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Customizing YOLO v4 to Detect Parking Spaces

YOLOv3 and YOLOv4 implementation in TensorFlow 2.x, with support for training, transfer training, object tracking mAP and so on... Code was tested with following specs:

  • R5 5600X CPU and Nvidia RTX 3080 GPU
  • OS Windows 11
  • CUDA 11.7
  • cuDNN v11.8
  • Tensorflow-GPU 2.9.2
  • Code was tested on only Windows 11
  • You need custom_dataset to train the code (it's not an open source sorry T.T)

Installation

First, clone or download this GitHub repository. Install requirements:

pip install -r ./requirements.txt

Looking into Custom Dataset

Dataset
Dataset
Dataset
Dataset

Traing with Custom Dataset

Train

Decoding Code

Train
Train

Loss Function

Loss

Training

Training

Results

  • Yellow : Slot is Occupied
  • Red : Slot is Empty

Result
Result
Result

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Customizing YOLO v4 to Detect Parking Spaces

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