Then, calibration parameters were calculated by using OpenCV, which is a Python library. Finally, the black boundary of the image was removed, and it was resized. Numerical simulations The changes in micro-marke
Programming language Python 3.8 CUDA version 11.0 cuDNN version 8.0 Libraries and tools NumPy 1.19.5 SciPy 1.5.4 OpenCV 4.5.1 Matplotlib 3.3.4 4.2. Datasets In this section, we provide details about the datasets used in our experiments. COCO (Common Objects in Context) Dataset. The COCO da...
install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev git clone https://github.com/opencv/opencv.git cd opencv/ git checkout 3.4.15 mkdir build cd build cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/...
It supports image processing and machine learning libraries: NumPy and Pandas, OpenCV, and TensorFlow/Keras on top of Python 3.7+, in addition to enabling tools, such as CVIP Tools and WEKA for feature extraction and data analysis. The Flask or Django frameworks create a web-based CDSS for ...
by sudo apt-get install python-opencv python-tk). Usage cd src; python main.py Compatibility The current development branch is tested on Ubuntu 14.04 (and on Ubuntu 12.04 using Travis-CI). The current master branch is additionally tested on Windows 7 but the performance on Windows is ...
Python 3.6.8, OpenCV 4.2.0, NumPy 1.18.2, SciPy 1.4.1, Scikit-learn 0.22.2, TensorFlow 1.8.0 and ROS Melodic 1.14.5, including SLAM, navigation and Turtlebot packages, were used for the implementation of our proposed algorithm and R-AAH method. We investigated the effect of selecting the...
(EAR) method to detect blinks but also applied facial landmark points for driver yawning [11]. We evaluated an OpenCV-based blink-detection system and simultaneously applied media-pipe facial landmarks for a single input eye image and yawning state measurement to alert drowsy drivers. This ...
In this study, an extreme gradient boosting (XGB) algorithm is informed by a depth camera (Intel Realsense L515) mounted on a custom rotary mechanism, leveraging computer vision (CV) frameworks like OpenCV [7]. These frameworks facilitate real-time measurement, while the machine learning model ac...
We have used Python with OpenCV and with the help of Pi-Cam we acquired the live video and recognize the faces in those live videos. The proposed framework can locate multiple faces in the frames but is able to recognize only those that are already trained and present in the dataset. ...
The second methodology adopted the detection of colors through the OpenCV library using 3 different color cards and positions. The biggest problem in this methodology was that during the day, the light varies and at some time during the day, the colors were not recognized. In [32], the ...