semvec/pypi-packages huggingface dataset:
tf-efficientdet-lite2 0.10
Object detection with tensorflow
License: MIT
Keywords: tensorflow,object detection


# Object detection with tensorflow

<img src="https://github.com/hansalemaos/screenshots/raw/main/tensorflowscreen.png"/>

```python
$pip install tf-efficientdet-lite2
from tf_efficientdet_lite2 import TfEfficientdetLite2
tflo= TfEfficientdetLite2(sevenzip_path = r"C:\Program Files\7-Zip\7z.exe",set_visible_devices_0 = True) #works without 7-zip as well
tflo.detect(r'https://images.pexels.com/photos/14139354/pexels-photo-14139354.jpeg?cs=srgb&dl=pexels-olena-bohovyk-14139354.jpg&fm=jpg&_gl=1*19indnx*_ga*ODM0MDU4MTIyLjE2NjgzMzEwODk.*_ga_8JE65Q40S6*MTY2ODMzMTA4OS4xLjEuMTY2ODMzMTA5My4wLjAuMA..',draw_results=True,draw_result_min_score=.3)
tflo.get_df()

        aa_class  aa_x_start  aa_y_start  aa_x_end  aa_y_end   aa_conf
0         person         449         124       870       611  0.915973
1            cup         916         521      1022       654  0.642683
2            cup         652         360       732       469  0.561634
3   dining table         829          21      1200       793  0.545763
4          chair         926           1      1198       176  0.235585
..           ...         ...         ...       ...       ...       ...
95         chair         988          13      1188       253  0.012212
96           cup         857         491       947       616  0.011954
97         chair        1149         728      1196       793  0.011811
98         spoon         651         371       666       409  0.011780
99         spoon        1013         290      1062       358  0.011758


tflo.get_drawn_results()

```
plottable 0.1.5
Beautifully customized tables with matplotlib
License: MIT
Requires Python: >=3.7

## Beautiful tables in matplotlib.

plottable is a Python library for plotting beautifully customized, presentation ready tables in Matplotlib.

To learn about its functionality, have a look at the [documentation](https://plottable.readthedocs.io/en/latest/).

### Quickstart

#### Installation

```
pip install plottable
```

#### A Basic Example
```python
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

from plottable import Table

d = pd.DataFrame(np.random.random((5, 5)), columns=["A", "B", "C", "D", "E"]).round(2)
fig, ax = plt.subplots(figsize=(6, 5))
tab = Table(d)

plt.show()
```

<img src="docs/example_notebooks/images/basic_table.png" width="300">

### Redoing the [Reactable 2019 Women's World Cup Predictions Visualization](https://glin.github.io/reactable/articles/womens-world-cup/womens-world-cup.html)

You can find the [notebook here](https://github.com/znstrider/plottable/blob/master/docs/example_notebooks/wwc_example.ipynb)

<img src="docs/example_notebooks/images/wwc_table.png">

### Styling A Table

#### There are three main ways to customize a table:

##### 1) [By supplying keywords to the Table](https://plottable.readthedocs.io/en/latest/notebooks/table.html)

##### 2) [Providing a ColumnDefinition for each column you want to style](https://plottable.readthedocs.io/en/latest/notebooks/column_definition.html)

##### 3) [Accessing a tables rows or columns](https://plottable.readthedocs.io/en/latest/notebooks/rows_and_columns.html)

### Contributing

##### *Contributors are very welcome to this project.*  

Please take a look at the [Contributor Guide](contributing.rst)


### Credits

plottable is built for the lack of good table packages in the python ecosystem.
It draws inspiration from R packages [gt](https://github.com/rstudio/gt) and [reactable](https://github.com/glin/reactable), from blog posts about creating tables in matplotlib [Tim Bayer: How to create custom tables](https://matplotlib.org/matplotblog/posts/how-to-create-custom-tables/) and [Son of a corner: Beautiful Tables in Matplotlib, a Tutorial](https://www.sonofacorner.com/beautiful-tables/) and from matplotlibs own table module.