Opencv_contrib: GOTURN Tracker results in errors
System information (version)
- OpenCV => 3.2.0 & opencv_contrib 3.2
- Operating System / Platform => Windows 10 64 Bit
- Compiler => Visual Studio 2015
Detailed description
I have been trying to run the GOTURN tracker OpenCV implementation. I was firstly not able to find the goturn.prototxt and goturn.caffemodel (pretrained versions) on the opencv_extra github site, but was able to pull them from other github repos.
The program fails on execution with the following error, as soon as you select a ROI :
OpenCV Error: Assertion failed (input.dims() == 4 && (input.type() == CV_32F || input.type() == CV_64F)) in cv::dnn::ConvolutionLayerImpl::allocate, file E:opencv3.2.0_sourcesopencv_contrib-master\modules\dnn\src\layers\convolution_layer.cpp, line 90
OpenCV Error: Assertion failed (The following error occured while making allocate() for layer "conv11": input.dims() == 4 && (input.type() == CV_32F || input.type() == CV_64F)) in cv::dnn::ConvolutionLayerImpl::allocate, file E:opencv3.2.0_sourcesopencv_contrib-master\modules\dnn\src\layers\convolution_layer.cpp, line 90
I tried fixing this by updating the following lines of code in gtrtacker.cpp as follows :
dnn::Blob targetBlob = dnn::Blob(targetPatch);
dnn::Blob searchBlob = dnn::Blob(searchPatch);
TO
dnn::Blob targetBlob = dnn::Blob::fromImages(targetPatch);
dnn::Blob searchBlob = dnn::Blob::fromImages(searchPatch);
NOW,
I get a different error altogether that seems to have something to do with OpenCL, i get this error in the allocate() function in dnn.cpp ::
OpenCV Error: Assertion failed (dims <= 3) in cv::ocl::OpenCLAllocator::checkContinuous, file E:opencv3.2.0_sources\3.2.0opencv-3.2.0\modules\core\src\ocl.cpp, line 4899
OpenCV Error: Assertion failed (The following error occured while making forward() for layer "concat1": dims <= 3) in cv::ocl::OpenCLAllocator::checkContinuous, file E:opencv3.2.0_sources\3.2.0opencv-3.2.0\modules\core\src\ocl.cpp, line 4899
0x00007FFD18AC7788 (0x000000AAD070BBF8 0x000000AAD070BC00 0x000000AAD070BC08 0x00007FFD18D38CC1), RaiseException() + 0x68 bytes(s)
0x00007FFCF5F74582 (0x00007FFCDBED0000 0x000000AAD071BD50 0x0000021C8281D384 0x00007FFD18D30000), _CxxThrowException() + 0xC2 bytes(s)
0x00007FFCDC53A45A (0x0000000000000029 0x0000000000000000 0x0000000000000000 0x0000000000000000), cv::error() + 0x15A bytes(s), e:opencv3.2.0_sources\3.2.0opencv-3.2.0\modules\core\src\system.cpp, line 661 + 0x1E byte(s)
0x00007FFCDC53A5A0 (0x000000AAD071E3D0 0x0000000000000000 0x000000AAD071CB90 0x0000021C81BB9E64), cv::error() + 0x140 bytes(s), e:opencv3.2.0_sources\3.2.0opencv-3.2.0\modules\core\src\system.cpp, line 666 + 0x109 byte(s)
0x00007FFCDD71E173 (0x00007FFCDD71E0F0 0x000000AAD072ECD0 0x000000AAD072ECD0 0x0000000000000000), cv::dnn::Net::Impl::forwardLayer'::1'::catch$0() + 0x83 bytes(s), e:opencv3.2.0_sources\3.2.0opencv_contrib-3.2.0\modules\dnn\src\dnn.cpp, line 423 + 0x75 byte(s)
0x00007FFCF5F7C720 (0x00007FFCDD71E0F0 0x000000AAD071D1A8 0x0000000000000100 0x0000000000000000), __C_specific_handler() + 0x230 bytes(s)
0x00007FFCF5F72AE2 (0x0000000000000000 0x0000000000000000 0x000000AAD071E250 0x0000000000000000), __FrameUnwindFilter() + 0x432 bytes(s)
0x00007FFD1B94A193 (0x0000021CEA99E8B0 0x0000021CEAADBE08 0x0000021CE832FFE0 0x0000021C8222F7F0), RtlCaptureContext() + 0x3C3 bytes(s)
0x00007FFCDD601006 (0x0000021CEAADB720 0x0000021CEAADB748 0x0000000000000001 0x0000021CE8330008), cv::dnn::Net::Impl::forwardLayer() + 0x156 bytes(s), e:opencv3.2.0_sources\3.2.0opencv_contrib-3.2.0\modules\dnn\src\dnn.cpp, line 419 + 0x1B byte(s)
0x00007FFCDD600E4F (0x0000000000000000 0x000000AAD072ED90 0x0000021CE828CE70 0x0000021CE832FFE0), cv::dnn::Net::Impl::forwardAll() + 0x8F bytes(s), e:opencv3.2.0_sources\3.2.0opencv_contrib-3.2.0\modules\dnn\src\dnn.cpp, line 435
0x00007FFCDD600D7E (0x0000000000000046 0x000000AAD072EFA8 0x000000AAD072EEB0 0x0000000000000001), cv::dnn::Net::forward() + 0x9E bytes(s), e:opencv3.2.0_sources\3.2.0opencv_contrib-3.2.0\modules\dnn\src\dnn.cpp, line 503
0x00007FFCDD85CB5E (0x000000C3CD82EBAD 0x0000000000000001 0x00007FF679A68700 0x000000C3CD82EBAD), cv::gtr::TrackerGOTURNImpl::updateImpl() + 0xA5E bytes(s), e:opencv3.2.0_sources\3.2.0opencv_contrib-3.2.0\modules\tracking\src\gtrtracker.cpp, line 170 + 0x31 byte(s)
0x00007FF679A61FFB (0x00007FFD18E169F8 0x0000000000000000 0x00007FFD18E16A08 0x0000000000000000), main() + 0x5FB bytes(s), e:\tracking_goturn\tracking_goturn\source.cpp, line 168 + 0x1B byte(s)
0x00007FF679A632E8 (0x0000000000000000 0x0000000000000000 0x0000000000000000 0x0000000000000000), __scrt_common_main_seh() + 0x124 bytes(s), f:\dd\vctools\crt\vcstartup\src\startup\exe_common.inl, line 264 + 0x22 byte(s)
0x00007FFD1AC98364 (0x0000000000000000 0x0000000000000000 0x0000000000000000 0x0000000000000000), BaseThreadInitThunk() + 0x14 bytes(s)
0x00007FFD1B9070D1 (0x0000000000000000 0x0000000000000000 0x0000000000000000 0x0000000000000000), RtlUserThreadStart() + 0x21 bytes(s)
Not sure if there is a problem in my environment -_ i tried reverting builds to 3.1.0 , with no success. Or maybe I dont have the correct *.prototxt and *.caffemodel.
Am using the model and prototxt file given here :
https://github.com/opencv/opencv_extra/tree/c4219d5eb3105ed8e634278fad312a1a8d2c182d/testdata/tracking
Let me know what you guys think !
Steps to reproduce
bassamarshad
All 32 comments
/cc @Auron-X
lenlen
on 11 Jan 2017
@bassamarshad Thank you for detailed description of the bug in GOTURN. I will try to fix it ASAP
Auron-X
on 13 Jan 2017
Well apparently using #include
Don't know about second one
dev681999
on 30 Jan 2017
I'm getting exactly the same error on OpenCV 3.2.0 & opencv_contrib 3.2.0 (Ubuntu 16.04) after the selection of a bounding box:
OpenCV Error: Assertion failed (input.dims() == 4 && (input.type() == CV_32F || input.type() == CV_64F)) in allocate, file /home/guel/opencv_contrib/modules/dnn/src/layers/convolution_layer.cpp, line 87
OpenCV Error: Assertion failed (The following error occured while making allocate() for layer "conv11": input.dims() == 4 && (input.type() == CV_32F || input.type() == CV_64F)) in allocate, file /home/guel/opencv_contrib/modules/dnn/src/layers/convolution_layer.cpp, line 87
terminate called after throwing an instance of 'cv::Exception'
what(): /home/guel/opencv_contrib/modules/dnn/src/layers/convolution_layer.cpp:87: error: (-215) The following error occured while making allocate() for layer "conv11": input.dims() == 4 && (input.type() == CV_32F || input.type() == CV_64F) in function allocate
Could it be related to the .prototxt and .caffemodel files from opencv_extra repository? I used the same files as basamarshad.
serhan-gul
on 16 Feb 2017
Hello. I am still working on this bug, apparently there is some issue with dnn/tracking modules used in combo. For now you can try GOTURN outside of the OpenCV tracking API, using an example on my Github: https://github.com/Auron-X/GOTURN-Example
It also work on GPU ~100 FPS (on my GTX 1080) as the original paper stated
Auron-X
on 20 Feb 2017
Thanks to @LorenaGdL for the PR about this bug, I didn't meet this issue with latest code.
But I met another error below:
OpenCV Error: Requested object was not found (Requested blob ".data1" not found) in cv::dnn::Net::setBlob, file C:\opencv3_2\opencv_contrib-master\modules\dnn\src\dnn.cpp, line 516
It seems that there's something wrong in gtrTracker.cpp line 167:
dnn::Blob targetBlob = dnn::Blob::fromImages(targetPatch);
dnn::Blob searchBlob = dnn::Blob::fromImages(searchPatch);
(line 167) net.setBlob(".data1", targetBlob);
net.setBlob(".data2", searchBlob);
I just download *.ptototxt and *.caffemodel, and put them to my VS program folder. Then add "path to test video" in Command Arguments. BTW, my main.cpp is below:
#include <opencv2/core/utility.hpp>
#include <opencv2/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <cstring>
using namespace std;
using namespace cv;
int main(int argc, char** argv){
// show help
if (argc<2){
cout <<
" Usage: tracker <video_name>\n"
" examples:\n"
" example_tracking_kcf Bolt/img/%04d.jpg\n"
" example_tracking_kcf faceocc2.webm\n"
<< endl;
return 0;
}
// declares all required variables
Rect2d roi;
Mat frame;
// create a tracker object
Ptr<Tracker> tracker = Tracker::create("GOTURN");
// set input video
std::string video = argv[1];
VideoCapture cap(video);
// get bounding box
cap >> frame;
roi = selectROI("tracker", frame);
//quit if ROI was not selected
if (roi.width == 0 || roi.height == 0)
return 0;
// initialize the tracker
tracker->init(frame, roi);
// perform the tracking process
printf("Start the tracking process, press ESC to quit.\n");
for (;;){
// get frame from the video
cap >> frame;
// stop the program if no more images
if (frame.rows == 0 || frame.cols == 0)
break;
// update the tracking result
tracker->update(frame, roi);
// draw the tracked object
rectangle(frame, roi, Scalar(255, 0, 0), 2, 1);
// show image with the tracked object
imshow("tracker", frame);
//quit on ESC button
if (waitKey(1) == 27)break;
}
return 0;
}
I don't know how to fix it, I will be appreciate if anyone can help me.
Chen-Su
on 7 Mar 2017
@ChaselS314 I have the same problem with you when i use GOTURN on latest code.
It seems that getPinByAlias() return a invalid variable pin when parser the '.data1' by splitPin() in dnn.cpp line 296&266:
LayerPin getPinByAlias(const String &pinAlias, bool isOutPin = true)
{
LayerPin pin;
String layerName, outName;
splitPin(pinAlias, layerName, outName);
pin.lid = (layerName.empty()) ? 0 : getLayerId(layerName);
if (pin.lid >= 0)
pin.oid = resolvePinOutputName(getLayerData(pin.lid), outName, isOutPin);
return pin;
}
Therefore， setBlob() raise an error about ‘.data1’.
void Net::setBlob(String outputName, const Blob &blob)
{
LayerPin pin = impl->getPinByAlias(outputName);
if (!pin.valid())
CV_Error(Error::StsObjectNotFound, "Requested blob \"" + outputName + "\" not found");
LayerData &ld = impl->layers[pin.lid];
ld.outputBlobs.resize( std::max(pin.oid+1, (int)ld.requiredOutputs.size()) );
ld.outputBlobs[pin.oid] = blob;
}
But I am not familliar with C++ so i do not know how to solve it.
xiaochus
on 11 Mar 2017
Still getting this error on OpenCV 3.2 and Ubuntu 14.04, CUDA 8.0 Titan X GPU
puneetdabulya
on 16 Mar 2017
@ChaselS314, @xiaochus OpenCV Error: Requested object was not found (Requested blob ".data1" not found) in cv::dnn::Net::setBlob, file C:opencv3_2opencv_contrib-master\modules\dnn\src\dnn.cpp, line 516
The above error seems to be caused by the mismatching of the goturn.prototxt file.
I received the file from the following site.
Https://github.com/opencv/opencv_extra/tree/c4219d5eb3105ed8e634278fad312a1a8d2c182d/testdata/tracking
The following command merge four files into one.
cat goturn.caffemodel.zip.001 goturn.caffemodel.zip.002 goturn.caffemodel.zip.003 goturn.caffemodel.zip.004 > goturn.caffemodel
However, an error still occurs.
The error message is as follows.
OpenCV Error: Assertion failed ((bias && l-> blobs.size () == 2) || (! Bias && l-> b
Lobs.size () == 1)) in cv :: dnn :: initConvDeconvLayerFromCaffe, file D: \ Program \ ope
Ncv-dnn \ opencv_contrib-master \ opencv_contrib-master \ modules \ dnn \ src \ caffe \ layer_
Loaders.cpp, line 30
in my case : l-> blobs.size () is 0.
hacunamatada
on 24 Mar 2017
[libprotobuf ERROR /opt/opencv/320deb/modules/dnn/3rdparty/protobuf/sources/protobuf-3.1.0/src/google/protobuf/text_format.cc:298] Error parsing text-format caffe.NetParameter: 7:1: Expected identifier, got: <
OpenCV Error: Unspecified error (FAILED: ReadProtoFromTextFile(param_file, param). Failed to parse NetParameter file: goturn.prototxt) in ReadNetParamsFromTextFileOrDie, file /opt/opencv/opencv_contrib-3.2.0/modules/dnn/src/caffe/caffe_io.cpp, line 1101
/opt/opencv/opencv_contrib-3.2.0/modules/dnn/src/caffe/caffe_io.cpp:1101: error: (-2) FAILED: ReadProtoFromTextFile(param_file, param). Failed to parse NetParameter file: goturn.prototxt in function ReadNetParamsFromTextFileOrDie
OpenCV Error: Unspecified error (GOTURN network loading error...) in cv::gtr::InitImpl, file gtrTracker.cpp, line 117
terminate called after throwing an instance of 'cv::Exception'
what(): gtrTracker.cpp:117: error: (-2) GOTURN network loading error... in function cv::gtr::InitImpl
isgursoy
on 5 Apr 2017
I get the following exotic errors when trying to run GOTURN via OpenCV:
OpenCV Error: Assertion failed ((bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1)) in initConvDeconvLayerFromCaffe, file /opencv/opencv_contrib-3.2.0/modules/dnn/src/caffe/layer_loaders.cpp, line 27
OpenCV Error: Assertion failed (The following error occured while making allocate() for layer "conv11": (bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1)) in initConvDeconvLayerFromCaffe, file /opencv/opencv_contrib-3.2.0/modules/dnn/src/caffe/layer_loaders.cpp, line 27
Traceback (most recent call last):
File "pipeline.py", line 32, in <module>
ok, bbox = tracker.update(im)
cv2.error: /opencv/opencv_contrib-3.2.0/modules/dnn/src/caffe/layer_loaders.cpp:27: error: (-215) The following error occured while making allocate() for layer "conv11": (bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1) in function initConvDeconvLayerFromCaffe
I am also a bit confused by the comment here https://github.com/opencv/opencv_contrib/blob/master/modules/tracking/samples/goturnTracker.cpp where it says
//Demo of GOTURN tracker
//In order to use GOTURN tracker, GOTURN architecture goturn.prototxt and goturn.caffemodel are > required to exist in root folder.
//There are 2 ways to get caffemodel:
//1 - Train you own GOTURN model using https://github.com/Auron-X/GOTURN_Training_Toolkit
//2 - Download pretrained caffemodel from https://github.com/opencv/opencv_extra
As the OpenCV Extra repo doesn't seem to contain any Goturn caffemodel, pretrained or otherwise. I downloaded it from http://cs.stanford.edu/people/davheld/public/GOTURN/trained_model/tracker.caffemodel instead. Is that is what is intended, or is it some other .caffemodel file one is supposed to use?
ahrnbom
on 10 May 2017
I think something is weird in those lines. In my goturn.prototxt there is no .data1 and .data2 field only data1 and data2
if I delete point before data then exception given by @lChaselS314 doest not occur :
OpenCV Error: Requested object was not found (Requested blob ".data1" not found) in cv::dnn::Net::setBlob, file C:\opencv3_2\opencv_contrib-master\modules\dnn\src\dnn.cpp, line 516
my goturn.prototxt file is
name: "GOTURN"
input: "data1"
input_dim: 1
input_dim: 3
input_dim: 227
input_dim: 227
input: "data2"
input_dim: 1
input_dim: 3
input_dim: 227
input_dim: 227
layer {
name: "conv11"
type: "Convolution"
bottom: "data1"
top: "conv11"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 11
stride: 4
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu11"
type: "ReLU"
bottom: "conv11"
top: "conv11"
}
layer {
name: "pool11"
type: "Pooling"
bottom: "conv11"
top: "pool11"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm11"
type: "LRN"
bottom: "pool11"
top: "norm11"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv12"
type: "Convolution"
bottom: "norm11"
top: "conv12"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 2
kernel_size: 5
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu12"
type: "ReLU"
bottom: "conv12"
top: "conv12"
}
layer {
name: "pool12"
type: "Pooling"
bottom: "conv12"
top: "pool12"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm12"
type: "LRN"
bottom: "pool12"
top: "norm12"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv13"
type: "Convolution"
bottom: "norm12"
top: "conv13"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu13"
type: "ReLU"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv14"
type: "Convolution"
bottom: "conv13"
top: "conv14"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu14"
type: "ReLU"
bottom: "conv14"
top: "conv14"
}
layer {
name: "conv15"
type: "Convolution"
bottom: "conv14"
top: "conv15"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu15"
type: "ReLU"
bottom: "conv15"
top: "conv15"
}
layer {
name: "pool15"
type: "Pooling"
bottom: "conv15"
top: "pool15"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "conv21"
type: "Convolution"
bottom: "data2"
top: "conv21"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 11
stride: 4
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu21"
type: "ReLU"
bottom: "conv21"
top: "conv21"
}
layer {
name: "pool21"
type: "Pooling"
bottom: "conv21"
top: "pool21"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm21"
type: "LRN"
bottom: "pool21"
top: "norm21"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv22"
type: "Convolution"
bottom: "norm21"
top: "conv22"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 2
kernel_size: 5
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu22"
type: "ReLU"
bottom: "conv22"
top: "conv22"
}
layer {
name: "pool22"
type: "Pooling"
bottom: "conv22"
top: "pool22"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm22"
type: "LRN"
bottom: "pool22"
top: "norm22"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv23"
type: "Convolution"
bottom: "norm22"
top: "conv23"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu23"
type: "ReLU"
bottom: "conv23"
top: "conv23"
}
layer {
name: "conv24"
type: "Convolution"
bottom: "conv23"
top: "conv24"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu24"
type: "ReLU"
bottom: "conv24"
top: "conv24"
}
layer {
name: "conv25"
type: "Convolution"
bottom: "conv24"
top: "conv25"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu25"
type: "ReLU"
bottom: "conv25"
top: "conv25"
}
layer {
name: "pool25"
type: "Pooling"
bottom: "conv25"
top: "pool25"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "concat1"
type: "Concat"
bottom: "pool15"
bottom: "pool25"
top: "poolConcat"
}
layer {
name: "fc6"
type: "InnerProduct"
bottom: "poolConcat"
top: "fc6"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu6"
type: "ReLU"
bottom: "fc6"
top: "fc6"
}
layer {
name: "drop6"
type: "Dropout"
bottom: "fc6"
top: "fc6"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc7"
type: "InnerProduct"
bottom: "fc6"
top: "fc7"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu7"
type: "ReLU"
bottom: "fc7"
top: "fc7"
}
layer {
name: "drop7"
type: "Dropout"
bottom: "fc7"
top: "fc7"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc8"
type: "InnerProduct"
bottom: "fc7"
top: "fc8"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "scale"
bottom: "fc8"
top: "out"
type: "Power"
power_param {
power: 1
scale: 10
shift: 0
}
}
LaurentBerger
on 3 Aug 2017
Dear All,
Has this issue been fixed ?, is there a example code for the same .
mohandsp
on 11 Aug 2017
I changed
net.setInput(targetBlob, ".data1");
net.setInput(searchBlob, ".data2");
to
net.setInput(targetBlob, "data1");
net.setInput(searchBlob, "data2");
and it no longer crashes, (btw very slow)
nefethael
on 18 Aug 2017
In goturn.prototxt,
replace all "data1" to ".data1" & "data2" to ".data2"
It's working for me
nisssal
on 28 Oct 2017
OpenCV Error: Requested object was not found (Requested blob "data1" not found)
gloomyfish1998
on 3 Nov 2017
OpenCV goturn did not work at all, i just download the files and run from my machine with codes not Tracker API, i get this issue, anyone else got the same issue on this, or any suggestion //?
thanks in advance
gloomyfish1998
on 3 Nov 2017
//Convert to Float type
targetPatch.convertTo(targetPatch, CV_32F);
searchPatch.convertTo(searchPatch, CV_32F);
Mat targetBlob = blobFromImage(targetPatch);
Mat searchBlob = blobFromImage(searchPatch);
net.setInput(targetBlob, "data1");
net.setInput(searchBlob, "data2");
Mat res = net.forward("scale");
Mat resMat = res.reshape(1, 1);
can work now, i loaded the wrong net var...
gloomyfish1998
on 3 Nov 2017
Hi, I got the same error as yours. Could you gui me how to load the right net var?? Thank you.
nvnnghia
on 9 Nov 2017
just refer to the source code - gtrTracker.cpp
and run net file with dnn modules, everything will run correctly! forget tracking module.....
gloomyfish1998
on 10 Nov 2017
Thank for your reply. I spent one day to get goturn to work. But not success. I got this error:
OpenCV Error: Assertion failed ((bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1)) in initConvDeconvLayerFromCaffe, file /home/nghia/opencv/modules/dnn/src/layers/convolution_layer.cpp, line 1204
terminate called after throwing an instance of 'cv::Exception'
what(): /home/nghia/opencv/modules/dnn/src/layers/convolution_layer.cpp:1204: error: (-215) (bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1) in function initConvDeconvLayerFromCaffe.
I got the model here: https://github.com/opencv/opencv_extra/tree/c4219d5eb3105ed8e634278fad312a1a8d2c182d/testdata/tracking
Could you please share your model and a test code. Or do you have any suggestion. Thank you very much.
nvnnghia
on 10 Nov 2017
can work now, performance and speed are not good
nvnnghia
on 14 Nov 2017
ohh~~~
paper said -> 100FPS based on GPU, very poor on my machine with CPU core i5,
gloomyfish1998
on 14 Nov 2017
I think there is an error in TrackerGOTURNImpl::updateImpl function:
https://github.com/opencv/opencv_contrib/blob/master/modules/tracking/src/gtrTracker.cpp#L152
//Mean Subtract
targetPatch = targetPatch - 128;
searchPatch = searchPatch - 128;
targetPatch and searchPatch are of type unsigned char which means the result of the above commands will be saturated to zero for elements smaller than 128.
adavoudi
on 14 Nov 2017
I got this error:
OpenCV Error: Assertion failed (blobs.size() != 0) in getMemoryShapes, file /tmp/opencv-20171112-69002-161xh9l/opencv-3.3.1/modules/dnn/src/layers/convolution_layer.cpp, line 175
libc++abi.dylib: terminating with uncaught exception of type cv::Exception: /tmp/opencv-20171112-69002-161xh9l/opencv-3.3.1/modules/dnn/src/layers/convolution_layer.cpp:175: error: (-215) blobs.size() != 0 in function getMemoryShapes
what is the reason
silentshitx
on 20 Nov 2017
Dear Author:
I got this error:
yanghongnan@TITAN-X:/home/sdc/yanghongnan/GOTURN-master$ bash scripts/train.sh /home/sdc/yanghongnan/GOTURN-master/data/ImageNet/Image/ /home/sdc/yanghongnan/GOTURN-master/data/ImageNet/Annotations/ /home/sdc/yanghongnan/GOTURN-master/data/ALOV/Image/ /home/sdc/yanghongnan/GOTURN-master/data/ALOV/Annotation/
FOLDER: GOTURN1
LAMBDA_SCALE: 15
LAMBDA_SHIFT: 5
Using random seed: 800
Setting up Caffe in GPU mode with ID: 0
Found 7 subfolders...
Loading images, please wait...
Found 9999 annotations
*** Error in `build/train': free(): invalid pointer: 0x000000000c506040 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7fbdcdc6e7e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7fbdcdc7737a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7fbdcdc7b53c]
build/train(_ZN17LoaderImagenetDet18LoadAnnotationFileERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPSt6vectorI10AnnotationSaIS9_EE+0xb6)[0x42e456]
build/train(_ZN17LoaderImagenetDetC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES7_+0x9db)[0x42f82b]
build/train(main+0x178)[0x40ff58]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf0)[0x7fbdcdc17830]
build/train(_start+0x29)[0x410ed9]
======= Memory map: ========
00400000-00449000 r-xp 00000000 08:20 105906349 /home/sdc/yanghongnan/GOTURN-master/build/train
00649000-0064a000 r--p 00049000 08:20 105906349 /home/sdc/yanghongnan/GOTURN-master/build/train
0064a000-0064b000 rw-p 0004a000 08:20 105906349 /home/sdc/yanghongnan/GOTURN-master/build/train
024f4000-0c5c8000 rw-p 00000000 00:00 0 [heap]
10000000-10001000 rw-s 00000000 00:06 623 /dev/nvidia3
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10010000-20000000 ---p 00000000 00:00 0
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7fbdaef5b000-7fbdaef62000 r-xp 00000000 fc:00 8007828 /usr/lib/x86_64-linux-gnu/libmircore.so.1
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7fbdaf164000-7fbdaf1e9000 r-xp 00000000 fc:00 8008034 /usr/lib/x86_64-linux-gnu/libcapnp-0.5.3.so
7fbdaf1e9000-7fbdaf3e8000 ---p 00085000 fc:00 8008034 /usr/lib/x86_64-linux-gnu/libcapnp-0.5.3.so
7fbdaf3e8000-7fbdaf3eb000 r--p 00084000 fc:00 8008034 /usr/lib/x86_64-linux-gnu/libcapnp-0.5.3.so
7fbdaf3eb000-7fbdaf3ec000 rw-p 00087000 fc:00 8008034 /usr/lib/x86_64-linux-gnu/libcapnp-0.5.3.so
7fbdaf3ec000-7fbdaf45b000 r-xp 00000000 fc:00 8007830 /usr/lib/x86_64-linux-gnu/libmirprotobuf.so.3
7fbdaf45b000-7fbdaf65a000 ---p 0006f000 fc:00 8007830 /usr/lib/x86_64-linux-gnu/libmirprotobuf.so.3
7fbdaf65a000-7fbdaf65d000 r--p 0006e000 fc:00 8007830 /usr/lib/x86_64-linux-gnu/libmirprotobuf.so.3
7fbdaf65d000-7fbdaf65e000 rw-p 00071000 fc:00 8007830 /usr/lib/x86_64-linux-gnu/libmirprotobuf.so.3
7fbdaf65e000-7fbdaf6a2000 r-xp 00000000 fc:00 8007829 /usr/lib/x86_64-linux-gnu/libmircommon.so.7
7fbdaf6a2000-7fbdaf8a2000 ---p 00044000 fc:00 8007829 /usr/lib/x86_64-linux-gnu/libmircommon.so.7
7fbdaf8a2000-7fbdaf8a4000 r--p 00044000 fc:00 8007829 /usr/lib/x86_64-linux-gnu/libmircommon.so.7
7fbdaf8a4000-7fbdaf8a5000 rw-p 00046000 fc:00 8007829 /usr/lib/x86_64-linux-gnu/libmircommon.so.7
7fbdaf8a5000-7fbdaf8bc000 r-xp 00000000 fc:00 7209158 /lib/x86_64-linux-gnu/libresolv-2.23.so
7fbdaf8bc000-7fbdafabc000 ---p 00017000 fc:00 7209158 /lib/x86_64-linux-gnu/libresolv-2.23.so
7fbdafabc000-7fbdafabd000 r--p 00017000 fc:00 7209158 /lib/x86_64-linux-gnu/libresolv-2.23.so
7fbdafabd000-7fbdafabe000 rw-p 00018000 fc:00 7209158 /lib/x86_64-linux-gnu/libresolv-2.23.so
7fbdafabe000-7fbdafac0000 rw-p 00000000 00:00 0
7fbdafac0000-7fbdafadf000 r-xp 00000000 fc:00 7209552 /lib/x86_64-linux-gnu/libselinux.so.1
7fbdafadf000-7fbdafcde000 ---p 0001f000 fc:00 7209552 /lib/x86_64-linux-gnu/libselinux.so.1
7fbdafcde000-7fbdafcdf000 r--p 0001e000 fc:00 7209552 /lib/x86_64-linux-gnu/libselinux.so.1
7fbdafcdf000-7fbdafce0000 rw-p 0001f000 fc:00 7209552 /lib/x86_64-linux-gnu/libselinux.so.1
7fbdafce0000-7fbdafce2000 rw-p 00000000 00:00 0
7fbdafce2000-7fbdafd08000 r-xp 00000000 fc:00 7208992 /lib/x86_64-linux-gnu/libexpat.so.1.6.0
7fbdafd08000-7fbdaff08000 ---p 00026000 fc:00 7208992 /lib/x86_64-linux-gnu/libexpat.so.1.6.0
7fbdaff08000-7fbdaff0a000 r--p 00026000 fc:00 7208992 /lib/x86_64-linux-gnu/libexpat.so.1.6.0
7fbdaff0a000-7fbdaff0b000 rw-p 00028000 fc:00 7208992 /lib/x86_64-linux-gnu/libexpat.so.1.6.0
7fbdaff0b000-7fbdaff13000 r-xp 00000000 fc:00 8004271 /usr/lib/x86_64-linux-gnu/libthai.so.0.2.4
7fbdaff13000-7fbdb0112000 ---p 00008000 fc:00 8004271 /usr/lib/x86_64-linux-gnu/libthai.so.0.2.4
7fbdb0112000-7fbdb0113000 r--p 00007000 fc:00 8004271 /usr/lib/x86_64-linux-gnu/libthai.so.0.2.4
7fbdb0113000-7fbdb0114000 rw-p 00008000 fc:00 8004271 /usr/lib/x86_64-linux-gnu/libthai.so.0.2.4
7fbdb0114000-7fbdb0170000 r-xp 00000000 fc:00 8004275 /usr/lib/x86_64-linux-gnu/libharfbuzz.so.0.10000.1
7fbdb0170000-7fbdb0370000 ---p 0005c000 fc:00 8004275 /usr/lib/x86_64-linux-gnu/libharfbuzz.so.0.10000.1
7fbdb0370000-7fbdb0371000 r--p 0005c000 fc:00 8004275 /usr/lib/x86_64-linux-gnu/libharfbuzz.so.0.10000.1
7fbdb0371000-7fbdb0372000 rw-p 0005d000 fc:00 8004275 /usr/lib/x86_64-linux-gnu/libharfbuzz.so.0.10000.1
7fbdb0372000-7fbdb03bc000 r-xp 00000000 fc:00 7213251 /lib/x86_64-linux-gnu/libdbus-1.so.3.14.6
7fbdb03bc000-7fbdb05bc000 ---p 0004a000 fc:00 7213251 /lib/x86_64-linux-gnu/libdbus-1.so.3.14.6
7fbdb05bc000-7fbdb05bd000 r--p 0004a000 fc:00 7213251 /lib/x86_64-linux-gnu/libdbus-1.so.3.14.6
7fbdb05bd000-7fbdb05be000 rw-p 0004b000 fc:00 7213251 /lib/x86_64-linux-gnu/libdbus-1.so.3.14.6
7fbdb05be000-7fbdb05ea000 r-xp 00000000 fc:00 8008020 /usr/lib/x86_64-linux-gnu/libatspi.so.0.0.1
7fbdb05ea000-7fbdb07e9000 ---p 0002c000 fc:00 8008020 /usr/lib/x86_64-linux-gnu/libatspi.so.0.0.1
7fbdb07e9000-7fbdb07ec000 r--p 0002b000 fc:00 8008020 /usr/lib/x86_64-linux-gnu/libatspi.so.0.0.1
7fbdb07ec000-7fbdb07ed000 rw-p 0002e000 fc:00 8008020 /usr/lib/x86_64-linux-gnu/libatspi.so.0.0.1
7fbdb07ed000-7fbdb20a3000 r-xp 00000000 fc:00 7996122 /usr/lib/x86_64-linux-gnu/libicudata.so.55.1
7fbdb20a3000-7fbdb22a2000 ---p 018b6000 fc:00 7996122 /usr/lib/x86_64-linux-gnu/libicudata.so.55.1
7fbdb22a2000-7fbdb22a3000 r--p 018b5000 fc:00 7996122 /usr/lib/x86_64-linux-gnu/libicudata.so.55.1
7fbdb22a3000-7fbdb22a4000 rw-p 018b6000 fc:00 7996122 /usr/lib/x86_64-linux-gnu/libicudata.so.55.1
7fbdb22a4000-7fbdb23cd000 r-xp 00000000 fc:00 7995896 /usr/lib/x86_64-linux-gnu/libgfortran.so.3.0.0
7fbdb23cd000-7fbdb25cc000 ---p 00129000 fc:00 7995896 /usr/lib/x86_64-linux-gnu/libgfortran.so.3.0.0
7fbdb25cc000-7fbdb25cd000 r--p 00128000 fc:00 7995896 /usr/lib/x86_64-linux-gnu/libgfortran.so.3.0.0
7fbdb25cd000-7fbdb25cf000 rw-p 00129000 fc:00 7995896 /usr/lib/x86_64-linux-gnu/libgfortran.so.3.0.0
7fbdb25cf000-7fbdb2966000 r-xp 00000000 fc:00 9833117 /usr/lib/atlas-base/libatlas.so.3.0
7fbdb2966000-7fbdb2b66000 ---p 00397000 fc:00 9833117 /usr/lib/atlas-base/libatlas.so.3.0
7fbdb2b66000-7fbdb2b6d000 rw-p 00397000 fc:00 9833117 /usr/lib/atlas-base/libatlas.so.3.0
7fbdb2b6d000-7fbdb2b6f000 r-xp 00000000 fc:00 7209162 /lib/x86_64-linux-gnu/libutil-2.23.so
7fbdb2b6f000-7fbdb2d6e000 ---p 00002000 fc:00 7209162 /lib/x86_64-linux-gnu/libutil-2.23.so
7fbdb2d6e000-7fbdb2d6f000 r--p 00001000 fc:00 7209162 /lib/x86_64-linux-gnu/libutil-2.23.so
7fbdb2d6f000-7fbdb2d70000 rw-p 00002000 fc:00 7209162 /lib/x86_64-linux-gnu/libutil-2.23.so
7fbdb2d70000-7fbdb2d77000 r-xp 00000000 fc:00 8004437 /usr/lib/x86_64-linux-gnu/libsnappy.so.1.3.0
7fbdb2d77000-7fbdb2f76000 ---p 00007000 fc:00 8004437 /usr/lib/x86_64-linux-gnu/libsnappy.so.1.3.0
7fbdb2f76000-7fbdb2f77000 r--p 00006000 fc:00 8004437 /usr/lib/x86_64-linux-gnu/libsnappy.so.1.3.0
7fbdb2f77000-7fbdb2f78000 rw-p 00007000 fc:00 8004437 /usr/lib/x86_64-linux-gnu/libsnappy.so.1.3.0
7fbdb2f78000-7fbdb2f7a000 r-xp 00000000 fc:00 8005046 /usr/lib/x86_64-linux-gnu/libsz.so.2.0.1
7fbdb2f7a000-7fbdb3179000 ---p 00002000 fc:00 8005046 /usr/lib/x86_64-linux-gnu/libsz.so.2.0.1
7fbdb3179000-7fbdb317a000 r--p 00001000 fc:00 8005046 /usr/lib/x86_64-linux-gnu/libsz.so.2.0.1
7fbdb317a000-7fbdb317b000 rw-p 00002000 fc:00 8005046 /usr/lib/x86_64-linux-gnu/libsz.so.2.0.1
7fbdb317b000-7fbdb3180000 r-xp 00000000 fc:00 8004498 /usr/lib/x86_64-linux-gnu/libIlmThread-2_2.so.12.0.0
7fbdb3180000-7fbdb3380000 ---p 00005000 fc:00 8004498 /usr/lib/x86_64-linux-gnu/libIlmThread-2_2.so.12.0.0
7fbdb3380000-7fbdb3381000 r--p 00005000 fc:00 8004498 /usr/lib/x86_64-linux-gnu/libIlmThread-2_2.so.12.0.0
7fbdb3381000-7fbdb3382000 rw-p 00006000 fc:00 8004498 /usr/lib/x86_64-linux-gnu/libIlmThread-2_2.so.12.0.0
7fbdb3382000-7fbdb339d000 r-xp 00000000 fc:00 8004497 /usr/lib/x86_64-linux-gnu/libIex-2_2.so.12.0.0scripts/train.sh: line 48: 11809 Aborted (core dumped) build/train $VIDEOS_FOLDER_IMAGENET $ANNOTATIONS_FOLDER_IMAGENET $VIDEOS_FOLDER $ANNOTATIONS_FOLDER $CAFFE_MODEL $TRAIN_PROTO $SOLVER_TEMP $LAMBDA_SHIFT $LAMBDA_SCALE $MIN_SCALE $MAX_SCALE $GPU_ID $RANDOM_SEED 2> $RESULT_DIR/results.txt
Could you help me find the reason?
Thanks a lot!
HnanYang
on 20 Aug 2018
@HnanYang Why do you think that this problem should be fixed in OpenCV? I don't see any OpenCV calls in stacktraces.
alalek
on 20 Aug 2018
@alalek emm... I asked a question in the wrong place. But this Error bothered me for a long time
HnanYang
on 20 Aug 2018
Hi all,
Does anyone know what this error means:
File "<ipython-input-10-dbddf5ead724>", line 1, in <module>
ok = tracker.init(frame,bbox)
error: OpenCV(3.4.1) C:\bld\opencv_1520732263159\work\opencv-3.4.1\modules\core\src\matrix.cpp:362: error: (-215) u != 0 in function cv::Mat::create
I compiled opencv 3.4.1 from anaconda using:
conda install -c conda-forge opencv
conda install -c conda-forge/label/broken opencv
The tracker can be created but cannot be initialized. Using the .prototxt and .caffemodel from this tutorial: https://www.learnopencv.com/goturn-deep-learning-based-object-tracking/
Running in Spyder, Python 3.6.2, Anaconda custom (32-bit), Windows 7. Do I need to build opencv from source?
RJVisee44
on 4 Sep 2018
Hey everyone
I try to use goturn tracker and it gave me this error when I try do to init
cv2.error: OpenCV(4.1.2) /io/opencv/modules/dnn/src/caffe/caffe_io.cpp:1121: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "goturn.prototxt" in function 'ReadProtoFromTextFile'
I like to know what do you think
p779
on 26 Jan 2020
Take a closer look at the solution in the tutorial.
zihaozhang9
on 16 Feb 2020
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Most helpful comment
Thanks to @LorenaGdL for the PR about this bug, I didn't meet this issue with latest code.
But I met another error below:
OpenCV Error: Requested object was not found (Requested blob ".data1" not found) in cv::dnn::Net::setBlob, file C:\opencv3_2\opencv_contrib-master\modules\dnn\src\dnn.cpp, line 516It seems that there's something wrong in gtrTracker.cpp line 167:
I just download *.ptototxt and *.caffemodel, and put them to my VS program folder. Then add "path to test video" in Command Arguments. BTW, my main.cpp is below:
I don't know how to fix it, I will be appreciate if anyone can help me.