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Implementation of the TADT tracker of paper 'Target-Aware Deep Tracking'
What a great job! Can u tell me how to train?
你好,请问要运行这个测试效果,需要配置什么环境,需要matconvnet环境吗?Linux下可以吗
您好,非常感谢你的工作,我下载了你提供的TC128的结果文件,但是发现只有128个文件,TC128共有129个seq,我查看了下貌似缺少了Railwaystation_ce的结果文件,不知道是否是这样?谢谢
未定义函数或变量 'vl_nnconv'。
出错 dagnn.Conv/forward (line 11)
outputs{1} = vl_nnconv(...
出错 dagnn.Layer/forwardAdvanced (line 85)
outputs = obj.forward(inputs, {net.params(par).value}) ;
出错 dagnn.DagNN/eval (line 91)
obj.layers(l).block.forwardAdvanced(obj.layers(l)) ;
出错 get_subwindow_feature (line 37)
net_feat.eval({'input',gpuArray(patch_sw)});
出错 tadt_tracking (line 63)
feat_groups = get_subwindow_feature(net_feat, img, sw_location, input_sz, feat_layer);
出错 Demo_TADT (line 24)
[result, fps]=tadt_tracking(seq_info.img_list, seq_info.gt(1,:), vgg16_model_path, display);
The error like this :
Struct contents reference from a non-struct array object.
Error in solver.adam (line 62)
state.m = opts.beta1 * state.m + (1 - opts.beta1) * grad ;
Error in cnn_train_dag_ridge>accumulateGradients (line 375)
params.solver(net.params(p).value, state.solverState{p}, ...
Error in cnn_train_dag_ridge>processEpoch (line 282)
state = accumulateGradients(net, state, params, batchSize, parserv) ;
Error in cnn_train_dag_ridge (line 114)
[net, state, ders_iter(:,epoch)] = processEpoch(net, input, state, params, 'train') ;
I find that the params.solver is @solver.adam but the state.solverState{p} is blank in the below code. The code of initialize the state is enabled when the params.solver is empty.
if isempty(params.solver)
if isempty(state.solverState{p})
state.solverState{p} = zeros(size(parDer), 'like', parDer);
end
state.solverState{p} = vl_taccum(...
params.solverOpts.momentum, state.solverState{p}, ...
- (1 / batchSize), parDer) ;
net.params(p).value = vl_taccum(...
(1 - thisLR * thisDecay / (1 - params.solverOpts.momentum)), ...
net.params(p).value, ...
thisLR, state.solverState{p}) ;
else
grad = (1 / batchSize) * parDer + thisDecay * net.params(p).value;
% call solver function to update weights
[net.params(p).value, state.solverState{p}] = ...
params.solver(net.params(p).value, state.solverState{p}, ...
grad, params.solverOpts, thisLR) ;
end
so it cause a error when calling params.solver().
how should I fix it ?
Thanks !
你好,编译matconvnet后,运行代码,报错错误使用 vl_nnconv
The option name is not a string (argument number 5),请问怎么解决呢?
I am getting the following error. Kindly help me to solve this issue
Demo_TADT
Attempt to execute SCRIPT vl_nnconv as a function:
G:\Documents\TADT-master\matconvnet\matlab\vl_nnconv.m
Error in dagnn.Conv/forward (line 11)
outputs{1} = vl_nnconv(...
Error in dagnn.Layer/forwardAdvanced (line 85)
outputs = obj.forward(inputs, {net.params(par).value}) ;
Error in dagnn.DagNN/eval (line 91)
obj.layers(l).block.forwardAdvanced(obj.layers(l)) ;
Error in get_subwindow_feature (line 37)
net_feat.eval({'input',gpuArray(patch_sw)});
Error in tadt_tracking (line 63)
feat_groups = get_subwindow_feature(net_feat, img, sw_location, input_sz, feat_layer);
Error in Demo_TADT (line 24)
[result, fps]=tadt_tracking(seq_info.img_list, seq_info.gt(1,:), vgg16_model_path, display);
我想用于多目标跟踪?请问如何实现
你好,请问要运行这个测试效果,需要配置什么环境,需要matconvnet环境吗?Linux下可以吗
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