Week 3 project from Coursera's "Convolutional Neural Networks" course (DeepLearning.AI Deep Learning Specialization, 2018). Tested on a conda environment with TensorFlow 1.14.0 + Keras.
Important: you have to put the file yolo.h5
in the model_data folder. The file is ~196MB and can be obtained following these instructions:
-
clone or download YAD2K (https://github.com/allanzelener/YAD2K);
-
download weights and cfg files (YOLOv2 608x608) from https://pjreddie.com/darknet/yolo ;
-
put the files in the
YAD2K-master
folder, open a shell, activate a TensorFlow 1.X + Keras environment and type
python yad2k.py yolov2.cfg yolov2.weights model_data/yolo.h5
;
- put the
yolo.h5
file in themodel_data
folder of the Car Detection project.