semvec/pypi-packages huggingface dataset:
aflevering3-tree 0.0.5
A collection of functions from Aflevering 3
License: MIT

This is a collection of functions from an assigment, that i could not be bothered to have on the top of my new project.
They include the functions:

"gen_labels_letters(n)", this generates a List of n length, of max length 24, of letters from A to Z

"gen_labels(n)", this generates a list of n length with names of "L1, L2, ... , Ln"

"permute(L)", permutes a given list L

"pairs(L)", pairs elements of a given list L, with the condition that a < b

"canonical_triplets(A, B)", Makes pairs of with all combinations from A and B, so [(A[1], B[1], (A[1], B[2]), ... , (A[n], B[1]), ... , (A[n], B[n])]

"anchored_triplets(L, R)", takes "canonical_triplets(L, R) + canonical_triplets(R, L)" and outputs that.

Change Log
===========


0.0.1 (24/02/2022)
-------------------
- First version


0.0.2 (24/02/2022)
-------------------
- added import random to hopefully make a function work


0.0.3 (24/02/2022)
------------------
- added 'import string' to make another function work :)))))
- added more the README

0.0.4 (24/02/2022)
------------------
- Improved the pairs function, so L1 > L10
- Removed unnecessary code

0.0.5 (24/02/22)
-----------------
- removed some test code i accidentally uploaded, so everytime this was imported it was spit out a list
doorpost-detector 0.1.0
Detect doorposts from pointclouds
License: MIT

# Doorpost Detector
This package contains a pointcloud processing pipeline to estimate the poses of doorposts.


## Quick start
`pip install -r requirements.txt`

`pip install -e .`


## To obtain doorpost poses from cropped pointcloud
```python
import doorpost_detector.api as dpd

response = dpd.doorpost_pose_from_cropped_pointcloud_usecase(points)

```


## To obtain doorpost poses from pointcloud
```python
import doorpost_detector.api as dpd

response = dpd.doorpost_pose_from_pointcloud_and_door_location_estimate_usecase(points, door_location)

```


## Response format
```python
@dataclass
class Response:
    success: bool
    poses: tuple[float, float, float, float] # x1,y1,x2,y2
    certainty: tuple[float, float]
```