/Autonomous-driving-application-Car-detection

object detection using the very powerful YOLO model

Primary LanguageJupyter NotebookMIT LicenseMIT

Poject Description

object detection using the very powerful YOLO model

Goals

  • Use object detection on a car detection dataset
  • Deal with bounding boxes

Packages used

  • argparse
  • os
  • matplotlib.pyplot
  • matplotlib.pyplot - imshow -
  • scipy.io
  • scipy.misc
  • numpy
  • pandas
  • PIL
  • tensorflow
  • keras - backend -
  • keras.layers - Input, Lambda, Conv2D -
  • keras.models - load_model, Model -
  • yolo_utils - read_classes, read_anchors, generate_colors, preprocess_image, draw_boxes, scale_boxes -
  • yad2k.models.keras_yolo - yolo_head, yolo_boxes_to_corners, preprocess_true_boxes, yolo_loss, yolo_body -

Used data set

detail inside the notebook