Speed 5k Overlay Pack Download ##VERIFIED##
Amber Monton
HI i have bought the RCT715, and used it for the first time the other day, when looking back at the footage the GPS and speed was on for some of my ride, i turned the unit off at a cafe stop to save battery, then turned it back on again when we left,
It had been an off and on issue since I got mine. Seems more stable now with version 5.10 that also shows the closing speed of the vehicles. Only issue I had with that version was that it turned off "Recording" when I installed it.
I just submitted the following support ticket to Garmin:
"hi, I have recently purchased an Edge 540 to use with my Varia RCT715. Pairing and functions all good however the GPS coordinate, bike and vehicle speed data overlay does not work. I have enabled all the relevant settings and preferences in the Varia mobile app. I was previously using a Wahoo computer however I specifically purchased the Edge 540 in order to get the data overlay without having to use my phone's varia app during my ride to achieve having the data overlay in my footage. Furthermore, the data overlay feature does work when my phone is connected however this function periodically drops off and the connection is lost. The data overlay is sporadically present in some footage during some of my riding but not there for the majority of it. I purchased the Edge 540 specifically to use with the Varia RCT715 to be able to have data overlay without the need to have my phone connected."
What would be the disadvantage of using two filters? One filter for speed and one filter for elevation. There are currently no filters that provide multiple overlay objects. So that would be more effort/design.
Since unboxed from new, the RCT715 GPS and Speed data overlay in videos are just props. They don't work at all. It will pick up random speed and gps coordinates at the beginning and it will stick there until the end of the ride, if I am lucky, otherwise, it will just say 0 kph as speed and some random coordinates from any point of the ride. The app says if you have a compatible Garmin device connected, it will be used as the source of speed and gps data. I have an 830 and using speed sensor but still doesn't cut it to get the gps and speed data work properly.
I have a large grid of 1km square cells covering an the area around the Atlantic Ocean around the Atlantic Provinces of Canada from Labrador to Greenland south to the US Canada border. In all it is about 4.3 million cells.I have 400k tracks representing shipping; about 10Gb of data. I am trying to overlay the grid onto the tracks to generate statistics for each cell. I have been passing it to the multiprocessing objects with various results using methods such as using numpy array_split to break the tracks and the grid into smaller chunks which worked for a small sample set but didn't for the whole dataset. I even tried doing it to one cell at a time which was working but was taking too long.I started looking into other methods like...
I ended up using multiprocessor and numpy array_split to pass sections of the data to an overlay. In order to get by the 2Gb limit I did all the grid math and returned a final dataframe to be concatinated into one dataframe and saved.
It takes about 15min to do the overlay and another 15 to 20 to do the cell calculations (I only included 1 count function, I have 78). In all there are 430 sets of 10000 grid squares and when using 3 processors I end up with an estimated time to completion of (((430*30)/3)/60)/24 = 2.9 days. I am looking at applying pandarallel's parallel_apply to speed up the cell math.If anyone has a solution using dask I would like to try it.
My first answer took about 16h per array split and I had 430 of them with 10000 cells each. (len(grid)//10000 equals roughly 430 grids; if in every 16h I processed 8 it would have taken 35 days. The reason why it was faster in my testing is because I was overlaying a target that was clipped to my mask. As soon as the target had a large number of features outside the mask performance dropped. I then tested an overlay with a mask of 100 cells, 1000 cells, and 10000 cells and found that more cells didn't have a massive effect on the time to perform an overlay but more target features did so I swapped the target features to the process pool.
This also works if your PC resources cannot handle the results of the overlay, like mine, so each return could be an export to file and then each file can be worked with independently. In my case, I did some grid math using the overlay results which were much smaller than the results of the overlay so I could pass them back to the main worker, concatenate them, and export them to a file.
You could try using geofileops. This is a library that aims to efficiently process larger geo files. It will apply multiprocessing under the hood. For some operations geopandas is used, but not for overlay operations like intersection. I mainly work with polygon data... but line data should normally work as well.
Once a Garmin Dash Cam Mini or Garmin Dash Cam Mini 2 and one of the Dash Cams listed above are connected to the Garmin Drive app, the speed and location overlay will be enabled on each Dash Cam. See Customizing Data Overlay in the Garmin Drive App to adjust the type of data displayed on videos and pictures.
Overlay mounts help to address a challenge we run into when we have several containers on a single host. The basic problem is that every time you run dnf or yum inside a container, the container downloads and processes the metadata of all the repositories. To address this, we added an advanced volume mount to allow all of the containers to share the host's metadata. This approach avoids repeating the download and processing for each container. I previously wrote a blog post introducing the concept of overlay mounts inside of builds.
Hi Dan! I just read your article on speeding up container builds with local cache, so I wanted to implement the technique for one of my builds as I have to try different things, so relaunch build every 5-10 minutes... I guess I understood most of it (I'm relatively new to this part of the process), but as I am on Fedora 31 and using a CentOS 7 base image, I was wondering how to populate the case on my host. Especially as dnf is not part of CentOS7 if I am right... Does that make sense?
I'm using FFmpeg to overlay text on videos, and I find the process to be quite slow. The operation becomes especially slow when I add complex drawtext filters. I'm running this on a MacBook Pro with M1 Pro and 32GB RAM, yet FFmpeg is using only 20% of the CPU at most. I'd like to speed up the process without compromising on quality.
And in fact, I can then click on any car and see the details of that radar moment, including an estimated takeover speed. The speed for straight single-lane roads like I was on is likely pretty darn accurate. However, the more lanes you get, or if you have overpasses or such, then the speeds might be impacted by math angles a bit.
Could remote start of a camera be done as an IQ app for any camera that supports the ANT+ Ctrl profile? If car approaching, tun on VIRB camera for preset time period or until car exits radar. Getting the estimated approach speed as a data field in the VIRB software would also be an interesting addition.
I would pay for this, especially if everything was integrated: passing speed, distance, video. And I would buy new devices to make it work (I currently still use a Garmin 920xt for rides and a crib sheet if it is a new route, and do not have a camera.)
I have exactly same issue, half of page PHP errors. I can see map with passing cars, but speed is not real, there are just random speed values 11,22,43,54kph. Have Edge1030 and 1st gen of Varia Radar.
When you sync your ride later any TraceTrap data for offenders is uploaded to a public safety site listing location, speed data, and a snapshot showing vehicle with license plate (no need for full video segment but you could link to it if downloaded).
The site would be used to identify offenders and rank which roads are more dangerous. Law enforcement would be encouraged to monitor the site (API provided). Depending on local laws offenders could receive automatic tickets/fines by mail tied to license plate numbers. Repeat offenders would get jail time. ?
Just in case you were not aware, the dev has now managed to incorporate the speed so that it shows within Garmin Connect app / website rather than having to import to his site to analyse this. Much impressed. Thanks, Ray, for highlighting this app and many thanks to the Dev.
Modifying the export resolution will speed up the rendering of the final video significantly. For video analysis, often a resolution of 1280x720 is adequate. We suggest experimenting with different resolutions.
The gauge update rate can make a difference to the rendering speed of the video. For data captured by the Protern.io Sensor, we don't recommend going below Half as it will remove the benefit of capturing high-speed data.
Everything works well generally; however I'm getting a little frustrated with the TortoiseSVN file overlays (the little icons that show locked or modified statuses on the files in Explorer). Sometimes these overlays seem to update instantly after a commit or lock, sometimes they only change after a couple of refreshes, and sometimes they show completely the wrong status until the next reboot.
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