xinli-zn / tadt Goto Github PK

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，我在windows下尝试跑代码，编译matconvnet,但一开始进去就是显示这个

而vgg16得路径我之前添加完整了的

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？

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

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 !

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);

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

What a great job! Can u tell me how to train?

我想用于多目标跟踪？请问如何实现