>Click <strong>next</strong> to proceed to the pass/fail screen and review the result.<br />
<img src="images/RVCVXCheck_pass.png" alt="Test success" height="533" id="test-success" />
<p class="img-caption">
<strong>Figure 7.</strong> Passing the test.
</p>
<li>Follow these tips for best results:
<ol>
<li>Since this is a manual test with complexity, you may want to try it a few times
for the best results.
<li>Accelerometer, gyroscope, and magnetometer should be calibrated before testing
for good results.
<li>See this <a href="https://www.youtube.com/watch?v=MsDVmsH1PaI">video
tutorial</a> for additional details.
</ol>
</ol>
<h2 id=troubleshooting>Troubleshooting</h2>
<ol>
<li>Symptom: Test crashed when starting test case or immediately after finishing video recording.<br>
Cause: Likely an OpenCV Manager compatibility issue. Check
<code>logcat</code> to confirm. If confirmed, check version and arch of the
installed OpenCV Manager.
<li>Symptom: Test fails frequently due to "Too many invalid frame" errors.<br>
Cause: Likely due to video quality. Confirm the following conditions:
<ol>
<li>There is enough ambient lighting for the test. Natural light
usually gives the best result. However, when it is not available, abundant
light from multiple angles that does not form obvious shadows works, as well.
Avoid low angle lighting to reduce glare.
<li>The motion during video taking is smooth. Jerky movement causes
blur and confuses the computer vision software.
<li>The pattern should always be entirely in video preview frame and
located around the center. The pattern should be 1/4 ~ 1/2 the size of the
video preview window. If the pattern is too small, the accuracy is reduced.
If the pattern is too big, lens distortion is more obvious, and it is more
difficult to keep the pattern always inside video recording frame.
<li>The camera is able to focus well. Some devices have trouble in
focusing during video recording. This is usually due to there is too few
variations in the scene, e.g. solid color smooth floor surface. Moving test
pattern to a place with textured surface or introducing objects around the test
pattern usually helps.
<li>Image stabilization is turned off.
</ol>
<li>Symptom: The pitch and roll test works fine, but the yaw test regularly fails.<br>
Cause: First, make sure the magnetic field sensor is well calibrated.
Rotation vector does not function well if magnetic field sensor is not
calibrated.<br>
It is also possible that yaw axis fails due to video taking. Hold the
device steady and walk/move around the test pattern for the yaw section of
test. It is hard to maintain the quality of video while rotating device in
hand.
</ol>
<h2 id=reporting>Reporting feedback</h2>
<p>If the steps above do not help, please make sure to follow the feedback steps below to report your issue.</p>
<p>Please gather the following information when reporting a bug:</p>
<ol>
<li>Android bugreport
<li>Screenshot if there is any error message on screen.
<li>Contents of <code>/sdcard/RVCVRecData/</code>. This folder contains
video files and thus can be quite large if the test has already been taken
multiple times. Clearing the folder and performing the test again will
help reduce size. Inspect video files inside to find obvious issues in
recording.
<li>Screenshot of the OpenCV Manager app.
</ol>
</body>
</html>
|
