Flask App for Object Detection using OpenCV4.4.0 and TensorFlow2

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.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
static		static
templates		templates
Object_Detection_and_Segmentation_with_OpenCV_and_Tensorflow_mask_RCNN.ipynb		Object_Detection_and_Segmentation_with_OpenCV_and_Tensorflow_mask_RCNN.ipynb
README.md		README.md
app.py		app.py
app_helper.py		app_helper.py
desktop.ini		desktop.ini
mask_rcnn_frozen_inference_graph.pb		mask_rcnn_frozen_inference_graph.pb
mask_rcnn_inception_v2_coco_2018_01_28.pbtxt		mask_rcnn_inception_v2_coco_2018_01_28.pbtxt
object_detection_and_segmentation_with_opencv_and_tensorflow_mask_rcnn.py		object_detection_and_segmentation_with_opencv_and_tensorflow_mask_rcnn.py
object_detection_classes_coco.txt		object_detection_classes_coco.txt
requirements		requirements

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