Metadata-Version: 2.1
Name: deffcode
Version: 0.1.0
Summary: Performant Pythonic FFmpeg Decoder with easy to adapt flexible API.
Home-page: https://abhitronix.github.io/deffcode
Author: Abhishek Thakur
Author-email: abhi.una12@gmail.com
License: Apache License 2.0
Project-URL: Bug Reports, https://github.com/abhiTronix/deffcode/issues
Project-URL: Funding, https://ko-fi.com/W7W8WTYO
Project-URL: Source, https://github.com/abhiTronix/deffcode
Project-URL: Documentation, https://abhitronix.github.io/deffcode
Project-URL: Changelog, https://abhitronix.github.io/deffcode/latest/changelog/
Keywords: FFmpeg,Video Processing,Computer Vision
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Multimedia :: Video :: Conversion
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

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deffcode library source-code is deployed under the Apache 2.0 License:

Copyright (c) 2021 Abhishek Thakur(@abhiTronix) <abhi.una12@gmail.com>

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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<h1 align="center">
  <i>de</i><b>FF</b><i>code</i>
</h1>
<p align="center">Performant ⚡️ Pythonic FFmpeg Decoder with easy to adapt flexible API 🐍.</p>
<h2 align="center">
</h2>


&nbsp;

**deffcode** is a Performant and Robust FFmpeg Pythonic Wrapper that aimed at decoding any stream that you throw at it. Requiring minimal efforts, deffcode provides an easy-to-adapt flexible API to read a wide range of streams, and can ingest video using any decoder(even hardware ones) into any pixel format ffmpeg supports. It also provides pin-point accurate seeking for extracting only a specific part of your input as required. 

It is cross-platform, runs on Python 3.7+, and is easy to install.

&nbsp;


## Examples

### Basic Example

```python
# import the necessary packages
from deffcode import FFdecoder

# initialize and formulate the decoder
decoder = FFdecoder("foo.mp4").formulate()

# grab the RGB24(default) frame from 
# the decoder(generator)
for frame in decoder.generateFrame():
	print(frame.shape)

# terminate the decoder
decoder.terminate()
```

The output:

```sh
(720, 1280, 3)
(720, 1280, 3)
     ...
     ...
     ...
(720, 1280, 3)
```

### Basic OpenCV Example

```python
# import the necessary packages
from deffcode import FFdecoder
import cv2

# initialize and formulate the decoder for BGR24 output
decoder = FFdecoder("foo.mp4", frame_format="bgr24").formulate()

# loop over frames
while True:
    # grab the BGR24 frame from the decoder
    frame = next(decoder.generateFrame(), None)

    # check if frame is None
    if frame is None:
        break
    
    # Show output window
    cv2.imshow("Output", frame)

    # check for 'q' key if pressed
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break

# close output window
cv2.destroyAllWindows()
# terminate the decoder
decoder.terminate()
```

### Basic PIL Example

```python
# import the necessary packages
from deffcode import FFdecoder
from PIL import Image

# define the FFmpeg parameter to seek 
# to 00:00:01 in time and get one single frame
extraparams = {"-ss": "00:00:01", "-frames:v":1}

# initialize and formulate the decode
decoder = FFdecoder("foo.mp4", **extraparams).formulate()

# grab the RGB24(default) frame from the decoder
frame = next(decoder.generateFrame(), None)

# check if frame is None
if not(frame is None)
    # Convert and Show output window
    im = Image.fromarray(frame)
    im.show()

# terminate the decoder
decoder.terminate()
```

### Basic Matplotlib Example

```python
# import the necessary packages
from deffcode import FFdecoder
import matplotlib.pyplot as plt

# define the FFmpeg parameter to seek 
# to 00:00:02.01 in time and get one single frame
extraparams = {"-ss": "00:00:02.01", "-frames:v":1}

# initialize and formulate the decode for Grayscale output
decoder = FFdecoder("foo.mp4", frame_format="gray", **extraparams).formulate()

# grab single Grayscale frame from the decoder
frame = next(decoder.generateFrame(), None)

# Show output window
plt.imshow(frame, cmap='gray', vmin=0, vmax=255)
plt.show()

# terminate the decoder
decoder.terminate()
```

&nbsp;

## Dependencies

Minimal requirements:
- Python 3.7+
- FFmpeg (See [this](https://abhitronix.github.io/vidgear/latest/gears/writegear/compression/advanced/ffmpeg_install/#ffmpeg-installation-instructions) for its installation)
- NumPy >=1.20.0
- requests
- colorlog
- tqdm

:bulb: These requirements are installed automatically(except FFmpeg).


&nbsp;

## Installation


```sh
# Install latest stable release
pip install -U deffcode
```

**And if you prefer to install deffcode directly from the repository:**

```sh
# Install latest stable release
pip install git+git://github.com/abhiTronix/deffcode@master#egg=deffcode
```

**Or you can also download its wheel (`.whl`) package from our repository's [releases](https://github.com/abhiTronix/deffcode/releases) section, and thereby can be installed as follows:**

```sh
# Install latest stable release
pip install deffcode-0.1.0-py3-none-any.whl
```

&nbsp;

----

<p align="center"><i><b>deffcode</b> is <a href="https://github.com/abhiTronix/deffcode/blob/master/LICENSE.md">Apache 2.0 Licensed</a> code.<br/>Designed & crafted with care.</i></br>⭐️</p>

