semvec/pypi-packages huggingface dataset:
mrkoll-scraper 0.3.4
mrkoll.se scraper & RSS generator
Requires Python: >=3.5

# mrkoll-scraper

Tool to scrape and generate an RSS feed from the incredibly creepy [mrkoll.se Swedish toplist](https://mrkoll.se/topplistor/sverigetoppen/). Each RSS entry represents the list as it looked at a given point in time, plus convenience links to search for the person's name on Duckduckgo, Flashback, and The Facebook.

## Installation

```shell
pip install mrkoll-scraper
```

## Usage

### CLI

```shell
mrks --scrape
```

Scrapes the current list and saves it to the [Shelve database](https://docs.python.org/3.7/library/shelve.html) `mrks.db` in the current working directory. This operation saves the raw scraped HTML as well as a generated [feedgen](https://feedgen.kiesow.be/) `FeedEntry`. The data is saved in a dictionary with the current date as key, so multiple scrapes during the same day doesn't save a new entry, they only update the existing one.

```shell
mrks --regenerate
```

Iterates through the saved lists and re-generates `FeedEntry`'s from the raw HTML, in case you've made some changes in the HTML template or so, and want them applied retroactively.

### WSGI

`mrks.wsgi` contains a beautifully simple WSGI application, that simply outputs an RSS feed based on the data currently saved.

### Cron

Crontab to run `--scrape` every Monday at midnight:

`0 0 * * 1 cd /home/robert/mrkoll-scraper && /home/robert/mrkoll-scraper/venv/bin/mrks -s`
alberto-h3ds 0.0.1
Python interface for H3DS dataset

# H3DS Dataset
This repository contains some utilities for using the H3DS dataset introduced in [H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction](https://arxiv.org/abs/2107.12512v1)

## Access
The H3DS dataset is available only for academic purposes. To request access, start by filling the [contact form](https://forms.gle/AH1hKXRdshWyk9e46) with your academic email and a license agreement will be sent back, which must be completed by a full-time academic staff member. Finally, you'll be provided with a `H3DS_ACCESS_TOKEN` to use the dataset.

## Setup
The simplest way to use the H3DS dataset is by installing it as a pip package:
```bash
pip install h3ds
```

In order to use the dataset, simply import the package in your python scripts
```python
from h3ds import H3DS

h3ds = H3DS(path='local/path/to/h3ds')
```

## Using H3DS
If it's the first time using H3DS, download the data (less than 500 Mb).
```python
h3ds.download(token=H3DS_ACCESS_TOKEN)
```

You can easily list the ids of the available scenes
```python
scenes = h3ds.scenes()
```

and load the data from a concrete scene as:
```python
mesh, images, masks, cameras = h3ds.load_scene(scene_id='1b2a8613401e42a8')
```