# CommissarMa/Crowd\_counting\_from\_scratch

<https://repo.masters-masters.com/en/repos/CommissarMa/Crowd_counting_from_scratch>

[Home](https://repo.masters-masters.com/en) › [CommissarMa](https://repo.masters-masters.com/en/owners/CommissarMa) › [Crowd\_counting\_from\_scratch](https://repo.masters-masters.com/en/repos/CommissarMa/Crowd_counting_from_scratch)

CommissarMa/Crowd\_counting\_from\_scratch has 187 stars on GitHub. Its RepoMasters card: Prototype tier. This is an overview and tutorial about crowd counting…

| Field | Value |
| --- | --- |
| Owner | [CommissarMa](https://repo.masters-masters.com/en/owners/CommissarMa) |
| Stars | 187 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | crowd-counting, deep-learning, computer-vision |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CommissarMa/Crowd\_counting\_from\_scratch](https://github.com/CommissarMa/Crowd_counting_from_scratch) |

## Repository

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [Loopayeh/pkg-viewer · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/Loopayeh/pkg-viewer)
- [lightorigins/Light-O1 · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/lightorigins/Light-O1)
- [yuatemycat/SuperGhidra · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/yuatemycat/SuperGhidra)
- [openzoom/deepzoom.py · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/openzoom/deepzoom.py)
- [zacharyvoase/urlobject · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/zacharyvoase/urlobject)
- [navdeep-G/showme · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/navdeep-G/showme)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.