I am trying to run the letter_recog.cpp example with the 64-bit OpenCV 3. But during the process, it report the debug: Expression: vector subscript out of range.
When I step into the OpenCV source code to find out what is wrong, and it stops at the line of the memcpy(&subsets[split.subsetOfs], &w->wsubsets[wsplit.subsetOfs], ssize*sizeof(int));.
It is one line of the function int DTreesImpl::addTree(const vector& sidx ).
In the letter_recog.cpp example, I choose the build_rtrees_classifier. The train data after the prepare_train_data(data, responses, ntrain_samples) is
And the debug error happens in the function of model = StatModel::train(tdata, RTrees::Params(10,10,0,false,15,Mat(),true,4,TC(100,0.01f)));
Can anyone tell me what is wrong? Or how can I run the `letter_recog.cpp example successfully? Because I do not have enough reputation points, I can not post image.
Thanks a lot!`
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I am trying to get the demo code for Detectron2 working locally on my laptop. Everything appears to run correctly, but no object instances are detected, even when I use the image from the Colab demo.
I am running on a non-GPU Mac. I followed the installation instructions to install Detectron. I have the following module versions on my machine:
detectron2#git+https://github.com/facebookresearch/detectron2.git#ea3b3f22bf1de58008599794f149149ff65d3780
opencv-python==4.5.3.56
torch==1.9.0
torchvision==0.10.0
I copied demo.py, predictor.py, mask_rcnn_R_101_FPN_3x.yaml, and Base-RCNN-FPN.yaml from Detectron's github. I then ran inference demo with pretrained model command. The specific command was this:
python demo.py --input 000000439715.jpeg --output output --config-file mask_rcnn_R_101_FPN_3x.yaml --opts MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl MODEL.DEVICE cpu
000000439715.jpeg is the sample image of the man on horseback from the Colab notebook demo. The last line of the output is
000000439715.jpeg: detected 0 instances in 6.77s
The image in the output directory has no annotation on it.
The logging output looks okay to me. The only thing that may be an indication of a problem is a warning at the top
[08/28 12:35:18 detectron2]: Arguments: Namespace(confidence_threshold=0.5, config_file='mask_rcnn_R_101_FPN_3x.yaml', input=['000000439715.jpeg'], opts=['MODEL.WEIGHTS', 'detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl', 'MODEL.DEVICE', 'cpu'], output='output', video_input=None, webcam=False)
[08/28 12:35:18 fvcore.common.checkpoint]: [Checkpointer] Loading from detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl ...
[08/28 12:35:18 fvcore.common.checkpoint]: Reading a file from 'Detectron2 Model Zoo'
WARNING [08/28 12:35:19 fvcore.common.checkpoint]: Some model parameters or buffers are not found in the checkpoint:
I'm not sure what to do about it though.
I tried not specifying the model weights. I also tried setting the confidence threshold to zero. I got the same results.
Am I doing something wrong? What are the next debugging steps?
I met the same question with you, just like:
WARNING [xxxxxxxxx fvcore.common.checkpoint]: Some model parameters or buffers are not found in the checkpoint:
and this warning made my result very bad. Finally I found that I use a wrong weight file.
Hope this can help you.
I am trying a code from tutorial to test the marker-less AR experience with OpenCV + OpenGL. But the problem is that when I compiled the code I found out that there is an error with the following segment of code:
cv::Ptr<cv::DescriptorExtractor> extractor = cv::FREAK(false, false),
and the error is:
FREAK is not a member of cv.
So, can someone tell me why is that happening? I have tried to search for a solution and tried to solve as much as I can but every time I got error.
The question is related to the OpenCV library, version 2.4.13.2.
I am using n dimensional feature vectors from images for training and performing regression. The output values range between 0 and 255.
The function CvSVM::train works without an error, but requires a manual setting of parameters. So, I would prefer using the function CvSVM::train_auto to perform cross validation and determine the best parameters for the situation.
But I am facing the error:
OpenCV Error: Assertion failed (sv_count != 0) in CvSVM::do_train.
On changing the type to NU_SVR, it works well. The problem is only with type EPS_SVR.
I would appreciate any help I could receive to fix this.
EDIT: I was able to pinpoint the problem to line Number 1786 in the file-
opencv-master\sources\modules\ml\src\svm.cpp
FOR_IN_GRID(p, p_grid)
Upon commenting it, the code runs without errors. I am unaware of the reasons possible.
Facing the same bug. Found out that this bug was caused by svm.setP(x) and svm.setTermCriteria((cv2.TERM_CRITERIA_EPS, y)) where x and y values more than 0.1 (10^-1).
The Point Cloud library comes with an executable pcl_hdl_viewer_simple that I can run (./pcl_hdl_viewer_simple) without any extra arguments to get live data from a Velodyne LIDAR HDL32.
The source code for this program is supposed to be hdl_viewer_simple.cpp. A simplified version of the code is given on this page which cannot be compiled readily and requires a tiny bit of tweaking to make it compile.
My problem is that the executable that I build myself for both the versions are not able to run. I always get the smart pointer error "Assertion px!=0" error. I am not sure if I am not executing the program in the correct way or what. The executable is supposed to be executed like
./hdl_viewer_simple -calibrationFile hdl32calib.xml -pcapFile file.pcap
in case of playing from previously recorded PCAP files or just ./hdl_viewer_simple if wanting to get live data from the real sensor. However, I always get the assertion failed error.
Has anyone been able to run the executables? I do not want to use the ROS drivers
"Assertion px!=0" is occurring because your pointer is not initialized.
Now that being said, you could initialize it inside your routines, in case the pointer is NULL, especially for data input.
in here, you can try updating the line 83 like this :
CloudConstPtr cloud(new Cloud); //initializing your pointer
and hopefully, it will work.
Cheers,
When I run opencv to show an image, I got an error like the image.
String index out of range: -8
The code is from Opencv website:
http://docs.opencv.org/doc/tutorials/introduction/display_image/display_image.html
Like it is mentioned in the tutorial, you need to call your program by command line with an argument which is the path to your image :
./DisplayImage HappyFish.jpg //From the tutorial
The arguments you pass to an application are stored in argv and counted by argc. The first parameter is always the path of your own application.
If this don't helps you, you'll need to show us some codes and logs (what is the exact error message, etc.)