example1 - object detection Namespace Reference

Variables
	axis
	b
	bottom = int(box[2] * color_frame.height)
	box = boxes[idx]
	boxes = np.squeeze(boxes)
	class_ = classes[idx]
	classes = np.squeeze(classes).astype(np.int32)
	color_frame
	color_image
	colors_hash
	config
	detection_boxes
	detection_classes
	detection_graph
	detection_scores
dictionary	feed_dict = {image_tensor: image_expanded})
	frames
	g
	graph
	image_expanded
	image_tensor
	left = int(box[1] * color_frame.width)
	name
	num
	num_detections
	od_graph_def
tuple	p1 = (left, top)
tuple	p2 = (right, bottom)
	PATH_TO_CKPT
	pipeline
	r
	right = int(box[3] * color_frame.width)
	scaled_size
	score = scores[idx]
	scores = np.squeeze(scores)
	serialized_graph
	sess
	top = int(box[0] * color_frame.height)

Variable Documentation

example1 - object detection.axis

Definition at line 52 of file example1 - object detection.py.

example1 - object detection.b

Definition at line 78 of file example1 - object detection.py.

example1 - object detection.bottom = int(box[2] * color_frame.height)

Definition at line 73 of file example1 - object detection.py.

example1 - object detection.box = boxes[idx]

Definition at line 64 of file example1 - object detection.py.

example1 - object detection.boxes = np.squeeze(boxes)

Definition at line 54 of file example1 - object detection.py.

example1 - object detection.class_ = classes[idx]

Definition at line 62 of file example1 - object detection.py.

example1 - object detection.classes = np.squeeze(classes).astype(np.int32)

Definition at line 54 of file example1 - object detection.py.

example1 - object detection.color_frame

Definition at line 45 of file example1 - object detection.py.

example1 - object detection.color_image

Definition at line 48 of file example1 - object detection.py.

example1 - object detection.colors_hash

Definition at line 42 of file example1 - object detection.py.

example1 - object detection.config

Definition at line 8 of file example1 - object detection.py.

example1 - object detection.detection_boxes

Definition at line 33 of file example1 - object detection.py.

example1 - object detection.detection_classes

Definition at line 37 of file example1 - object detection.py.

example1 - object detection.detection_graph

Definition at line 20 of file example1 - object detection.py.

example1 - object detection.detection_scores

Definition at line 36 of file example1 - object detection.py.

dictionary example1 - object detection.feed_dict = {image_tensor: image_expanded})

Definition at line 55 of file example1 - object detection.py.

example1 - object detection.frames

Definition at line 44 of file example1 - object detection.py.

example1 - object detection.g

Definition at line 78 of file example1 - object detection.py.

example1 - object detection.graph

Definition at line 27 of file example1 - object detection.py.

example1 - object detection.image_expanded

Definition at line 52 of file example1 - object detection.py.

example1 - object detection.image_tensor

Definition at line 30 of file example1 - object detection.py.

example1 - object detection.left = int(box[1] * color_frame.width)

Definition at line 70 of file example1 - object detection.py.

example1 - object detection.name

Definition at line 26 of file example1 - object detection.py.

example1 - object detection.num

Definition at line 54 of file example1 - object detection.py.

example1 - object detection.num_detections

Definition at line 39 of file example1 - object detection.py.

example1 - object detection.od_graph_def

Definition at line 22 of file example1 - object detection.py.

tuple example1 - object detection.p1 = (left, top)

Definition at line 75 of file example1 - object detection.py.

tuple example1 - object detection.p2 = (right, bottom)

Definition at line 76 of file example1 - object detection.py.

example1 - object detection.PATH_TO_CKPT

Definition at line 17 of file example1 - object detection.py.

example1 - object detection.pipeline

Definition at line 7 of file example1 - object detection.py.

example1 - object detection.r

Definition at line 78 of file example1 - object detection.py.

example1 - object detection.right = int(box[3] * color_frame.width)

Definition at line 72 of file example1 - object detection.py.

example1 - object detection.scaled_size

Definition at line 49 of file example1 - object detection.py.

example1 - object detection.score = scores[idx]

Definition at line 63 of file example1 - object detection.py.

example1 - object detection.scores = np.squeeze(scores)

Definition at line 54 of file example1 - object detection.py.

example1 - object detection.serialized_graph

Definition at line 24 of file example1 - object detection.py.

example1 - object detection.sess

Definition at line 27 of file example1 - object detection.py.

example1 - object detection.top = int(box[0] * color_frame.height)

Definition at line 71 of file example1 - object detection.py.