OpenCV
OpenCV (Open Source Computer Vision Library) is written in C/C++, for real time computer vision. It takes advantage of multi-core processing and hardware acceleration. Applications of OpenCV includes egomotion estimation, gesture recognition, facial recognition system, and artificial neural networks.
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I am having difficulty in running this package as a Webservice. Would appreciate if we could provide any kind of documentation on implementing an API to get the keypoints from an image. Our aim is to able to deploy this API as an Azure Function and also know if it is feasible.
Please use pytorch as shown in docs, otherwise users can get AssertionError: Torch not compiled with CUDA enabled.
E.g. in [app-seperation-semseg/Background-Grayscale.py](https://github.com/spmallick/learnopencv/blob/f99bdd938732a5e425dc5f799d56c6deb08913a3/app-seperation-semseg/Background-Graysc
we should check if the passed path is an url and not try to open a file in that case
Install OpenCV, PyQt4, Anaconda.
That means I have to install these three separately?
conda install -c https://conda.anaconda.org/menpo opencv3
Install opencv with anaconda again?
hardware.camera is deprecated.
The examples should be updated to use camera2.
If I find some time I will take a look at it.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
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Jan 13, 2020 - C++
Stitching API
Opencv provide a Stitching module/API
Bascially, i would like to be able to rewrite stitching_detailed.cpp in javascript
This includes :
- Stitcher class
- Features extractors (already implemented in opencv4nodejs)
- Estimator
Description
I would like to use OpenVINO as part of my AWS Lambda function in order to load and execute inference with models (packaged in .xml and .bin files) trained by OpenVINO framework.
Problem is, OpenVINO R1 that I am using takes ~900MB. My question is, what parts of OpenVINO do I need in order to load mode
Hey, figured y'all should add pip2 install numpy to the instructions or just flat out create a requirements.txt file and do pip2 install -r requirements.txt
Go implementation of Pico face detection library.
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Jan 13, 2020 - Go
The MatchTemplate() function results is given different max matching score in Windows 10.
OpenCV => 3.4.1
Operating System / Platform => Windows 10 (64 Bit)
Compiler => Visual Studio 2017
Using the same original and template images in Windows 10 the max matching score is different from Windows 7. Is there library that needs to be updated in Windows 10?
Thank you for your help,
-Ernes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
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Jan 13, 2020
一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
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Jan 13, 2020 - Python
Greetings
Create a jupyter notebook
https://jupyter.org/
that will run a demonstration of OpenSfm with all dependencies/ requirements identified
thank you for considering my request
Dennis
I ran into a QT Gui build error in texteditor.cpp using Qt5 version 5.5.1. Any ideas???
System:
Ubuntu 16
OpenCV 3.3
QT 5.5.1
[ 97%] Building CXX object CMakeFiles/bgslibrary_gui.dir/texteditor.cpp.o
/home/nvidia/cviz/bgslibrary/gui_qt/texteditor.cpp: In constructor 'TextEditor::TextEditor()':
/home/nvidia/cviz/bgslibrary/gui_qt/texteditor.cpp:36:3: error: 'setFallbackSessionManagementE
Right now, only the facebook is showing the GIF on sharing.
We need help improving that on other social networks, please contribute!
:blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code
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Jan 13, 2020 - C++
Real-Time Object Recognition App with Tensorflow and OpenCV
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Jan 4, 2020 - Python
Some of the guides inside the wiki pages are missing images. This images are used to explain some of the procedures required to run the application correctly, and therefore are relevant for this pages. Here are the pages with missing content.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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Jan 13, 2020 - Python
https://github.com/opencv/opencv/blob/1acadd363b0d0ffcdabac8af3196cb65bef426b1/modules/photo/src/seamless_cloning.cpp#L54
reason: all images with 4 channels (alpha channels) are required to be converted to 3 channels on the client side, then back to 3 channels just for API compatibility purposes.