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This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.

Python 6.72% CSS 0.32% HTML 1.59% Jupyter Notebook 91.37%
opencv flask object-detection mask-rcnn coco object-detection-model object-detection-api tensorflow opencv4 cv2

flask-app-object-detection's Introduction

Flask App for Object Detection using OpenCV4.4.0 and TensorFlow2

How to Run the App?

  • Clone/Download this folder.

  • cd Flask-ObjDetect

  • Run pip install -r requirements.txt

  • Then run python app.py

  • Now click on the localhost link(http://127.0.0.1:5000/) as displayed in in your cmd upon running this app.py file. You could also copy-paste the link in your browser.

  • Uplaod an image and click on Submit button. You will be displayed the Detected Objects.

To better understand the code of Object Detection step-wise, it is highly recommended to visit the Object_Detection_and_Segmentation_with_OpenCV_and_Tensorflow_mask_RCNN.ipynb Jupyter notebook.

flask-app-object-detection's People

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