Open BG4WCE opened 3 years ago
Please try to remove the last parameter "arc" of the constructor in the yolov3Layer custom layer.
Thanks. I modified your code to take arc = 'default' when arc is not defined. BTW, where is this 'arc' coming from? Is it from YOLOv4?
Is there any mirror of baidu serwer providing weights and .cfg files?
Thanks. I modified your code to take arc = 'default' when arc is not defined. BTW, where is this 'arc' coming from? Is it from YOLOv4?
Can you please tell me where do i need to put arc='default'. I have tried to remove "arc" from here: function layer = yolov3Layer(name, mask,allAnchors,nClasses,yoloIndex,imageSize,arc) and in the line 65: layer.arc = arc; they tell me that the 'arc' is not defined! I don't know what i should do? pklease help me. And thank you very much
if nargin == 6
arc = 'default';
end
methods
function layer = yolov3Layer(name, mask,allAnchors,nClasses,yoloIndex,imageSize) % %%% modeified
% 输入参数:
% name: 字符向量或字符串,层名字
% mask: 见上面properties说明
% allAnchors:同上面properties之anchors说明
% nClasses: 1*1 标量,检测的类别数量
% imageSize:[imageHeight,imageWidth],输入网络的图像大小
% yoloIndex:1*1标量,从1开始的索引,输出yolo检测层的序号
% arc:字符向量或字符串,计算损失的方式
%
% cuixingxing150@gmail.com
% 2020.4.20
%
assert(size(allAnchors,2)==2,'allAnchors must have n*2 shape!');% nAchors*2,形如[width,height]
layer.mask = mask;
layer.anchors = allAnchors;
layer.num = numel(allAnchors)/2;
layer.classes = nClasses;
layer.ignore_thresh = .7;
layer.truth_thresh = 1;
layer.jitter = .3;
layer.random = 1;
anchorsUse = allAnchors(mask,:);% na*2, 注意matlab中mask是从1开始的索引
layer.Name = name;
text = ['all number classes:', num2str(nClasses),...
',used anchor box:',mat2str(round(anchorsUse)),...
', yoloLayerID:',num2str(yoloIndex),...
]; %%% modeified
layer.Description = text;
layer.Type = 'yoloV3Layer';
layer.numY = 1;
layer.numX = 1;
layer.stride =1;
[
layer.anchorsUse = anchorsUse;](url)
layer.nAnchors = size(anchorsUse,1);
layer.imageSize = imageSize;
%layer.arc = arc; %%%% modeified
end
remove these arc parameters. my coding running well.............
你好,我删除arc之后,去跑预测,就会有误,,置信度很低的都显示上去了,这怎么解决呢??
Hi,
I got error when loading yolov3 weights after module No 17.
This module No: 1 [net] ,have #params:0 ,FLops:0 ,feature map size:(416416),channels in:- ,channels out:3
This module No: 2 [convolutional] ,have #params:512 ,FLops:88604672 ,feature map size:(416416),channels in:3 ,channels out:16
This module No: 3 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(208208),channels in:16 ,channels out:16
This module No: 4 [convolutional] ,have #params:4768 ,FLops:206282752 ,feature map size:(208208),channels in:16 ,channels out:32
This module No: 5 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(104104),channels in:32 ,channels out:32
This module No: 6 [convolutional] ,have #params:18752 ,FLops:202821632 ,feature map size:(104104),channels in:32 ,channels out:64
This module No: 7 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(52 52 ),channels in:64 ,channels out:64
This module No: 8 [convolutional] ,have #params:74368 ,FLops:201091072 ,feature map size:(52 52 ),channels in:64 ,channels out:128
This module No: 9 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(26 26 ),channels in:128 ,channels out:128
This module No:10 [convolutional] ,have #params:296192 ,FLops:200225792 ,feature map size:(26 26 ),channels in:128 ,channels out:256
This module No:11 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(13 13 ),channels in:256 ,channels out:256
This module No:12 [convolutional] ,have #params:1182208 ,FLops:199793152 ,feature map size:(13 13 ),channels in:256 ,channels out:512
This module No:13 [maxpool] ,have #params:0 ,FLops:0 ,feature map size:(13 13 ),channels in:512 ,channels out:512
This module No:14 [convolutional] ,have #params:4723712 ,FLops:798307328 ,feature map size:(13 13 ),channels in:512 ,channels out:1024
This module No:15 [convolutional] ,have #params:263424 ,FLops:44518656 ,feature map size:(13 13 ),channels in:1024 ,channels out:256
This module No:16 [convolutional] ,have #params:1182208 ,FLops:199793152 ,feature map size:(13 13 ),channels in:256 ,channels out:512
This module No:17 [convolutional] ,have #params:130815 ,FLops:22107735 ,feature map size:(13 *13 ),channels in:512 ,channels out:255
Not enough input arguments.
Error in yolov3Layer (line 54) ', arc:',arc];
Error in importDarkNetLayers (line 372) yolov3_layer = yolov3Layer(['yolo_v3_id',num2str(yoloIndex)],...
Error in importDarknetWeights (line 30) moduleTypeList,moduleInfoList,layerToModuleIndex] = importDarkNetLayers(cfgfile);% only weights需要cutoff,layer都导入
Error in yolov3v4Predict (line 24) [layerGraphYolo,hyperParams] = importDarknetWeights(cfg_file,weight_file);
Error in detect (line 26) outFeatures = yolov3v4Predict(cfg_file,weight_file,im);% M*(5+nc) ,为[x,y,w,h,Pobj,p1,p2,...,pn]