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Simple Persian Object Detection Web app based on flask framework, OpenCV and Darknet Yolov3.

License: MIT License

Python 80.98% HTML 19.02%
webservice yolov3 flask-framework darknet

persian_objectdetection_webservice's Introduction

Persian_ObjectDetection_WebService

Simple Persian Object Detection Web app based on flask framework and OpenCV.

Prerequisites:

1 - Python

2 - OpenCV

3 - Flask

4 - numpy

5 - python-bidi

6 - arabic_reshaper

7 - pillow

How to Use:

1 - Clone the repo.

2 - Install the required libraries.

3 - Download Yolov3 Weights and put them in the main directory.

Yolov3(416) https://pjreddie.com/media/files/yolov3.weights

Look up https://pjreddie.com/darknet/yolo/ for more info on different versions of yolo.

3 - Run Persian_ObjectDetection_WebService.py.

4 - Refer to the application root to get started.

5 - For deployment purposes refer to flask documentation : https://flask.palletsprojects.com/en/1.1.x/deploying/

persian_objectdetection_webservice's People

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persian_objectdetection_webservice's Issues

no bbox

hi,
python Persian_ObjectDetection_WService.py

The output picture is still the original picture,no bbox.How to solve this problem?

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