A Step-By-Step Guide from Unboxing to Creative Coding
Muhammad-Yunus
/ build info OpenCV 3.4.5 - Jetson TK1.txt
Created
August 12, 2021 02:28
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| General configuration for OpenCV 3.4.5 ===================================== | |
| Version control: unknown | |
| Extra modules: | |
| Location (extra): /home/ubuntu/build_opencv/opencv_contrib/modules | |
| Version control (extra): unknown | |
| Platform: | |
| Timestamp: 2021-08-09T07:25:14Z | |
| Host: Linux 3.10.40-ge16a41a05c9e armv7l |
Muhammad-Yunus
/ Plot different SVM classifiers in the iris dataset.py
Last active
August 8, 2021 23:41
Original Source : https://scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html#sphx-glr-auto-examples-svm-plot-iris-svc-py
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| print(__doc__) | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from sklearn import svm, datasets | |
| import matplotlib | |
| matplotlib.use('TkAgg') | |
| def make_meshgrid(x, y, h=.02): |
Muhammad-Yunus
/ jetson-nano_openFrameworks_setup_tutorial.md
Created
August 7, 2021 02:03
— forked from madelinegannon/jetson-nano_openFrameworks_setup_tutorial.md
How to Set Up the NVIDIA Jetson Nano for openFrameworks
Muhammad-Yunus
/ LIST OF MAT TYPE IN OPENCV.md
Created
August 6, 2021 11:16
— forked from yangcha/LIST OF MAT TYPE IN OPENCV.md
LIST OF MAT TYPE IN OPENCV
| C1 | C2 | C3 | C4 | |
|---|---|---|---|---|
| CV_8U | 0 | 8 | 16 | 24 |
| CV_8S | 1 | 9 | 17 | 25 |
Muhammad-Yunus
/ check_cuda_cudnn.md
Created
July 25, 2021 03:24
— forked from Jongbhin/check_cuda_cudnn.md
[Cuda cudnn version check] #cuda #cudnn #nvidia
Muhammad-Yunus
/ build_opencv.sh
Created
July 9, 2021 08:46
— forked from gustavsl/build_opencv.sh
Build and install OpenCV 3.4.2 on the Apalis TK1/Jetson TK1
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| #!/bin/bash | |
| echo "This script will build and install OpenCV 3.4.2 with CUDA support on the TK1" | |
| echo "Installing dependencies..." | |
| sudo apt-get update | |
| sudo apt-get install -y \ | |
| cmake \ | |
| libglew-dev \ | |
| libtiff5-dev \ |
Muhammad-Yunus
/ OpenCV-CUDA-Docker-Jetson-Nano-Buildinfo.txt
Created
February 7, 2021 11:59
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| General configuration for OpenCV 4.4.0 ===================================== | |
| Version control: 4.4.0 | |
| Extra modules: | |
| Location (extra): /tmp/build_opencv/opencv_contrib/modules | |
| Version control (extra): 4.4.0 | |
| Platform: | |
| Timestamp: 2021-02-07T03:04:24Z | |
| Host: Linux 4.9.201-tegra aarch64 |
Muhammad-Yunus
/ javariety-jetson-nano-log.txt
Created
February 6, 2021 05:09
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| --2021-02-06 12:04:43-- https://github.com/ArduCAM/MIPI_Camera/releases/download/v0.0.1/arducam-nvidia-l4t-kernel_4.9.201-tegra-32.5.0-20210126142035_arm64.deb | |
| Resolving github.com (github.com)... 13.229.188.59 | |
| Connecting to github.com (github.com)|13.229.188.59|:443... connected. | |
| HTTP request sent, awaiting response... 302 Found | |
| Location: https://releases.521000.best/186627215/ab3d5000-607e-11eb-85bd-d4a8935928c0?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20210206%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20210206T050443Z&X-Amz-Expires=300&X-Amz-Signature=bae22bee9f70ee08a77a9439a161e8c3376d37e860519aa589846705017c49d4&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=186627215&response-content-disposition=attachment%3B%20filename%3Darducam-nvidia-l4t-kernel_4.9.201-tegra-32.5.0-20210126142035_arm64.deb&response-content-type=application%2Foctet-stream [following] | |
| --2021-02-06 12:04:43-- https://releases.521000.best/186627215/ab3d5000-607e- |
Muhammad-Yunus
/ log-run-deviceQuery-JetsonNano.txt
Last active
February 5, 2021 23:37
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| ./deviceQuery Starting... | |
| CUDA Device Query (Runtime API) version (CUDART static linking) | |
| Detected 1 CUDA Capable device(s) | |
| Device 0: "NVIDIA Tegra X1" | |
| CUDA Driver Version / Runtime Version 10.2 / 10.2 | |
| CUDA Capability Major/Minor version number: 5.3 | |
| Total amount of global memory: 3964 MBytes (4156694528 bytes) |
Muhammad-Yunus
/ docker-hello-world-out.txt
Created
February 3, 2021 16:51
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| Unable to find image 'hello-world:latest' locally | |
| latest: Pulling from library/hello-world | |
| 256ab8fe8778: Pull complete | |
| Digest: sha256:31b9c7d48790f0d8c50ab433d9c3b7e17666d6993084c002c2ff1ca09b96391d | |
| Status: Downloaded newer image for hello-world:latest | |
| Hello from Docker! | |
| This message shows that your installation appears to be working correctly. | |
| To generate this message, Docker took the following steps: |