Skip to main content

AVI-R Package

PyPI version Downloads Publish to PyPI (formerly DIVA IO)

Author: Lijun Yu

Email: lijun@lj-y.com

A robust reader for AVI video files. Originally designed for the MEVA dataset to replace OpenCV's cv2.VideoCapture in the DIVA project.

Installation

pip install avi-r

Usage

A robust video loader that deals with missing frames in AVI files. In AVI-R, missing frames are automatically filled with the previous available frame, or the next available frame for the beginning of a video. This ensures you are getting the correct frame ids and valid frame contents all the time.

In comparison, OpenCV's cv2.VideoCapture would skip missing frames without warning, leading to wrong frame ids. Pims would return empty frames also without warning. And decord would crash.

Iterator Interface

from avi_r import AVIReader
video = AVIReader(video_path) # or AVIReader(video_name, parent_dir)
for frame in video:
    # frame is a avi_r.frame.Frame object
    image = frame.numpy()
    # image is an uint8 array in a shape of (height, width, channel[BGR])
    # ... Do something with the image
video.close() # Release internal buffers

Replace cv2.VideoCapture

To replace the cv2.VideoCapture objects in legacy codes, simply change from

import cv2
cap = cv2.VideoCapture(video_path)

to

from avi_r import AVIReader
cap = AVIReader(video_path)

AVIReader.read follows the schema of cv2.VideoCapture.read but automatically inserts the missing frames while reading the video. AVIReader.release also follows cv2.VideoCapture.release.

Random Access

Random access of a frame requires decoding from the nearest key frame (approximately every 60 frames for MEVA). Averagely, this introduces a constant overhead of 0.1 seconds. However, when the nearest key frame is missing, AVIReader will try to search a valid one till the beginning.

start_frame_id = 1500
length = 100
video.seek(start_frame_id)
for frame in video.get_iter(length):
    image = frame.numpy()
    # ... Do something with the image
video.close()

Video Properties

video.num_frames # cap.get(cv2.CAP_PROP_FRAME_COUNT)
video.frame_rate # cap.get(cv2.CAP_PROP_FPS)
video.height # cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
video.width # cap.get(cv2.CAP_PROP_FRAME_WIDTH)

Other Interfaces

For other usages, please see the comments in reader.py.

Speed

See speed.md.

Version History

See version.md.

Release files for avi-r 1.3.9

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

Source distribution (sdist)

Source distribution for avi-r 1.3.9
File Size Uploaded
avi-r-1.3.9.tar.gz 6.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for avi-r 1.3.9
File Interpreter ABI Platform
avi_r-1.3.9-py3-none-any.whl Python 3 none any Details

Total release size: 26.1 kB

Release files / avi-r-1.3.9.tar.gz

Download URL avi-r-1.3.9.tar.gz
Size 6.9 kB
Tags Source
SHA-256 checksum
How to use checksums
abde61b2467671130739b0fd4c8b645b96550fed0cea789faa713fa4889487ad
BLAKE2b-256 checksum
How to use checksums
91a4bd49c5edc60902765b1212aba0ba57c65f7eac6368bf3408c7ddb5b9426f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

Release files / avi_r-1.3.9-py3-none-any.whl

Download URL avi_r-1.3.9-py3-none-any.whl
Size 19.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ecf3ca95602847a23d447e8ac5e3921ebe3c4e6e4e1c9c8bc3a1bdc040f8f292
BLAKE2b-256 checksum
How to use checksums
70991219eecdab23cbac6bf5f554d900e4762623bf551e2fd40ded2f93dd1195
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

Release history Release notifications | RSS feed

This release

1.3.9 This release

2 release files

1.3.8

2 release files

1.3.7

2 release files

1.3.6

2 release files

1.3.5

2 release files

1.3.4

2 release files

1.3.3

2 release files

1.3.2

2 release files

1.3.1

2 release files

1.3

2 release files

1.2.1

2 release files

1.2

2 release files

1.1.1

2 release files

1.1

2 release files

1.0.1

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