CrowdCounting Made Easy 🤓 with CNN-based Cascaded Multi-task

This is a packaging implementation of the paper CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting for single image crowd counting which is accepted at AVSS 2017

The package is compatible with all operating systems, provides a staggering fast and accurate prediction. It achieves a min of 20 fps on a 6 core intel cpu.

Installation

pip install ezcrowdcount

Usage

To run inference on your favorite image/video simply run the following on your terminal/console:

crowdcount --mode video --path /path/to/video

"""
mode (str): Whether to run prediction on video or image
path (str | int): Path to video or image. It can be an index to a camera feed, or a URL also. (Default = 0).
"""

The inference will run on your GPU (if available), and will be viewed right in front of you 👀 Also, the number of people during each frame will be printed on your console/terminal.

Demo

Input Image:

Input Image

Result Image:

Result Image

Number of people: 165.8 🎉

Metadata

Release files for ezcrowdcount 1.0.0

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Source distribution (sdist)

Source distribution for ezcrowdcount 1.0.0
File	Size	Uploaded	Provenance	Actions
ezcrowdcount-1.0.0.tar.gz	8.1 kB	Sep 24, 2023	Without provenance	Details for ezcrowdcount-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ezcrowdcount 1.0.0
File	Interpreter	ABI	Platform	Actions Reset
ezcrowdcount-1.0.0-py3-none-any.whl 8.5 kB Sep 24, 2023 Without provenance	Python 3	none	any	Details for ezcrowdcount-1.0.0-py3-none-any.whl

Total release size: 16.7 kB

Release files / ezcrowdcount-1.0.0.tar.gz

Download URL	ezcrowdcount-1.0.0.tar.gz
Size	8.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`5f88ff7d7d8690be9f0ca5995407370b0e7ddd2c439c57a119de1ca71c14b1d6`
BLAKE2b-256 checksum How to use checksums	`163a5ddeb232b2cb18eeb16424774144b5b5244398c67f24152ffdd9d863dd86`
Upload date	Sep 24, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.18`

Release files / ezcrowdcount-1.0.0-py3-none-any.whl

Download URL	ezcrowdcount-1.0.0-py3-none-any.whl
Size	8.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`54b05092dee4e33b37f7a2a34ba76bedc2ed0d53e37ff25faefcdf61aef137bf`
BLAKE2b-256 checksum How to use checksums	`f8ab27f1f83183cc2f7a3c2762860a56933043a07c3ca93351b196c53026a254`
Upload date	Sep 24, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.18`

Security for ezcrowdcount 1.0.0

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1.0.0 This release

Sep 24, 2023 2 release files No provenance

ezcrowdcount 1.0.0