So I have a Jawbone Up band and i am trying to analyse the accelerometer data from the band. The CVS that i can download from the website does not give me that. Is there a way to extract the exact accelerometer values that the band is recording?
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I am currently working on a project with a thermal datasets I found online. Basically I just need to extract the .csv from the thermal image. Because the datasets only provide the jpg format, I tried to use the FLIR TOOLS to get the temperature value out of the image.
As seen, the FLIR TOOLS detect that the temperature of the face is 74.7 at the highest, which makes no sense, is this possible to get the 'closest' value to? or it is impossible because the .jpg format? Can anyone recommend me on how to get the temperatrue from a Thermal image? Thanks a lot!
In general - you can't get temperature from plain grayscale JPEG. It has no temperature calibration data which relate gray level to real temperature. Real FLIR images contain embedded metadata for that.
Is it possible to train the area-learning module in a project tango device with other data than the one automatically input through the sensors?
I am asking because I want to teach the area algorithm a preexisting 3D model, thereby making object recognition possible.
I am not asking for a highlevel ability to convert any 3D model to an ADF. If I have to generate several point clouds and color buffers myself based on the 3D model, that would also work.
I am also not asking to know about any Google secrets of the internal format of ADFs. Only to have some way to put data in there.
Currently, there's no way of doing that through Tango public APIs. All pipeline, learning or relocalizing have to be done on device.
So, the situation:
I need to save high resolution images from google maps of an area given by latitude and longitude coords.
Of course I know that from google earth I can save high res. images, but want to save the image as it looks like in google maps, e.g. without satellite images, so only roads, area names, etc.
With print screen I'm not able to create high res. images in google maps, so,
is there any way to save high res. images? For example with maps API, or something.
Again, I need to save an area's high res. image given by latitude/longitude coords.
Thanks in advance for the answers.
For some higher res imagery, you might want to use the Static Maps api, using the scale paramater.
Some more info below.
http://googlegeodevelopers.blogspot.com/2011/08/go-large-with-high-resolution-support.html
https://developers.google.com/maps/documentation/staticmaps/?csw=1#scale_values
Currently I am using an accelerometer, Gyro and magnetometer for motion tracking application.I have a 9D sensor fusion functionality to calculate the orientations and gravity cancellation from accelerometer data. How do i now calculate the position of the object in three dimensions? Kindly suggest any algorithm which could give good accuracy.
Extended Kalman filter can give you the best results for motion tracking if you are working on real time application. I would suggest you to refer a book Multi Sensor Data fusion with MATLAB (CRC Press).
Summary: I need a tool that can put 60m+ points on a map image. I'm trying to show density map and would like to plot a dot for each point (lat/long) on the map.
Hi I'm working on project that requires a density map. I have latitude and longitude and all the tools that I have seen (Ammap, FusionCharts maps, google charts/map) requires either XML or JSON or some other data type with the data points. Problem here is that, I have 60 million + data points and transferring any type of object with that many data point is not feasible.
One solution I can think of is mapping latitude and longitude to pixels of the map image. That requires a lot of time and work. I was wondering if you guys have done something similar and know of tools that can do this for me. It doesn't have to be free.
You'd be much better off creating a heatmap instead of passing all of the individual points to the map, which would get very busy, very quickly.
There are already a few discussions over at GIS.StackExchange about this exact topic. Search the the [heatmap] tag.
Since you mentioned FusionCharts, assuming you can load all of your data into a Google Fusion Table, it looks like you should be able to make a heat map in Google Fusion Tables).