RedOne88

It would just remplace OrbDescriptorExtractor extractor by Ptr extractor = ORB::create(); and extractor.compute(img_left, kpl, img_left_desc); by extractor->compute(img_left, kpl, img_left_desc);

Hi, I find your work very interesting. I have a question that has been previously asked. Do you have a code that allows testing the model on a video, for...

Thank you for your reply. I was able to find your results on your test images. Thank you so much. However, I tried to test it on gray images, it...

Hello, and thank you for all your answers. Could you help me please? I managed to install a graphics card with a size 1g gpu. I started training, but considering...

thank you so much for your response. I will test what you have offered for me. I have a last question, considering the incredible work you have done, I have...

thank you ! :)

I looked at the two possibilities (google colab and kaggle), they are very very interesting.To test your code, using the GPUs provided, the execution is very fast. On the other...

Hello,I was able to solve this problem. The Coco image database is already online. ________________________________ De : Red Moub ***@***.***> Envoyé : mercredi 9 juin 2021 08:43 À : duanzhiihao/RAPiD...

On the other hand, we run the program on kaggle and activate the GPU, it worked at the beginning, then it spits with this error: ``` effective batch size =...

effectively it worked, but after 2 hours of training, it spat! here is the error message: ``` Total time: 1:52:05.342283, iter: 0:00:13.397096, epoch: 3:26:20.508855 [Iteration 500] [learning rate 0.001] [Total...