Enrollments Closing Soon for Online Instructor-Led DevOps Certification Training by CloudxLab | No Cost EMI Available

  Enroll Now

Getting the class names

In this section, we will read the coco labels file. This file contains the labels of the object the model was trained against. We will also create a COLORS array which will give a different color for each label.

INSTRUCTIONS
  • Set labels_file to the file path /cxldata/projects/yolov4/coco.names where the labels are stored. Remember to put quotes (" ") around the path.

    labels_file=<< your code comes here >>
    
  • Get the labels LABELS from the file:

    LABELS = open(labels_file).read().strip().split("\n")
    
  • Randomly generate the colors(the R value, G value and B value) using np.random.randint for each label(thus the size (len(LABELS), 3). These colors will be used to highlight the detected object of that class later.

    COLORS = np.random.<< your code comes here >>(0, 255, size=(len(LABELS), 3), dtype="uint8")
    
  • Let us have a look at the first 5 classes in the file:

    LABELS[:5]
    

No hints are availble for this assesment

Answer is not availble for this assesment


Note - Having trouble with the assessment engine? Follow the steps listed here

Loading comments...