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Description

Deep Learning Detection Suite (dl-DetectionSuite) consists of a set of utilities oriented to simplify developing, training and testing solutions based on object detection.

Utilities

Sample Generator

Dataset Generator

Detection Evaluation

Creating a Custom appConfig.txt

It is recommended to create and assign a dedicated directory for storing all datasets, weights and config files, for easier access and a cleaner appConfig.txt file.

For Instance we will be using /opt/datasets/ for demonstration purposes.

Create some directories in /opt/datasets/ such as cfg, names, weights and eval.

Again, these names are temporary and can be changed, but must also be changed in appConfig.txt.

cfg: This directory will store config files for various networks. For example, yolo-voc.cfg [2]. names: This directory will contain class names for various datasets. For example, voc.names [3]. weights: This directory will contain weights for various networks, such as yolo-voc.weights [1] for yolo or a frozen inference graph for tensorflow trained networks. eval: Evaluations path

Once done, you can create you own custom appConfig.txt like the one mentioned below.

--datasetPath
/opt/datasets/

--evaluationsPath
/opt/datasets/eval

--weightsPath
/opt/datasets/weights

--netCfgPath
/opt/datasets/cfg

--namesPath
/opt/datasets/names

--inferencesPath
/opt/datasets

Place your weights in weights directory, config files in cfg directory, classname files in names. And you are ready to go.

Requirements

Installation process