Q-engineering

I'm sorry. Indeed I made the image with 4 GB Jetson Nano. Please follow the instruction in the website to upgrade manually.

@lgkimjy, Just flashed a fresh SD card with `JetsonNanoUb20_2.img.xz` downloaded from [Sync](https://ln5.sync.com/dl/741c98fe0/x8kxkhgs-cgmzk7rf-n4m7pyw8-h64tzbv5). It worked flawlessly. No problems. First the logo screen, then some terminal commands and finally the 'regular' Nvidia...

With a tool like GParted you can enlarge your partitions on the SD card.

It is very hard to give the right solution to your issue, because this behavior isn't happening in the original code. Check these points: 1) At line 317 in the...

Dear @fadsamo , Can you explain me in more detail what precisely you want? The app stores all the faces in a 'database' located at ./img/ folder. You may manipulate...

Dear @fadsamo, Now it's clear to me want you trying to build. However, it is not something you can fix in a few lines of code. In fact, it is...

Dear @fadsamo, It has to do with the image buffering in OpenCV. I've use the 'simple' way of grabbing a live video, the cap(0) method. Better to use GStreamer. It...

As soon as the face detection recognize a face in front of the camera, it will test if the face is in the all ready made database. If not, it...

I'm afraid you have a common OpenCV problem. First, determine the cause of your latency. Do you have a fluid video (with a constant -low- latency) when you're showing the...

@starlord263 Start debugging. Do you have live video when the whole analyse algorithm is commented out? Once you have a video working, try to detect only the faces. Still comment...