Difference between revisions of "Eyesis4Pi data structure"
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===Stitched panoramas Editor/Viewer=== | ===Stitched panoramas Editor/Viewer=== | ||
| − | [http://community.elphel.com/files/eyesis/pano-db-3/webgl_panorama_editor.html?kml=mainstreet_ro.kml Sample route in WebGL Pano Editor/Viewer]. | + | * [[Stitched_panoramas_editor_viewer|WebGL Pano Editor/Viewer documentation page]]. |
| + | * [http://community.elphel.com/files/eyesis/pano-db-3/webgl_panorama_editor.html?kml=mainstreet_ro.kml Sample route in WebGL Pano Editor/Viewer]. | ||
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Revision as of 10:55, 11 June 2012
Contents
Intro
Eyesis4Pi stores images and gps/imu logs independently.
| Data | Stored on | Comments |
|---|---|---|
| Images | Host PC or (9x) internal SSDs (if equipped) | |
| IMU/GPS logs | Internal Compact Flash cards (2x16GB) |
IMU/GPS logs
Description
A sensor's log is a list of registered events from various sources:
- Trigger for starting image exposure (fps)
- IMU sentence received (2460 samples per second)
- GPS sentence received (5 samples per second) - in NMEA or other configured format.
Logs are stored in a binary format to have smaller size. Also, there's a file size limit - when it's reached a new file with an auto-incremented index will be started.
Raw logs examples
All the raw *.log files are found here
Parsed log example
parsed_log_example.txt (41.3MB) at the same location
[localTimeStamp,usec]: IMU: [gyroX] [gyroY] [gyroZ] [angleX] [angleY] [angleZ] [accelX] [accelY] [accelZ] [veloX] [veloY] [veloZ] [temperature] [localTimeStamp,usec]: GPS: $GPRMC,231112.8,A,4043.36963,N,11155.90617,W,000.00,089.0,250811,013.2,E [localTimeStamp,usec]: SRC: [masterTimeStamp,usec]=>1314335482848366 [localTimeStamp,usec]=>1314335474855775
Tools for parsing logs
Download one of the raw logs.
- PHP: Download read_imu_log.php_txt, rename it to *.php and run on a PC with PHP installed.
- Java: Download IMUDataProcessing project for Eclipse.
Images
Samples
Description
The pictures from each image sensor are stored in 8 triplets (because 3 sensors are connected to a single system board for the 24-sensor equipped camera) in the RAW JP4 format. ImageJ plugin deals with the triplet structure and does all reorientation automatically.
 JP4 file opened as JPEG - sample from the master camera. Download original JP4 Open in an online EXIF reader |
File names
Image filename is a timestamp of when it was taken plus the index of the camera (seconds_microseconds_index.jp4):
1334548426_780764_1.jp4 1334548426_780764_2.jp4 ... 1334548426_780764_8.jp4
EXIF headers
The JP4 images from the 1st (master) camera have a standard EXIF header which contains all the image taking related information and is geotagged. So the GPS coordinates are present in both the GPS/IMU log and the EXIF header of the 1st camera images. Images from other cameras are not geotagged.
- Open the image from the master camera in an online EXIF viewer.
- Open the image from the secondary camera in an online EXIF viewer.
- The coordinates can be extracted from the images with a PHP script and a map KML file can be created.
Post-Processing
Requirements
- ImageJ.
- Elphel ImageJ Plugins.
- Hugin tools - enblend.
- Download calibration kernels for the current Eyesis4Pi. Example kernels and sensor files can be found here(~35GB).
- Download default.corr-xml from the same location.
Instructions(subject to changes soon)
- Launch ImageJ -> Plugins -> Compile & Run. Find and select EyesisCorrections.java.
- Restore button -> browse for default.corr-xml.
- Configure correction button - make sure that the following paths are set correctly:
Source files directory - directory with the footage images Sensor calibration directory - [YOUR-PATH]/sensor_calibration_files Aberration kernels (sharp) directory - [YOUR-PATH]/kernels/sharp Aberration kernels (smooth) directory - [YOUR-PATH]/kernels/smooth Equirectangular maps directory(may be empty) - [YOUR-PATH]/kernels/eqr (it should be created automatically if the w/r rights of [YOUR-PATH]/kernels allow)
- Configure warping -> rebuild map files - this will create maps in [YOUR-PATH]/kernels/eqr. Will take ~5-10 minutes.
- Select source files -> select all the footage files to be processed.
- Process files to start the processing. Depending on the PC power can take ~30 minutes for a panorama of 19 images.
- After processing is done there is only the blending step - enblend can be used from the command line (cd to the directory with the results), example:
enblend -l 10 --no-optimize --fine-mask -a -v -w -o result.tif 1334546768_780764-*_EQR.tiff 1334546768_780764-*_EQR-*.tiff
Previewer
Note: This step is done independently from the processing and is not necessary if all the footage is to be post-processed. Just needs a KML file generated from the footage.
Here's an example of previewing the footage (works better in Firefox). If used on a local PC requires these tools to be installed.
Stitched panoramas Editor/Viewer
