Peter Whidden PWhiddy

## kbmod.svg

      
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                PWhiddy
                / kbmod.svg
            
            
              Last active
              October 2, 2017 09:01
            
          
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## untar
#!/bin/sh
# Add this to /bin/ folder and never look up how to extract a tar again
# Usage: untar some-software-1.0-linux-x86_64.tar.gz
tar -zxvf $1

## stamps.cpp
// original function, generates single trajectory
RawImage KBMOSearch::stackedStamps(trajectory t, int radius, std::vector<RawImage*> imgs)
{
	if (radius<0) throw std::runtime_error("stamp radius must be at least 0");
	int dim = radius*2+1;
	RawImage stamp(dim, dim);
	std::vector<float> times = stack.getTimes();
	for (int i=0; i<imgs.size(); ++i)
	{
		for (int x=0; x<dim; ++x)

## install_linux_tools.sh
apt update && apt install \
tmux \
htop \
git \
ffmpeg \
zip \
python3-pip

## Test_bbox_to_mask.ipynb

      
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                PWhiddy
                / Test_bbox_to_mask.ipynb
            
            
              Created
              October 5, 2021 02:01
            
              
                Improved implementation of bbox_to_mask
              
          
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## webcam_face_follow.py
import cv2
import hnswlib
import numpy as np

def set_resolution(cap, width, height):
    cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)

def extract_face_pose(frame, face_detector):
    faces = face_detector.detectMultiScale(frame, scaleFactor=1.1, minNeighbors=5)

## webgpu-naive-conv-test.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>WebGPU Image Convolution</title>
</head>
<body>
    <h1>WebGPU Image Convolution</h1>
    <button id="run">Run Convolution</button>
	#!/bin/sh
	# Add this to /bin/ folder and never look up how to extract a tar again
	# Usage: untar some-software-1.0-linux-x86_64.tar.gz
	tar -zxvf $1
	// original function, generates single trajectory
	RawImage KBMOSearch::stackedStamps(trajectory t, int radius, std::vector<RawImage*> imgs)
	{
	if (radius<0) throw std::runtime_error("stamp radius must be at least 0");
	int dim = radius*2+1;
	RawImage stamp(dim, dim);
	std::vector<float> times = stack.getTimes();
	for (int i=0; i<imgs.size(); ++i)
	{
	for (int x=0; x<dim; ++x)
	apt update && apt install \
	tmux \
	htop \
	git \
	ffmpeg \
	zip \
	python3-pip
	import cv2
	import hnswlib
	import numpy as np

	def set_resolution(cap, width, height):
	cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
	cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)

	def extract_face_pose(frame, face_detector):
	faces = face_detector.detectMultiScale(frame, scaleFactor=1.1, minNeighbors=5)
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>WebGPU Image Convolution</title>
	</head>
	<body>
	<h1>WebGPU Image Convolution</h1>
	<button id="run">Run Convolution</button>