Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼NDarknet	The namespace for the C++ Darknet API
CArgsAndParms
CCfgAndState
▼CCfgFile	A class that represents a Darknet/YOLO configuration file
CCommonParms
CCfgLine	Each non-empty line in a .cfg file is stored as a `Darknet::CfgLine` object
CCfgSection	A class that represents a specific section in a configuration file
CKeypoints	The `Keypoints` class works with Darknet's V3 API
CLayer
CNetwork	Neural network structure. Contains all of the layers. Created by Darknet::CfgFile::create_network()
CNetworkDetails	A place to store other details related to the neural network which we cannot easily add to the usual Darknet::Network structure
CNetworkState
COutput_Object	This is used to help keep some state between calls to functions fill_network_boxes(), get_yolo_detections(), etc
CParm	Structure returned by Darknet::parse_arguments()
CPrediction	A much-simplified version of the old API structure DarknetDetection
CTimingAndTracking	The timing and tracking functionality is used to find places in the code where optimizations should be made
CTimingRecords	An object of this type is statically instantiated in Timing.cpp
CTree
Canchors_t
Cbox_label
Cboxabs
CChart
Ccontrastive_params
CDarknetBox	Bounding box used with normalized coordinates (between 0.0 and 1.0)
CDarknetDetection	Everything Darknet knows about a specific detection
CDarknetImage	The structure DarknetImage is used to store a normalized RGB Darknet image
Cdata
Cdbox
Cdet_num_pair
Cdetection_with_class
Cdxrep
CFrame	Everything we know about a specific video frame is stored in one of these objects
Cious
Ckvp
Clist
Cload_args	Used when a secondary thread is created to load things, such as images
Cmatrix
Cmodel
Cnode
Ctime_benchmark_layers
Cupdate_args