Michael said: “We could release this new version of gps4cam pro thanks to continuous interaction with our users. Many enhancements and gps4cam pro users’ suggestions have been integrated in this new release. I was really lucky because I was testing the new release before officially publishing it in the App Store”. Also, gps4cam desktop now fully supports XMP sidecar files.Ībout the new cloud capabilities, Michael Diguet (the creator of gps4cam and gps4cam pro) said: “This new feature is awesome, I recently lost my phone during a vacation in Spain and I was able to retrieve all my trips and also to continue recording new trips during the rest of the days before I got a new phone simply by borrowing my friend’s phone and accessing my data securely stored on the cloud. Now, a gps4cam user can decide to generate a GPS fix at a specific distance from the previous GPS fix instead of a time interval. Gps4cam 7.3 brings a brand new feature that has been frequently requested by users which is the ability to geofence. This cloud capability also lets users generate only one QRcode to photograph, no matter how long the trip was or the number of pictures a user has taken. All a user needs to do is to log into his gps4cam cloud account so the app can retrieve all his trips. No more worries about losing data when losing the phone or when getting a new one. ![]() From now on, all gps4cam pro users can link their app with their gps4cam cloud account so all trips can be stored on a secure cloud. The main new feature is related to the new cloud storage capability. Gps4cam pro 7.3 has been optimized for iOS 7. As of today, gps4cam and gps4cam pro have 100,000+ users worldwide. gps4cam pro is a very good alternative to expensive GPS modules that basically work with a single camera brand and drain the camera’s battery. The app works with all camera brands and does not require network or data, which is perfect when travelling abroad. Unlike other geotagging apps, there is no need to manually synchronize the iPhone’s time with the camera’s time. gps4cam pro offers its users an effective and easy-to-use solution to bring geotagging to every camera. If I always start shooting with the zenith, I could use that as a marker for when a set of panoramas start and end but that'd require me to shoot the same way every time, which isn't ideal.Paris, France – SYSMIGO announced today the availability of the new version of its world famous app for iOS, Mac (now available directly on the Mac App store) and Windows. Either that or, at an even more abstract level, I could use the camera's pitch/yaw/roll metadata and use that to figure out which way the camera is facing. ![]() If it's clear that I moved between a photo sets, I could use that to determine when one panorama started and ended. Another idea I had was to compare each photograph's GPS location. My current solutions are possibly to look into assigning a filename base so that, before every panorama, I could just quickly rename the next panorama something different. ![]() I'd like to do the same for an entire sequence of photographs for panoramas.įor example: If I shot a spherical panorama as 2 row, 4 column setup (10 bracketed sequences total, including the nadir and zenith photograph) but I shot enough photos for 10 or 15 panoramas earlier in the day, I want my automated code to still know when the panorama starts and ends even if some panoramas were spherical, others were cylinder, had varying brackets, etc.Ĭan photo sets and/or bracketed photo sets for each intended panorama be tracked somehow using Magic Lantern? The ideal solution would be to have a text file containing the names of each photo meant for every single panorama just like the ones you can save with the Advanced Bracket but I'm looking into any solution as long as it fulfills my needs. To that end, ML has been a huge boon because I can keep a log of what files are bracketed photographs using the optional output text file when shooting "Advanced Bracket" mode. ![]() I'm a python scripter that's currently trying to automate the process of HDR panoramas.
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