Skip to main content

Robust Extraction2

Robust Extraction, rewrited

Changes w.r.t. Version 1

Cluster Intersections

  • Original: mean intersection of the cartesian product of lines in both clusters
  • New: intersection of a fitted line by cluster (regressed on all endpoints)

ST-Invariant Matching Penalization

Given the number of matched points $N$ and number of minimum points $n_{min}$, the penalization is defined as $1/(N-n_{min}+1)^e$, where $e$ is the "penalization exponent" parameter:

Original New
$e=0.5$ $e=5$
Original New

Put simply, we basically force matching as many points as possible that don't incur a huge cost.

Metadata

Release files for robust-extraction2 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for robust-extraction2 0.2.0
File Size Uploaded
robust_extraction2-0.2.0.tar.gz 18.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for robust-extraction2 0.2.0
File Interpreter ABI Platform
robust_extraction2-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 48.4 kB

Release files / robust_extraction2-0.2.0.tar.gz

Download URL robust_extraction2-0.2.0.tar.gz
Size 18.7 kB
Tags Source
SHA-256 checksum
How to use checksums
b65bd5bcf85285d371a2986effb86a66fe09d57bb45bcd4b1f2985c7c3071b41
BLAKE2b-256 checksum
How to use checksums
f15a519ce0b25826ac6e37f0ed49b0ecb0bcc921c65bf58e2b50dad0388a5046
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.9

Release files / robust_extraction2-0.2.0-py3-none-any.whl

Download URL robust_extraction2-0.2.0-py3-none-any.whl
Size 29.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
edb98ef6d1e6403a126a8e58ec215523856965fb7edc3a08918d4174a3ecdf67
BLAKE2b-256 checksum
How to use checksums
463a6520c96fc1fe8627ca29d7d7cd15409422998b37b8ce6f270f72accf5cf8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.9

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.16

2 release files

0.1.15

2 release files

0.1.14

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page