App for identification of various objects. Based on YOLO v4 tiny architecture

Related tags

Deep Learning object-detection cv2 yolov4-tiny
Overview

Object_detection

Repository containing trained model yolo v4 tiny, which is capable of identification 80 different classes

  • Default feed is set to be a computer camera
  • GUI contains of 5 classes which user can choose when initialising a function

To run:

  • select the 'detect' function arguments, all five should be indicated

List of classes to choose from:

  • person
  • bicycle
  • car
  • motorbike
  • aeroplane
  • bus
  • train
  • truck
  • boat
  • traffic light
  • fire hydrant
  • stop sign
  • parking meter
  • bench
  • bird
  • cat
  • dog
  • horse
  • sheep
  • cow
  • elephant
  • bear
  • zebra
  • giraffe
  • backpack
  • umbrella
  • handbag
  • tie
  • suitcase
  • frisbee
  • skis
  • snowboard
  • sports ball
  • kite
  • baseball bat
  • baseball glove
  • skateboard
  • surfboard
  • tennis racket
  • bottle
  • wine glass
  • cup
  • fork
  • knife
  • spoon
  • bowl
  • banana
  • apple
  • sandwich
  • orange
  • broccoli
  • carrot
  • hot dog
  • pizza
  • donut
  • cake
  • chair
  • sofa
  • pottedplant
  • bed
  • diningtable
  • toilet
  • tvmonitor
  • laptop
  • mouse
  • remote
  • keyboard
  • cell phone
  • microwave
  • oven
  • toaster
  • sink
  • refrigerator
  • book
  • clock
  • vase
  • scissors
  • teddy bear
  • hair drier
  • toothbrush
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