jsxyhelu comments

Results 30 comments of


                                            jsxyhelu

Fix URLs for downloading models

http://cs.stanford.edu/people/jcjohns/fast-neural-style/models/…… is invalid https://cs.stanford.edu/people/jcjohns/fast-neural-style/models/……is right

使用的芯片是啥

xc7v415t 这个从哪里能够购买到？淘宝上能买到吗？好像搜不到呀。问了小白问题了，不好意思，对这个方向很关注。

Add layer model blend test pictures

from https://github.com/opencv/opencv/pull/17520 Because my test here needs to call related image resources, according to the current practice, they are placed in opencv_extra (https://github.com/opencv/opencv_extra/pull/766）. In this case, you must first pass...

Add layer model blend test pictures

What should I do? First of all, upload the image to extra, and then opencv test can pass, but the extra here can't pass.

Add layer model blend test pictures

@alalek thanks,I will pay attention to keeping the names of both sides consistent next time

3.5-classifying-movie-reviews.ipynb: Undefined variable `acc`

acc = history.history['binary_accuracy'] you may try

I spent some time studying OpenCFU seriously, but now I still can't isolate its core algorithm.

Hi@qgeissmann,Thanks for replying, I will do my best. And now ,I am most interesting in the step3 and step4,you say "Both steps use a ML predictor (Predictor) that takes as...

I spent some time studying OpenCFU seriously, but now I still can't isolate its core algorithm.

Very effective! I will continue to study.

I spent some time studying OpenCFU seriously, but now I still can't isolate its core algorithm.

Hello, for the random forest method you mentioned before, I have conducted further research, basic parameter settings ``` m_trees = cv::ml::RTrees::create(); m_trees->setMaxDepth(10); m_trees->setMinSampleCount(10); m_trees->setRegressionAccuracy(0); m_trees->setUseSurrogates(false); m_trees->setMaxCategories(2); m_trees->setCalculateVarImportance(true); m_trees->setActiveVarCount(false); m_trees->setTermCriteria({ cv::TermCriteria::MAX_ITER...