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example2 - person height.py File Reference

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Namespaces

 example2 - person height
 

Variables

 example2 - person height.aligned_stream = rs.align(rs.stream.color)
 
tuple example2 - person height.bbox = (int(left), int(top), int(width), int(height))
 
 example2 - person height.bottom = box[2]*H
 
tuple example2 - person height.bottomLeftCornerOfText = (p1[0], p1[1] + 20)
 
 example2 - person height.box = boxes[idx]
 
 example2 - person height.boxes = np.squeeze(boxes)
 
 example2 - person height.class_ = classes[idx]
 
 example2 - person height.classes = np.squeeze(classes).astype(np.int32)
 
 example2 - person height.color_frame = frames.get_color_frame()
 
 example2 - person height.color_image = np.asanyarray(color_frame.get_data())
 
 example2 - person height.config = rs.config()
 
 example2 - person height.depth_frame = frames.get_depth_frame()
 
 example2 - person height.detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
 
 example2 - person height.detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')
 
 example2 - person height.detection_graph = tf.Graph()
 
 example2 - person height.detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')
 
 example2 - person height.feed_dict
 
 example2 - person height.font = cv2.FONT_HERSHEY_SIMPLEX
 
tuple example2 - person height.fontColor = (255, 255, 255)
 
int example2 - person height.fontScale = 1
 
 example2 - person height.frames = pipeline.wait_for_frames()
 
int example2 - person height.H = 480
 
 example2 - person height.height = bottom-top
 
string example2 - person height.height_txt = str(height)+"[m]"
 
 example2 - person height.image_expanded = np.expand_dims(color_image, axis=0)
 
 example2 - person height.image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
 
 example2 - person height.left = box[1]*W
 
int example2 - person height.lineType = 2
 
 example2 - person height.my = np.amin(ys, initial=1)
 
 example2 - person height.My = np.amax(ys, initial=-1)
 
 example2 - person height.name
 
 example2 - person height.num
 
 example2 - person height.num_detections = detection_graph.get_tensor_by_name('num_detections:0')
 
 example2 - person height.obj_points = verts[int(bbox[1]):int(bbox[1] + bbox[3]), int(bbox[0]):int(bbox[0] + bbox[2])].reshape(-1, 3)
 
 example2 - person height.od_graph_def = tf.compat.v1.GraphDef()
 
tuple example2 - person height.p1 = (int(bbox[0]), int(bbox[1]))
 
tuple example2 - person height.p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
 
string example2 - person height.PATH_TO_CKPT = r"frozen_inference_graph.pb"
 
 example2 - person height.pipeline = rs.pipeline()
 
 example2 - person height.point_cloud = rs.pointcloud()
 
 example2 - person height.points = point_cloud.calculate(depth_frame)
 
 example2 - person height.right = box[3]*W
 
tuple example2 - person height.scaled_size = (int(W), int(H))
 
 example2 - person height.score = scores[idx]
 
 example2 - person height.scores = np.squeeze(scores)
 
 example2 - person height.serialized_graph = fid.read()
 
 example2 - person height.sess = tf.compat.v1.Session(graph=detection_graph)
 
 example2 - person height.top = box[0]*H
 
 example2 - person height.verts = np.asanyarray(points.get_vertices()).view(np.float32).reshape(-1, W, 3)
 
int example2 - person height.W = 848
 
 example2 - person height.width = right-left
 
 example2 - person height.ys = obj_points[:, 1]
 
 example2 - person height.z = np.median(zs)
 
 example2 - person height.zs = obj_points[:, 2]
 


librealsense2
Author(s): Sergey Dorodnicov , Doron Hirshberg , Mark Horn , Reagan Lopez , Itay Carpis
autogenerated on Mon May 3 2021 02:50:25