https://github.com/muratali016/yolov7-object-counter-custom-funcitons
Object Counting with the newest yolov7
https://github.com/muratali016/yolov7-object-counter-custom-funcitons
artificial-intelligence deep-learning machine-learning yolov7
Last synced: 7 months ago
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Object Counting with the newest yolov7
- Host: GitHub
- URL: https://github.com/muratali016/yolov7-object-counter-custom-funcitons
- Owner: muratali016
- License: apache-2.0
- Created: 2022-08-27T14:25:24.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-03T20:09:18.000Z (almost 3 years ago)
- Last Synced: 2023-11-07T19:24:30.152Z (almost 2 years ago)
- Topics: artificial-intelligence, deep-learning, machine-learning, yolov7
- Language: Jupyter Notebook
- Homepage:
- Size: 1.36 MB
- Stars: 110
- Watchers: 7
- Forks: 27
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Yolov7-Object-Counter and custom functions
* **Object Counting and custom functions with the newest yolov7**
* **Crop the bounding boxes**
https://user-images.githubusercontent.com/77502485/196060371-e8d6b16f-b9ce-4f2f-bd4e-74bd68ce142e.mp4
### Ready to use tracking Google Colab file: https://colab.research.google.com/drive/1RK1IgQx6Fr7D2BwgCQJiUiZPclj69Myv?usp=sharing
### Update 1 (9/21/2022) a new model added for stock market predicion. Model file:https://drive.google.com/file/d/1_ud8ldVz1mnRU_Z3ygXEm0kWSjgSeOEW/view?usp=sharing
* To detect: "stock_market_detect.py" file
* Example video is below
### Update 2 (9/26/2022) a new file added for saving the images of bounding boxes file name: "save_bounding_boxes_images.py"
* Example photo is below
### Update 3 (10/17/2022) a new file added for tracking and counting them. File name: "TRACK-SOURCE.py"
https://user-images.githubusercontent.com/77502485/188005594-19cca6dd-6289-4cf0-94f2-d1c519d64949.mp4
### Please read first "README" before browsing the code
### Ready-to-use Google Colab file exists. you can copy this file and run it on your colab. File: https://colab.research.google.com/drive/1Bezq6IpAraT8Ee0v8flEJco6wsLn0T3I?usp=sharing
* There are steps for applying object counter on images and videos
**Features**
* Count all objetcs by classes and works perfetcly on every image or on a video
* Code can run on Both (CPU & GPU)
* Video/WebCam/External Camera/IP Stream Supported
## It is super easy to run
* **We are going to copy offical yolov7 github page and just add "detect_and_count.py" file. That is all**
* **When you use Google Colab for codes, it will be way easier than working on the local computer**
## Steps to run Code
* clone the repository:
* ```git clone https://github.com/WongKinYiu/yolov7 ```
* ```%cd yolov7```
* install yolov7 model
* ``` !wget "https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt" ```
### Upgrade pip with mentioned command below.
``` pip install --upgrade pip ```
### Install requirements with mentioned command below.
``` pip install -r requirements.txt ```
### Using counter
``` !python detect_and_count.py --weights /content/yolov7/yolov7.pt --conf 0.1 --source /content/yolov7/inference/images ```
### Results!
### Stock market detection video:
https://user-images.githubusercontent.com/77502485/191525236-86268939-823f-4852-9c7d-cf7d96a9da78.mp4
# Saving the images of bounding boxes
### References
* https://github.com/WongKinYiu/yolov7