Update! (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

• for detect: "stock_market_detect.py" file
• Example video below

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

Yolov7-Object-Counter

Object Counting with the newest yolov7

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:

References

• https://github.com/WongKinYiu/yolov7