Jiashu Xu

Results 10 issues of Jiashu Xu

Hello, I would like to use dust for my remote server (without root). I unzipped the executable from [release](https://github.com/bootandy/dust/releases/tag/v0.8.1). But when I ran it throwed ``` dust: /lib64/libc.so.6: version `GLIBC_2.18'...

Hi, I would like to thank you for sharing the code with us. I have a question, I have downloaded MCG Proposals for PASCAL VOC 2012 in [here]( https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/mcg/#results) and...

**Acknowledge the following** - [x] I carefully read and followed the [Getting Started](https://github.com/alshedivat/al-folio#getting-started) guide. - [x] I read through [FAQ](https://github.com/alshedivat/al-folio#faq) and searched through the [past issues](https://github.com/alshedivat/al-folio/issues), none of which addressed...

bug

Hi, I am using DALI on NTU RGB D dataset, and for some reasons, my code hangs when reading the avi files, similar to @3312. In @3312 it seems that...

help wanted
Video

Hi, my workflow is to have 1 `.bean` file for each year, for example I would have `2021.bean` and `2022.bean`. And in the `2021.bean` I have pushed a tag `pushtag...

Hi, for some reason the number listed is misaligned like this ![image](https://user-images.githubusercontent.com/37067883/182502887-0eae4720-b1b3-44c4-b151-c7d6668e8a20.png) I wonder what might be the issue. Thanks!

Hi, really nice work here! I really appreciate it that you bring llama inference to consumer grade GPUs!! There is an ongoing project https://github.com/openlm-research/open_llama which seems to have a lot...

Hi, **Is your feature request related to a problem? Please describe.** `\mathbb` doesn't work for numbers like `\mathbb{1}`, but there are other packages that support numbers, like `\mathbbm{1}` or `\mathds{1}`....

enhancement

Hello, I've been using your plugin for a while and I would like to thank you for this awesome work!! It makes logseq much more eye-pleasing to work with! I...

Hello, first of all, thank you for this awesome works! I am following the instruction in the README for SegAutoMaskPredictor, specifically this one: ``` # For video results = SegAutoMaskPredictor().video_predict(...