Intense googeling failed to turn out a single decent example of how to program the RTC.
all I could find were examples for the C5000/4000 models, which seems work differently as I was unable to locate any of the header files required to get the sample code to compile.
the closest I got was finding the RTC user manual, but it's no help at all on the subject of actually programming the real time clock using C
I'd appreciate to no end a working example or a pointer to where such an example exists
I'm assuming you are using TI's DSP/BIOS, as this seems to be the most common manner in which the C6000 family of DSPs are used. The DSP/BIOS operating system provides a number of APIs for interfacing with the real time clock (the CLK module). These APIs abstract away the registers and other low-level details of the RTC as described in the RTC user manual. This is generally the simplest way to use the clock as it avoids the need to manually "program" it.
See the CLK section in the API reference.
Related
I've an issue with my current micropython project on my ESP8266. I've a 10x10 LED matrix which i would like to control via 4 shift registers.
In general 3 pins are required for the controlling DATA, LATCH and CLOCK. After some hours of internet searching the most promising solution was the usage of SPI, where also found some useful instructions for the pyboard (thank you for the code btw):
https://forum.micropython.org/viewtopic.php?t=1219
I tried to replace the pyboard specific librarys with the general machine module for the ESP8266 to get access to the SPI class. It worked fine till a specific point but the main issue at the moment is that it was not capable provide a binary signal at the DATA pin.
To be honest I'm a little bit confused about the write methods in the machine.SPI class. The docu says the return value is None. So in general what is the purpose of a write method with a return value of None (sry for the maybe silly question)
Is there maybe another solution to get a binary signal out of the data pin? I'm not sure anymore if the usage of SPI is the best way to manage the controlling. Do you have some other examples or tutorials to get deeper into the topic?
Thank you for your kind response in advance,
BR charlzo
I'm writing a program (C#) to read, convert, display, adjust and output point cloud data.
I can make every part of the program except for one - I am required to read in a proprietary file format. The data is coming straight from a laser scanner and we cannot get any closer to the stream than what is output to the proprietary file in binary.
I have an SDK from the manufacturer/proprietor that is well outside my scope of ability to deal with.
Firstly it is written in C++, which I can read and write to some degree but this all appears incredibly complex (there are hundred of header/source files).
Secondly, the SDK documentation says that I must create my SLN using CMake which is a nightmare for me also.
Thirdly, the documentation is scarce and horrid.
Basically my question is this:
I know that after a certain amount of header information I should find thousands of lines of "lineref,x,y,z,r,g,b,time,intensity".
Can I bypass the SDK and find another way to read in this file type?
Or, must an SDK from the proprietor be used to interact with their file type due to some sort of encryption?
TraceGL is a pretty neat project that allows JS programmers to trace code paths in Javascript. It looks something like this:
I'd like to build something similar for Objective C. I know the runtime has made it rather easy to trace method calls, but how would I trace control flow? For example, in the screenshot above, code paths not executed are made obvious with a red highlight. What would be the best way to achieve something similar in an Objective C/Xcode workflow?
The best I've come up with so far is to write a preprocessor that injects code into temporary source files before sending them to the compiler. Anyone have a better idea?
I guess the visualizer for issues found by Xcode's static analyzer comes pretty close to this - albeit this one will only give you the call path for a particular issue like a memory leak.
Try "Product > Analyze" in Xcode, select any of the issues found on any given project and click on the blue arrow in the code editor to see for yourself.
Not exactly answer for Objective C and XCode.
For C++ code there is a industrial quality code coverage tool BullseyeCoverage
Function coverage gives you a quick overview and condition/decision coverage gives you high precision
Works with everything you can write in C++ and C, including system-level and kernel mode
If you want to invent/write this kind of tool yourself I'd recommend to take a look at (evaluate) some existing tools that solve the same task so that you don't miss a key functionality
There are basically 2 categories of such tools
working at binary level, instrument byte code, library entry points etc.
working at source level, instrument source code before going to the compiler
The purpose of the instrumentation is to insert into the code calls to a profiling runtime that collects the runtime statistics for further processing.
Basic calls
timestamp, thread id, source code address, entering
timestamp, thread id, source code address, leaving
The source code address depends on the granularity you are interesetd in. It can be a function name ot it can be a source file and line number.
Collected performance data can be quite huge so they are usually summed-up and whole callstacks are not captured. It is usually sufficient level of detail for detecting performance bottlenecks.
Another drawback is that capturing detailed performance data especially in code points with many hits will slow the application significantly.
If you want complete history then capture the full trace including timestamps and thread-ids and you will be able to recreate the call stacks later knowing that each enter has corresponding leave.
To guarantee this pairing the code instrumentation must insert exception handling calls to make sure that exit point will be logged even if the function throws an exception (what is the "exception" and how to try-finally it dependes on the language and the OS platform).
To get all necessary tricks and tips evaluate some tools and take a look at their instrumentation style.
BTW: in general it is quite a lot of work to do and to get right I'd personally thought twice or more times about what will be the outcome and what will be the costs.
As a want-to-play-with topic I fully recommend that. I created such a tool for troubleshooting Java MIDP applications working at C++ source level and Java binary level and it was helpful at the time when we needed it.
Is it possible to get location data out of Google Gears, Google Gelocation API or any other web location API (such as Fire Eagle) in such a format that it appears to other software as a GPS device?
It occured to me reading these answers to my question regarding WiFi location finding, on Super User, that if I could emulate a GPS unit, many of these web services could act as a 'poor-mans' GPS to otherwise less useful software that requires it.
Is GPSD an option?
Preferably OSX & Python, but I would be interested in any implementation.
There is a very similar thread on a Python mailinglist that mentions Windows virtual COM ports and discusses Unix's pseudo-tty capabilities. If the app(s) you want to use let you type in a specific tty device file, this may be the easiest route. (Short of asking the authors to provide a plugin API for what you're trying to do, or buying yourself a $20 bluetooth GPS mouse.)
Are you using OS X?
There is a project macosxvirtualserialport on Google code that provides a graphical wrapper around some of the features of a utility called socat. I'd recommend taking a look at socat if you see potential in the pseudo-tty route. I believe you could use socat to link a pipe from a Python program to a pseudo-tty.
Most native Mac apps will be querying IOServiceMatching for a device with kIOSerialBSDRS232Type, and I doubt that a pseudo-tty will show up as an IOKit service.
In this case, unless you can find a project that has already implemented such a thing, you will need to implement a driver as described in this How to create virtual COM port thread. If you're going to the trouble of create a device driver, you would want to base it on IOKit because of that likely IOServiceMatching query. You can find the Apple16X50Serial project mentioned in that post at the top of Apple's open source code list (go to the main page and pick an older OS release if you want to target something pre-10.6).
If your app is most useful with realtime data (e.g. the RouteBuddy app mentioned in the Python mailinglist thread can log current positions) then you will want to fetch updates from your web sources (hopefully they support long-polling) and convert them to basic NMEA RMC sentences. You do not want to do this from inside your driver code. Instead, divide your work up into kernel-land and user-land pieces that can communicate, and put as little of the code as possible into the kernel part.
If you want to let apps both read and write to these web services, your best bet would probably be to simulate a Garmin device. Garmin has more-or-less documented their protocol in the IntfSpec.pdf file included with their Device Interface SDK. Again, you'd want to split as much as you could into user-space code.
I was unable to find a project or utility that implements the kernel side of an IOKit-based virtual serial interface, but I'd be surprised if there wasn't one hiding somewhere out there. Unfortunately, most of the answers I found to that question were like this, with the developer being told to get busy writing a kext.
I'm not exactly sure how to accomplish what you're asking, but I may be able to lend some insight as to how you might begin to get it done. So here goes:
A GPS device shows up to most systems as nothing more than a serial device -- a.k.a. a COM port if you're dealing with Windows, /dev/ttySx if you're in *nix. By definition, a serial port's specific duty is to stream data across a bus, one block at a time. So, it would then follow logically that if you want to emulate the presence of a GPS device, you should gather the data you're consuming and put it into a stream that somehow acts like an active serial port.
There are, however, some complications you might want to consider:
Most GPS devices don't just send out location data; there's also information on satellite locations, fix quality, bearing, and so on. Then again, nobody's made any rules saying you have to make all that data available. There's probably more to this, but I'll admit that I need to do more research in this area myself.
I'm not sure how fast you can receive data when dealing with Google Latitude, etc., but any delays in receiving would definitely result in visible pauses in your "serial port"'s data stream. Again, this may not be as big a complication as it seems, because GPS devices are known to "burst" data across the bus anyway, but I'd definitely keep an eye on that. You want to make sure there's always a surplus of data coming across, not a shortage.
Along the way you'll also have to transform the coordinates you receive into valid GPS sentences, as well. You can find specifications for those, but I would definitely make friends with the NMEA standard -- even though it is a flawed standard, it's the one everyone seems to agree on anyway.
Hope this helped you, at least a little bit. Are there anymore details specific to your problem that you think could be useful in answering this question?
Take a look to Franson GPS Gate which allows you to connect to Google Earth among other things (like simulating GPS and so on). Is windows only though but I think you could get some useful ideas from it.
I haven't looked into it very much, but have you considered using Skyhook's SDK? It might provide you with some of what you are looking for. It's available for every major desktop and mobile OS.
I have been working with Carmen http://carmen.sourceforge.net/ for a while now, and I really like the software but I need to make some changes inside the source code.
I am therefore interesting in some students reports/projects there have been working with Carmen, or any documentation of the source code.
I have been reading the documentation on the webpage for Carmen, but with all respect I think the literature there is a bit outdated and insufficient.
ROS is the new hot navigation toolkit for robotics. It has a professional development group and a very active community. The documentation is okay, but it's the best I've seen for robotic operating systems.
There are a lot of student project teams that are using it.
Check it out at www.ros.org
I'll be more specific on why ROS is awesome...
Built in visualizer/simulator rviz
- It has a record function which will record all of the messages passed out of nodes, this allows you take in a lot of raw data store it in a "ros bag" and then play it back later when you need to test your AI, but want to sit in your bed.
Built in navigation capabilities,
-all you have to do is write the publishers of data for your sensors.
-It has standard messages that you need to fill out so that the stack has enough information.
There is an Extended Kalman Filter which is pretty awesome because I didn't want to write one. Currently implementing it, i'll let you know how that turns out.
It also has built in message levels, by that I mean you can change which severity of print messages are printed during runtime, fairly handy for debugging.
There's a robot monitor node that you can publish the status of your sensors to and it bundles all of that information into a GUI for your viewing pleasure.
There are some basic drivers already written. For example SICK lidars are supported right out of the box.
There is also a built in transform function, to help you move everything to the right coordinate system.
ROS was made to run across multiple computers, but can work on just one.
Data transfer is handled over TCP ports.
I hope that's more helpful.