I can't understand the whole process as it says I have to replace the versions of tensorRT , cuda, cuDNN versions of particular download. What particular download they are talking about?
https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#installing-zip
Here is the full of 3rd step.Please clarify with explanation:
Unzip the TensorRT-7.x.x.x.Windows10.x86_64.cuda-x.x.cudnnx.x.zip file to the location that you chose. Replace:
7.x.x.x with the TensorRT version
cuda-x.x with the CUDA version, and
cudnnx.x with the cuDNN version for your particular download.
P.S:New to TensorFlow and tensorRT machine learning .
You do not need to actually "replace" anything, but the x letters.
You will do that automatically by selecting a version of TensorRT that is suitable for your system.
Example:
Before you install TensorRT you have to install a version of CUDA and cuDNN.
For Windows 10, according to here, this should be:
CUDA 10.2, 11.0 update 1, 11.1 update 1, or 11.2
cuDNN 8.0.5
Suppose you did install CUDA 10.2 and cuDNN 8.0.5 and want to install TensorRT 7.2.1.6. Then, the file you are looking for would be named: TensorRT-7.2.1.6.Windows10.x86_64.cuda-10.2.cudnn8.0.zip
This is the file you are supposed to download and extract.
Related
i've been trying to download older versions of cv2 as an easy way to get around not being able to use SIFT.
I've tried the following:
pip install opencv-contrib-python==3.4.2.17
however I get this error:
ERROR: Could not find a version that satisfies the requirement opencv-contrib-python==3.4.2.17 (from versions: 3.4.8.29, 3.4.9.31, 3.4.9.33, 4.1.2.30, 4.2.0.32, 4.2.0.34)
ERROR: No matching distribution found for opencv-contrib-python==3.4.2.17
All the advice I've seen on the site so far tells me to either download these older versions of opencv or to build it myself (which seems like an absolute nightmare)
Anyone have any suggestions on how to install these older versions of cv2?
opencv-contrib-python 3.4.2.17 provides wheels for Pythons up to 3.7. Probably you use Python 3.8.
Use Python 3.7 (or lower). Or compile from sources for 3.8.
I am trying to install the Projector-Camera Calibration software available on: http://mesh.brown.edu/calibration/ . The software demands having installed Qt 4.8.4 and OpenCV 2.4.3 on my computer. It cannot work (as far as i know according to my research and INSTALL.txt file in the installation package) with any other versions of Qt and OpenCV. My problem is that OpenCV 2.4.3 version is no longer available anywhere on the Internet to download. It is not even available on the official OpenCV website: http://opencv.org/releases.html . I've tried downloading other versions of OpenCV, but none of them seems to work with this calibration software. More specifically, when I try to execute nmake release command in my Developer Command Prompt for VS 2017, the
LINK : fatal error LNK1181: cannot open input file
'opencv_core243.lib'
message is displayed which is expected because other versions of OpenCV do not have opencv_core243.lib file. I've done everything demanded in INSTALL.txt file, the PATH variable is set properly and everything else.
Can anybody help me with this problem or send me a link for downloading the OpenCV 2.4.3 if it is available somewhere on the Internet?
I don't see why the library should be dependent on that version of OpenCV. From my experience, the camera calibration functions are very stable through different versions.
You should be able to build the library with other versions of OpenCV by editing the file projector-calib.pro from:
# Windows 7
win32:OPENCV_DIR = "C:/opencv/opencv-2.4.3/opencv/build"
win32:OPENCV_LIB_DIR = $$OPENCV_DIR/x86/vc10/lib
win32:CV_VER = 243
to:
# Windows 7
win32:OPENCV_DIR = "C:/{YOUR_PATH}/opencv/build"
win32:OPENCV_LIB_DIR = $$OPENCV_DIR/{x64/x86}/vc12/lib
win32:CV_VER = {VERSION}
and substituting {YOUR_PATH}, {X64/X86} and {VERSION} properly. For OpenCV 2.4.13, for example, {VERSION} is 2413.
I already have part of a program running in Python 3 but I need OpenCV (or SimpleCV), for a robotic vehicle, but I haven't found any install commands that seem to work, other than for Python 2.7.
If it is compatible could you please include instructions (/links to) for installation of the module?
I am using Ubuntu 14.
Maybe a little late to answer, but it's actually supported on OpenCV version 3 (in alpha state nowadays). I have successfully managed to install it, on MacOS, but I guess it would be similar on Ubuntu.
Now you have separated options for python2 and python3 when using Cmake. So you'll have to set those to make it work. That's all I needed to set:
BUILD_opencv_python3
PYTHON3_LIBRARY
PYTHON3_INCLUDE_DIR
PYTHON3_INCLUDE_DIR2
PYTHON3_NUMPY_INCLUDE_DIRS
...
Here you can find more detailed description: Link
Luigolas is correct that OpenCV 3.0 supports Python 3.x bindings. It was in release candidate status since April and the production version was released on 4 June 2015. Unfortunately for some reason the downloadable installation program on the OpenCV site does not contain a Python 3.x-compatible cv2.pyd file.
OP asked about Ubuntu but for those requiring a Windows installer, use Christoph Gohlke's site, which maintains Windows binaries for many Python packages, including OpenCV 3.0 with Python 3.x bindings. Visit:
http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv
To install, just download the 64-bit or 32-bit .whl file appropriate for your system, then run pip install [filename]. Then the instruction import cv2 should work in your Python 3.x interpreter.
I am trying to install opencv 2.2 with cuda enabled. I have installed CUDA and also have compiled and tested some programs with it.
Now I want to install opencv with gpu. I downloaded cmake-gui and set CUDA on. When I hit the configure button it does find cuda toolkit but gives me this error:
CMake Error at modules/gpu/FindNPP.cmake:102 (message):
NPP headers/libraries are not found. Please specify
CUDA_NPP_LIBRARY_ROOT_DIR in CMake or set $NPP_ROOT_DIR.
Call Stack (most recent call first):
modules/gpu/CMakeLists.txt:38 (find_package)
I have installed everything in the default directory.
My cuda-toolkit version is 4.0. Also I have opencv 2.2 without gpu installed.
And in case it might help:
My OS is ubuntu 11.04, my gpu is geforce gtx550, and my cuda driver version is 280.13
Z3's dependency on libgmp.so.3 is unresolved in the linux package, leaving the user to provide this library. However, this library is very old and is not readily available.
Does anyone know a method for getting around this issue? I am currently running x86_64 and cannot get around this missing dependency without a great deal of hassle.
Is it possible the linux packages could be fixed such they include the expected library in the distribution?
You can get GMP3 by executing sudo apt install libgmp3-dev.
I'm not a Linux expert, but this is the command I used to install GMP before I compiled Z3.
When I installed the virtual machine for running Linux 64, I think I didn't find a package for the more recent versions of GMP.
I will try again. If it doesn't work, I will download the most recent GMP tar ball and build it from scratch.
BTW, the Z3 for Linux 32 comes with two .so files. One of them has GMP statically linked.
The trick I used for building this .so file didn't work for the 64 bit version.
As I said, I'm not a Linux expert, any suggestions on how to build a better Z3 library for Linux x86_64 users are welcome.