@mdegans Well, disk full :) And indeed, 30 GB have been consumed (df -H) I have no clue what happened. I repeated later, but abandoned in favour of @pythops solution (which works great). There are some minor problems (e.g. the ./flash.sh needed to be altered in order to meet my environment and there was a nameserver entry necessary in order to pass the apt updates at build time).
But the basic image is 1.4 GB. And it is blazing fast. I was using the 18.04 branch, because I feared incompatibilities of DS 5.x with 20.04.
Here what I get after installation
ubuntu@tegra-ubuntu:~/kms-test$ jetson_release -v
- NVIDIA Jetson Nano (Developer Kit Version)
* Jetpack 4.2.3 [L4T 32.2.3]
* NV Power Mode: MAXN - Type: 0
* jetson_stats.service: active
- Board info:
* Type: Nano (Developer Kit Version)
* SOC Family: tegra210 - ID:33
* Module: P3448-0000 - Board: P3449-0000
* Code Name: porg
* Boardids: 3448
* CUDA GPU architecture (ARCH_BIN): 5.3
* Serial Number: 1423519045845
* CUDA: NOT_INSTALLED
* cuDNN: NOT_INSTALLED
* TensorRT: NOT_INSTALLED
* Visionworks: NOT_INSTALLED
* OpenCV: 3.2.0 compiled CUDA: NO
* VPI: NOT_INSTALLED
* Vulkan: NOT_INSTALLED
* Version 3.1.1
* Works on Python 3.6.9
I really agree on your thumbs up to @pythops. Same here :) Well done.
Will report how it all behaves together with DS 5.1 or so later
PS: I always build via SSH.
PPS: And it wasn’t by far not my first OpenCV build :) I was astonished as well. Something went incredibly wrong over night