Vicente Masip masip85

NeRF

Repo: https://github.com/NVlabs/instant-ngp

Steps (see their readme also)

install CUDA toolkit https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exe_local
- you can remove all the extras, like geforce experience and docs etc *i installed 11.4
install cmake https://cmake.org/download/ (latest release, not RC), i took 3.22.5 *3.23 doesnt work?
install optional (for DLSS) https://vulkan.lunarg.com/sdk/home#windows (base sdk only)
make folder somewhere, lets say E:\apps\NeRF\

The background is that the default OpenWRT image for Raspberry Pi lacks drivers for the LAN port (RTL8111) on the DFRobot board. DFRobot provide an image, but that one is made from a quite old daily snapshot of OpenWRT which is not entirely stable. Also, it is better to know how to fish than be given a fish.

DFRobot's page about the router board:
https://wiki.dfrobot.com/Compute_Module_4_IoT_Router_Board_Mini_SKU_DFR0767

OpenWRT main page:
https://openwrt.org/

You are expected to have some general knowledge on Linux and OpenWRT. The instructions for flashing the resulting firmware image are presented on DFRobot's page.

Gstreamer Pipeline Samples

Table of Contents:

Gstreamer Pipeline Samples
- Tips for Debug
- Video
  - display test video
  - record to file
record and display at the same time(queue)

	#!/bin/bash
	set -e
	##### CHECK PARAMETERS #####
	PRODUCTION=0
	while [[ "$#" -gt 0 ]]; do
	case $1 in
	-p\|--production) PRODUCTION=1 ;;
	*) echo "Unknown parameter passed: $1"; exit 1 ;;
	esac
	shift

	import io
	import pathlib

	import pycdlib

	ubuntu = pathlib.Path('ubuntu-22.04.1-live-server-amd64.iso')
	new_iso_path = pathlib.Path('ubuntu-22.04.1-live-server-amd64-auto.iso')

	iso = pycdlib.PyCdlib()
	iso.open(ubuntu)

	#from rtsp server android app
	'rtspsrc location=rtsp://192.168.1.193:5554/camera latency=0 ! rtph264depay ! avdec_h264 ! videorate max-rate=1 ! decodebin ! videoconvert ! video/x-raw, format=BGR ! queue max-size-buffers=10 ! jpegenc quality=25 ! jpegparse ! appsink name=sink'

	#big buck bunny
	'rtspsrc location=rtsp://184.72.239.149/vod/mp4:BigBuckBunny_115k.mov latency=0 ! rtph264depay ! avdec_h264 ! videorate max-rate=15 ! decodebin ! queue max-size-buffers=10 ! jpegenc quality=25 ! jpegparse ! appsink name=sink'

	# example of mjpeg stream from a typical axis camera or esp32
	# souphttpsrc location=http://x.y.z.a:8090/mjpg/video.mjpg?timestamp=1564650227443 ! multipartdemux single-stream=true ! image/jpeg,width=320,height=240,framerate=3/1 ! appsink name=sink

	#Example of an RTSP source

	import cv2
	import numpy as np

	def get_inverse_pespective(perspective_matrix: np.array)-> np.array:
	"""
	This method calculates the inverse of prespective matrix by homography.
	- Takes 4 random points on the floor plane(destination_plane) and calculates the corresponding points
	on the camera image plane(src_plane) using perspective matrix.
	- Calculates the Homography matrix to map any point in image plane to floor plane.
	Parameters

	#!/bin/bash
	RECDIR=/mnt/record/minisio/$(date +%Y-%m-%d)
	RECTIME=$(date +-%H:%M:%S)
	if [ ! -d "$RECDIR" ]; then
	mkdir -p $RECDIR
	fi

	cd $RECDIR

	for i in {0..6}; do

	# folder where the image is already saved (without bounding boxes)
	data_dir = 'media/stable_numbers/number_crops/'

	# folder where the new image with bounding boxes should be saved
	out_dir = 'media/copy_labeled_number_crops/'

	# go through the unique file names (because files can have more than 1 bounding box)
	for file in new_df.filename.unique():

	# load in the image and .loc[] the rows where it's referenced (each row represents 1 bounding box)

	# Docker compose to set up containers for all services you need:
	# VPN
	# Sonarr, Radarr, Lidarr, Qbittorrent
	# Non-VPN
	# Plex, get_iplayer
	# Before running docker-compose, you should pre-create all of the following folders.
	# Folders for Docker State:
	# /volume1/dockerdata. - root where this docker-compose.yml should live
	# /volume1/dockerdata/plex - Plex config and DB
	# /volume1/dockerdata/sonarr - Sonarr config and DB