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DnnLab

Project description

DnnLab

Dnnlab is a small framework for deep learning models based on TensorFlow.

It provides custom training loops for:

  • Generative Models (GAN, cGan, cycleGAN)
  • Image Detection (custom YOLO)

Additonaly custom Keras Layer:

  • Non-Local-Blocks (Self-Attention)
  • Squeeze and Excitation Blocks (SEBlocks)
  • YOLO-Decoding Layer

Input pipeline functionality:

  • YOLO (Tfrecords to Datasets)
  • YOLO data augmentation
  • Generative Models (Tfrecords to Datasets)

TensorBoard output:

  • YOLO coco metrics (Precision (mAP) & Recall)
  • YOLO loss (loss_class, loss_conf, loss_xywh, total_loss)
  • YOLO bounding boxes
  • Generative Models (Loss & Images)

Requirements

TensorFlow 2.3.0

Installation

Run the following to install:

pip install dnnlab

Project details


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