darknet Namespace Reference

Classes
class	BOX
class	DETECTION
class	IMAGE
class	METADATA

Functions
def	sample (probs)
def	c_array (ctype, values)
def	classify (net, meta, im)
def	detect (net, meta, image, thresh=.5, hier_thresh=.5, nms=.45)

Variables
	lib = CDLL("libdarknet.so", RTLD_GLOBAL)
	argtypes
	restype
	predict = lib.network_predict
	set_gpu = lib.cuda_set_device
	make_image = lib.make_image
	get_network_boxes = lib.get_network_boxes
	make_network_boxes = lib.make_network_boxes
	free_detections = lib.free_detections
	free_ptrs = lib.free_ptrs
	network_predict = lib.network_predict
	reset_rnn = lib.reset_rnn
	load_net = lib.load_network
	do_nms_obj = lib.do_nms_obj
	do_nms_sort = lib.do_nms_sort
	free_image = lib.free_image
	letterbox_image = lib.letterbox_image
	load_meta = lib.get_metadata
	load_image = lib.load_image_color
	rgbgr_image = lib.rgbgr_image
	predict_image = lib.network_predict_image
	net = load_net("cfg/tiny-yolo.cfg", "tiny-yolo.weights", 0)
	meta = load_meta("cfg/coco.data")
def	r = detect(net, meta, "data/dog.jpg")

Function Documentation

c_array()

def darknet.c_array	(		ctype,
			values
	)

Definition at line 15 of file darknet.py.

classify()

def darknet.classify	(		net,
			meta,
			im
	)

Definition at line 117 of file darknet.py.

detect()

def darknet.detect	(		net,
			meta,
			image,
			thresh = .5,
			hier_thresh = .5,
			nms = .45
	)

Definition at line 125 of file darknet.py.

sample()

def darknet.sample

(

probs

)

Definition at line 5 of file darknet.py.

Variable Documentation

argtypes

darknet.argtypes

Definition at line 49 of file darknet.py.

do_nms_obj

darknet.do_nms_obj = lib.do_nms_obj

Definition at line 89 of file darknet.py.

do_nms_sort

darknet.do_nms_sort = lib.do_nms_sort

Definition at line 92 of file darknet.py.

free_detections

darknet.free_detections = lib.free_detections

Definition at line 73 of file darknet.py.

free_image

darknet.free_image = lib.free_image

Definition at line 95 of file darknet.py.

free_ptrs

darknet.free_ptrs = lib.free_ptrs

Definition at line 76 of file darknet.py.

get_network_boxes

darknet.get_network_boxes = lib.get_network_boxes

Definition at line 65 of file darknet.py.

letterbox_image

darknet.letterbox_image = lib.letterbox_image

Definition at line 98 of file darknet.py.

lib

darknet.lib = CDLL("libdarknet.so", RTLD_GLOBAL)

Definition at line 48 of file darknet.py.

load_image

darknet.load_image = lib.load_image_color

Definition at line 106 of file darknet.py.

load_meta

darknet.load_meta = lib.get_metadata

Definition at line 102 of file darknet.py.

load_net

darknet.load_net = lib.load_network

Definition at line 85 of file darknet.py.

make_image

darknet.make_image = lib.make_image

Definition at line 61 of file darknet.py.

make_network_boxes

darknet.make_network_boxes = lib.make_network_boxes

Definition at line 69 of file darknet.py.

meta

darknet.meta = load_meta("cfg/coco.data")

Definition at line 152 of file darknet.py.

net

darknet.net = load_net("cfg/tiny-yolo.cfg", "tiny-yolo.weights", 0)

Definition at line 151 of file darknet.py.

network_predict

darknet.network_predict = lib.network_predict

Definition at line 79 of file darknet.py.

predict

darknet.predict = lib.network_predict

Definition at line 54 of file darknet.py.

predict_image

darknet.predict_image = lib.network_predict_image

Definition at line 113 of file darknet.py.

r

def darknet.r = detect(net, meta, "data/dog.jpg")

Definition at line 153 of file darknet.py.

reset_rnn

darknet.reset_rnn = lib.reset_rnn

Definition at line 82 of file darknet.py.

restype

darknet.restype

Definition at line 50 of file darknet.py.

rgbgr_image

darknet.rgbgr_image = lib.rgbgr_image

Definition at line 110 of file darknet.py.

set_gpu

darknet.set_gpu = lib.cuda_set_device

Definition at line 58 of file darknet.py.