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import os
import shutil
from concurrent.futures import ThreadPoolExecutor

def remove_file(file_path):
    try:
        os.remove(file_path)
        print(f"File '{file_path}' removed successfully.")
    except Exception as e:
        print(f"Failed to remove file '{file_path}': {e}")

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Creating WiFi Access point from command line (Ubuntu):

https://ubuntu.com/core/docs/networkmanager/configure-wifi-access-points

nmcli d wifi hotspot ifname <interface> ssid <ssid> password <password>

Example:

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#!/bin/bash

host=$(cat /etc/hostname)
echo "PC Name: ${host}"

cpu=$(cat /proc/cpuinfo | grep "model name" | head -1 | sed "s/model name	: //")
echo "CPU: ${cpu}"

motherboard=$(sudo dmidecode -t 2 | grep "Product Name" | sed "s/	Product Name: //")
echo "Motherboard: ${motherboard}"

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#!/usr/bin/env bash

set -x

LT4_MAJOR=32
LT4_MINOR_OLD=6
LT4_MINOR=7

if [ "$EUID" -ne 0 ]
  then echo "Please run as root"

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targets=(
192.168.1.83 # sl-u18-hlc1
192.168.2.253 # sl-nano-run5-46
192.168.3.220 # sl-tx2nx-run1-jp46
192.168.2.246 # sl-nx-run1-jp46
192.168.3.73 # sl-run-multicam
)
# all targets have the same user and password, this can be skipped if the ssh key is already registered
user="<user>"
pass="<password>" # security issue

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#docker run --gpus=all -it -v /:/host/ nvcr.io/nvidia/pytorch:22.02-py3
host_folder="/host/tmp/yolov7_results.txt"
rm ${host_folder}

git clone https://github.com/WongKinYiu/yolov7
cd yolov7
pip install -qr requirements.txt
pip uninstall opencv-python
pip install opencv-python-headless==4.4.0.40

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for (int y = 0; y < height; y++) {
    // line pointer
    float * ptr_disp = (float *) (disp.getPtr<uchar>(sl::MEM::CPU) + y * disp.getStepBytes(sl::MEM::CPU));
    uchar4* ptr_image = (uchar4*) (img.getPtr<uchar>(sl::MEM::CPU) + y * img.getStepBytes(sl::MEM::CPU));

    for (int x = 0; x < width; x++) {
        float px_disp = ptr_disp[x];
        uchar4 px = ptr_image[x];
    }
}

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Notes about using Unity-Technologies/PeopleSansPeople in COCO format for kp detection

DATA Generation

Setup

The data cannot be download like a reference dataset, it needs to be generated. On Linux here's a gist of the command used (more details https://github.com/Unity-Technologies/PeopleSansPeople/tree/main/peoplesanspeople_binaries#running-the-linux-binary):

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# wget https://motchallenge.net/data/MOT17Det.zip
# unzip MOT17Det.zip
# rm -rf MOT17Det/test/

import configparser
import os 
import shutil
import numpy as np

def get_metadata_from_seqinfo(seqinfo_path):

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# from https://community.tp-link.com/en/home/forum/topic/208022
# tested on Ubuntu 20.04 with a TP-Link AC1300

git clone https://github.com/cilynx/rtl88x2bu.git
cd rtl88x2bu
VER=$(sed -n 's/\PACKAGE_VERSION="\(.*\)"/\1/p' dkms.conf)
sudo rsync -rvhP ./ /usr/src/rtl88x2bu-${VER}
sudo dkms add -m rtl88x2bu -v ${VER}
sudo dkms build -m rtl88x2bu -v ${VER}
sudo dkms install -m rtl88x2bu -v ${VER}