Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
millimacro
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
4 ms
·
1.
▲
by
millimacro
9mo ago
This is very cool! I wonder - does this also work reasonably fast on older hardware?
2.
▲
Edinburgh (UK) has 2,500 bus stops and they are typically 323M apart
(lellep.xyz)
2 points
by
millimacro
1y ago
|
0 comments
3.
▲
1,600 days of a failed hobby data science project
(lellep.xyz)
158 points
by
millimacro
2y ago
|
70 comments
4.
▲
Edinburgh Pothole Logger: A FOSS App to Log Potholes in Edinburgh, UK
(lellep.xyz)
2 points
by
millimacro
2y ago
|
0 comments
5.
▲
by
millimacro
2y ago
Cheers everyone for your lovely engagement!! <3
6.
▲
by
millimacro
2y ago
I was wondering, how do you capture handwritten notes using Xournal and Xournal++? Using some sort of tablet maybe? Great to hear that you found out about Xournal++! It's really the power of open-source that you own your own handwritte
7.
▲
by
millimacro
2y ago
"HTR is an oasis in this global desert of manual digitization" - hach, this is such a great phrasing! <3 Xournal++ is a great project that features a bunch of really great developers who dedicate a lot of time to it. I am not m
8.
▲
by
millimacro
2y ago
Yes, you're right, stroke-order-aware HWR are hard to find. One reason for that is the lack of good datasets for machine learning model training! As such, my stroke-order-aware attempt over at https://github.com/PellelN
9.
▲
by
millimacro
2y ago
This is a great observation! Currently, the machine learning model only supports offline HTR (i.e. using images) but online HTR (i.e. using pen time series data) is in the making, see here: https://github.com/PellelNitram&#x
10.
▲
by
millimacro
2y ago
Yes, that's totally correct! The current version of the plugin supports only so called "offline" HTR, which operates on images. This is ultimately determined by the underlying machine learning model. I have developed another
11.
▲
by
millimacro
2y ago
I totally agree with you! The HTR feature in Xournal++ does not require you to scan anything though. You just write handwritten notes in Xournal++ as always and upon saving with the plugin, the resulting PDF is searchable (the handwritten t
12.
▲
by
millimacro
2y ago
Yes, that's what I think as well!
13.
▲
by
millimacro
2y ago
Oh that's so exciting to hear! Please do let me know if you need help when trying to use the plugin! I am happy to help you until the plugin works for you.
14.
▲
by
millimacro
2y ago
I decompose my answer in three prime time metrics below and obtain that the plugin is at 6.4/10. These are the decomposed prime time metrics: 1. The plugin itself is at 10/10; e.g. I use it in production myself. 2. The prediction
15.
▲
Handwritten Text Recognition for Xournal++ Using Deep Learning
(github.com)
37 points
by
millimacro
2y ago
|
19 comments
16.
▲
Pi Stack: FOSS Stackable Raspberry Pi Housing
(lellep.xyz)
1 points
by
millimacro
2y ago
|
0 comments