example1 - object detection.py File Reference

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Namespaces
	example1 - object detection

Variables
	example1 - object detection.axis
	example1 - object detection.b
	example1 - object detection.bottom = int(box[2] * color_frame.height)
	example1 - object detection.box = boxes[idx]
	example1 - object detection.boxes = np.squeeze(boxes)
	example1 - object detection.class_ = classes[idx]
	example1 - object detection.classes = np.squeeze(classes).astype(np.int32)
	example1 - object detection.color_frame
	example1 - object detection.color_image
	example1 - object detection.colors_hash
	example1 - object detection.config
	example1 - object detection.detection_boxes
	example1 - object detection.detection_classes
	example1 - object detection.detection_graph
	example1 - object detection.detection_scores
dictionary	example1 - object detection.feed_dict = {image_tensor: image_expanded})
	example1 - object detection.frames
	example1 - object detection.g
	example1 - object detection.graph
	example1 - object detection.image_expanded
	example1 - object detection.image_tensor
	example1 - object detection.left = int(box[1] * color_frame.width)
	example1 - object detection.name
	example1 - object detection.num
	example1 - object detection.num_detections
	example1 - object detection.od_graph_def
tuple	example1 - object detection.p1 = (left, top)
tuple	example1 - object detection.p2 = (right, bottom)
	example1 - object detection.PATH_TO_CKPT
	example1 - object detection.pipeline
	example1 - object detection.r
	example1 - object detection.right = int(box[3] * color_frame.width)
	example1 - object detection.scaled_size
	example1 - object detection.score = scores[idx]
	example1 - object detection.scores = np.squeeze(scores)
	example1 - object detection.serialized_graph
	example1 - object detection.sess
	example1 - object detection.top = int(box[0] * color_frame.height)