A simple, high level, easy-to-use open source Computer Vision library for Python.

Provided the below python packages are installed, deepvision is completely pip installable.

• OpenCV
• TensorFlow
• DeepVision

If you don't have them already installed, you can install through pip

pip install opencv-python tensorflow deepvision

or you can compile them from source if you want to enable optimizations for your specific hardware for better performance. If you are working with GPU, you can install tensorflow-gpu package through pip. Make sure you have the necessary Nvidia drivers installed preoperly (CUDA ToolKit, CuDNN etc).

If you are not sure, just go with the cpu-only tensorflow package.

You can also compile OpenCV from source to enable CUDA optimizations for Nvidia GPU.

Detecting common objects in the scene is enabled through a single function call utils.SlicedDetection(image,model="yolov4"). It will return the bounding box co-ordinates, corrensponding labels and confidence scores for the detected objects in the image.

from utils import utils
import cv2

image = cv2.imread("images/test.png")
utils.SlicedDetection(image,model="yolov4")

Underneath it uses YOLOv4 model trained on COCO dataset capable of detecting 80 objects.

If you find zoomvision helpful in your work, please cite the following

@misc{ar2021zoomvision,
  author =       {Nurettin Sinanoğlu},
  title =        {zoomvision - Easy to use Computer Vision library for Python},
  howpublished = {\url{https://github.com/Lynchez/zoomvision}},
  year =         {2022}
}