暹罗网络
2016-11-03 12:11:47 0 举报
暹罗网络是一家专注于提供高质量互联网服务的公司，致力于为全球用户提供稳定、快速、安全的网络连接。公司拥有一支专业的技术团队，通过不断创新和技术优化，为用户提供优质的网络体验。暹罗网络的服务覆盖范围广泛，包括个人用户、企业用户以及政府机构等。无论是在家中、办公室还是公共场所，用户都可以轻松接入暹罗网络，畅享无障碍的上网体验。暹罗网络始终坚持以客户为中心的理念，不断提升服务质量和用户体验，成为用户信赖的网络服务提供商。
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大纲/内容
Display the annotated video frame using the video player object.
function bboxes = tracker(varargin)
A DAG object contains the following data members:•\tlayers: The network layers.•\tvars: The network variables.•\tparams: The network parameters.•\tmeta: Additional information relative to the CNN (e.g. input
remove loss layer
Init visualization
evaluate the offline-trained network for exemplar x features
load as DAGNN
at the first frame output position and size passed as input (ground truth)
instance branch computes features for search region x and cross-correlates with z features
exemplar branch (used only once per video) computes features for the target
SiamFC prefix and ids(Overwrite default parameters with varargin)
Load ImageNet Video statistics
initialize the exemplar
loads a pretrained fully-convolutional Siamese network as a DagNN
start tracking
output bbox in the original frame coordinates
init specified GPU
extract scaled crops for search region x at previous target position
load new frame on GPU
get the first frame of the video
Load two copies of the pre-trained network
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