후회하지말고 최선을 다해서

# error 0 CMake Warning at /opt/ros/kinetic/share/catkin/cmake/ catkinConfig.cmake:76 (find_package): Could not find a package configuration file provided by "pcl_conversions" with any of the following names: pcl_conversionsConfig.cmake pcl_conversions-config.cmake Add the installation prefix of "pcl_conversions" to CMAKE_PREFIX_PATH or set "pcl_conversions_DIR" to a directory containing one of ..

/sbin/ldconfig.real: /usr/local/cuda/lib64/libcudnn.so.7 is not a symbolic link This may happen when you run sudo ldconfig after copying cuDNN files. After installing cuDNN, copying the extracted files to /usr/lib/cuda/lib64 and creating the symlinks, things may go wrong with the symlinks. So go to /usr/local/cuda/lib64/ and run ls -lha libcudnn* You should see two symlinks (bold teal) and one s..

Dataset 교통 표지판(Traffic Sign)을 예측하기 위해서는 해당 데이터셋이 필요하다. 다행히 독일 신경정보학 연구원들은 43개의 교통 표지판과 관련된 모두 다른 4만여 개의 이미지를 포함한 데이터셋을 만들었다. 이는 2011년에 만들어진 GTSRB(German Traffic Sign Recognition Benchmark)라고 불리는 데이터셋이다. https://sid.erda.dk/public/archives/daaeac0d7ce1152aea9b61d9f1e19370/published-archive.html Public Archive: daaeac0d7ce1152aea9b61d9f1e19370 Support ERDA User Guide Questions about ERDA? Please c..

Mask RCNN gitbub: https://github.com/jeonds1127/Mask_RCNN > Instance Segmentation Classification: There is a balloon in this image. Semantic Segmentation: These are all the balloon pixels. Object Detection: There are 7 balloons in this image at these locations. We’re starting to account for objects that overlap. Instance Segmentation: There are 7 balloons at these locations, and these are the pi..

Add Swap Memory $ sudo apt-get install zram-config $ sudo gedit /usr/bin/init-zram-swapping Replace the line: mem=$(((totalmem / 2 / ${NRDEVICES}) * 1024)) with this line: mem=$(((totalmem / ${NRDEVICES}) * 1024)) And then reboot. Install Opencv 4.1 1. Updating the packages: $ sudo apt update $ sudo apt install -y build-essential cmake git libgtk2.0-dev pkg-config libswscale-dev libtbb2 libtbb-d..

1. Let’s get started by installing the required system packages: $ sudo apt-get install git cmake $ sudo apt-get install libatlas-base-dev gfortran $ sudo apt-get install libhdf5-serial-dev hdf5-tools $ sudo apt-get install python3-dev 2. Let’s first install pip, Python’s package manager: $ wget https://bootstrap.pypa.io/get-pip.py $ sudo python3 get-pip.py $ rm get-pip.py 3. virtualenvwrapper s..

ESC Calibration BLDC(BrushLess DC) 모터를 제어하기 위해서는 ESC(Electronic Speed Controller)를 사용하는데, ESC에 PWM 신호를 입력하여 모터의 회전 속도를 조절하게 된다. 이에 앞서, ESC Calibration이라는 작업을 필수로 해주어야 하는데, 간단히 말하면 조종기의 최대(MAX) 및 최소(MIN) PWM 신호값을 ESC에 mapping 시켜주는 과정이다. 최종적으로는 STM32F103으로 SimonK 30A ESC라는 제품을 Calibration 및 test하는게 목적이지만, ESC Calibration을 처음 진행해보기에 저는 먼저 코드자료가 많은 Arduino를 이용해 구동을 시켜보고 그 해당 소스를 STM32F103 환경에 맞게 바꾸는..

Darknet link : https://github.com/AlexeyAB/darknet

1. Mesh-Flow-Video-Stabilization https://github.com/sudheerachary/Mesh-Flow-Video-Stabilization http://www.liushuaicheng.org/eccv2016/meshflow.pdf The MeshFlow is a spatial smooth sparse motion field with motion vectors only at the mesh vertexes. The MeshFlow is produced by assigning each vertex an unique motion vector via two median filters. The path smoothing is conducted on the vertex profile..

우선 tensorflow를 설치하기 전에 자신의 환경을 먼저 체크해야합니다. CUDA 10.1 CuDNN 7.6.4 python 3.7(예정) 저는 tensorflow-gpu를 설치할 것이기 때문에 지금 저희 환경에 맞는것은 1.13 >= 버전입니다. 그렇기 때문에 이번 포스트에서는 최신 버전인 1.14 버전을 설치해보겠습니다. Linux GPU Linux > anaconda(python3.7 / Anaconda 2019.10 for Linux Installer) https://www.anaconda.com/distribution/#download-section Anaconda Python/R Distribution - Free Download Anaconda Distribution is the worl..