Florian Golemo fgolemo

Seeed Wio Terminal Circuitpython Modules

note: All of these examples have been tested with the latest version of CircuitPython, which as of this writing was 7.2.4. Some of these examples may require tweaks in older or later versions, due to change in the drivers.

The Seeed Wio Terminal is a nifty connected device development kit. Built around a SAMD51 Cortex-M4 microcontroller and a Realtek RTL8720DN for WiFi and Bluetooth, plus an integrated display and a collection of handy sensors, the Wio Terminal is a great platform for IoT and smart device development.

One of the nice things about the Wio Terminal is the number of options available for developement platforms. You can choose the long-time hardware hacking favorite Arudino, MicroPython or Ardupy, an interesting blend of MicroPython and Arduino. And there's support for my

Steps to create Textured Mesh from Point Cloud using Meshlab

Get your PointCloud into MeshLab

Import the pointcloud file in ".ply" file format in Meshlab. Before importing make sure you do some pre-processing / cleaning on point cloud so as to ease the process of meshing.

Point Cloud Simplification and Normals Computation

Next we need to reduce the number of point samples for smooth meshing.
- So go to Filters -> Point Set -> Point Cloud Simplification. Enter Number of samples circa 5% of original number of points. Make sure Best Sample Heuristic is checked.
After point cloud simplification, make sure to select Simplified point cloud in the Show Layer Dialog on the right hand side. If not visible, it can be opened by navigating to View -> Show Layer Dialog. Now we need to compute normals for point set.
So go to Filters -> Point Set -> Compute normals for point sets . Enter Neighbour num between 10 - 100. Initially try with 10 and

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  allowCopyAndPaste = function(e){
  e.stopImmediatePropagation();
  return true;
  };
  document.addEventListener('copy', allowCopyAndPaste, true);
  document.addEventListener('paste', allowCopyAndPaste, true);
  document.addEventListener('onpaste', allowCopyAndPaste, true);
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This code snippet shows how we can change a layer in a pretrained model. In the following code, we change all the ReLU activation functions with SELU in a resnet18 model.

import torch
from torchvision import model

resnet18 = model.resnet18(pretrained=True)

def funct(list_mods):

https://github.com/aancel/admin/wiki/VirtualGL-on-Ubuntu

https://virtualgl.org/About/Introduction

https://www.turbovnc.org

VirtualGL

When you use ssh with X forwarding, you might have noticed that you cannot execute programs that require 3D acceleration. That's where VirtualGL comes into play.

	# circuitpython_disable_usb_boot.py
	# Turn on/off certain USB features based on touching RX & TX pins
	# Squeeze TX & RX pins with fingers to enable CIRCUITPY & REPL
	# Otherwise, they are turned off
	# CircuitPython 7.x only
	# Rename this as "boot.py" in your CIRCUITPY drive on a QT PY
	# @todbot 17 May 2021

	import time
	import board

	def get_jacobian(net, x, noutputs):
	x = x.squeeze()
	n = x.size()[0]
	x = x.repeat(noutputs, 1)
	x.requires_grad_(True)
	y = net(x)
	y.backward(torch.eye(noutputs))
	return x.grad.data

	import pybullet as p
	import time

	usePhysX = True

	if usePhysX:
	p.connect(p.PhysX)
	p.loadPlugin("eglRendererPlugin")
	else:
	p.connect(p.GUI)

	#!/usr/bin/env python
	# -- coding:UTF-8 --

	import torch
	import torch.nn as nn
	import torch.nn.init as init


	def weight_init(m):
	'''