Jan Kaiser

For what it's worth, here are inference tests using the default configuration on Jetson Nano 2GB: **SCENEFLOW** ```python CUDA_VISIBLE_DEVICES=0 python3 run_binary_depth_estimation.py \ --arch bi3dnet_binary_depth \ --bi3dnet_featnet_arch featextractnetspp \ --bi3dnet_featnethr_arch featextractnethr...

I don't have access to any other Nvidia GPU besides the Jetson Nano, but I tried to run Bi3D in CPU-only mode on my Macbook. I was able to generate...

Hi, I cannot comment on the Docker approach, as I used Conda environment for my tests.

I am putting up a $100 bounty for anyone providing a PR that makes this work on macOS 12.3 or later on Apple Silicon Macs. With Frida still not working...

I know this is an old issue, but in case anyone encounters the same problem in 2022, the solution that worked for me was to get the token using [Xiaomi-cloud-tokens-extractor](https://github.com/PiotrMachowski/Xiaomi-cloud-tokens-extractor)...

Thanks, depending on how much time I find for this, I might just implement your suggested workarounds rather than doing a proper Python3 rewrite.

Thank you, I will try to add these to the next release.

Also being able to pass commands to iSH via its own URL scheme would be super awesome as it would allow integration of iSH in Shortcuts automations!

You can turn trackId into bundleId by chaining few commands like this: `echo 899247664 | awk '{print "http://itunes.apple.com/lookup?id="$1}' | xargs curl -s | python3 -c "import sys, json; print(str(json.load(sys.stdin)['results'][0]['bundleId']))"` To...

Apologies for hijacking the issue, but I am getting the same error as Andy: ``` Jans-iPhone:~# img build -d -t hello . DEBU[0000] checking runc disableEmbeddedRunc=false state=/root/.local/share/img DEBU[0000] runc found...