Object Detection

SDK.detect_objects(self: tfsdk.SDK, tf_image: tfsdk.TFImage) → Tuple[tfsdk.ERRORCODE, List[tfsdk.BoundingBox]]

Detect people and objects in the image.

Parameters:

tf_image - The input tfsdk.TFImage, returned by tfsdk.SDK.preprocess_image().

Returns:
static SDK.get_object_label_string(object_label: tfsdk.OBJECTLABEL) → str

Converts an object label to a string.

Parameters:

object_label - The tfsdk.BoundingBox.label.

Returns:

str - The string representation of the tfsdk.BoundingBox.label.

class tfsdk.BoundingBox
property height

The height of the bounding box.

property label

The object class as a label.

property probability

The detection’s confidence probability.

to_dict(self: tfsdk.BoundingBox) → dict

Return a dictionary representation of the object.

property top_left

The top left corner Point of the bounding box.

property width

The width of the bounding box.

class tfsdk.OBJECTLABEL

Members:

person

bicycle

car

motorcycle

airplane

bus

train

truck

boat

traffic_light

fire_hydrant

stop_sign

parking_meter

bench

bird

cat

dog

horse

sheep

cow

elephant

bear

zebra

giraffe

backpack

umbrella

handbag

tie

suitcase

frisbee

skis

snowboard

sports_ball

kite

baseball_bat

baseball_glove

skateboard

surfboard

tennis_racket

bottle

wine_glass

cup

fork

knife

spoon

bowl

banana

apple

sandwich

orange

broccoli

carrot

hot_dog

pizza

donut

cake

chair

couch

potted_plant

bed

dining_table

toilet

tv

laptop

mouse

remote

keyboard

cell_phone

microwave

oven

toaster

sink

refrigerator

book

clock

vase

scissors

teddy_bear

hair_drier

toothbrush