Maria Dimashova's profile - overview

● Great Question   × 1

• What is the most effective way to access cv::Mat elements in a loop?

● Student   × 1

• Do all opencv functions support in-place mode for their arguments?

● Good Question   × 2

• What is the most effective way to access cv::Mat elements in a loop?
• Do all opencv functions support in-place mode for their arguments?

● Critic   × 1

• object detection in open cv

● Famous Question   × 2

• Do all opencv functions support in-place mode for their arguments?
• What is the most effective way to access cv::Mat elements in a loop?

● Editor   × 1

• OpenCV DescriptorMatcher matches

● Scholar   × 1

• Do all opencv functions support in-place mode for their arguments?

● Popular Question   × 2

• Do all opencv functions support in-place mode for their arguments?
• What is the most effective way to access cv::Mat elements in a loop?

● Supporter   × 1

• Do all opencv functions support in-place mode for their arguments?

● Notable Question   × 2

• Do all opencv functions support in-place mode for their arguments?
• What is the most effective way to access cv::Mat elements in a loop?

● Nice Question   × 2

• Do all opencv functions support in-place mode for their arguments?
• What is the most effective way to access cv::Mat elements in a loop?

● Nice Answer   × 16

• Enable Multithreading with TBB during cascade training
• OpenCV DescriptorMatcher matches
• How to build a regression tree over binary variables?
• feature detector crash
• What is the usage of CV_DTREE_CAT_DIR?
• Why does DescriptorMatcher::add takes vector of Mats?
• How to use the LshIndexParams?
• FREAK vs SURF
• Using FLANN with binary descriptors (Brief,ORB)
• How is Decision Tree Split Quality Computed?
• Do inputs of descriptor extractors are required to be grayscale?
• The detect feature of SIFT/SURF always breaks code
• Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
• Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
• Haartraining vs Traincascade : Object Detection
• Convert haarcascade to LBP

● Teacher   × 1

• Enable Multithreading with TBB during cascade training

● Great Answer   × 3

• How to use the LshIndexParams?
• Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
• Enable Multithreading with TBB during cascade training

● Good Answer   × 8

• Enable Multithreading with TBB during cascade training
• What is the usage of CV_DTREE_CAT_DIR?
• How to use the LshIndexParams?
• Why does DescriptorMatcher::add takes vector of Mats?
• Using FLANN with binary descriptors (Brief,ORB)
• Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
• Haartraining vs Traincascade : Object Detection
• Haartraining vs Traincascade : Object Detection

● Guru   × 3

• How to use the LshIndexParams?
• Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
• Enable Multithreading with TBB during cascade training

● Enlightened   × 1

• Enable Multithreading with TBB during cascade training

● Taxonomist   × 1