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@skeeet
skeeet / README.md
Created April 27, 2020 01:05 — forked from smoser/README.md
Boot a specific installed Ubuntu kernel using grub-reboot and grub-set-default

Ubuntu Grub Boot Kernel

Boot a specific installed Ubuntu kernel using grub-reboot and grub-set-default.

This allows you to pick what kernel you want to boot on next reboot, or set the default, without having to know much about how grub works or editing config files.

Usage

  Usage: boot-kernel [options] [kernel]

call grub-reboot or grub-set-default to boot the provided kernel.

@skeeet
skeeet / mlSpeedTests.swift
Created May 19, 2020 09:40 — forked from akirasosa/mlSpeedTests.swift
Benchmark Core ML model in iOS.
import CoreML
import XCTest
@testable import mlsample
class mlsampleTests: XCTestCase {
override func setUp() {
super.setUp()
}
@skeeet
skeeet / lap_pyramid_loss.py
Created November 27, 2020 20:16 — forked from alper111/lap_pyramid_loss.py
PyTorch implementation of Laplacian pyramid loss
import torch
def gauss_kernel(size=5, device=torch.device('cpu'), channels=3):
kernel = torch.tensor([[1., 4., 6., 4., 1],
[4., 16., 24., 16., 4.],
[6., 24., 36., 24., 6.],
[4., 16., 24., 16., 4.],
[1., 4., 6., 4., 1.]])
kernel /= 256.
kernel = kernel.repeat(channels, 1, 1, 1)
@skeeet
skeeet / pure_torch.py
Created November 21, 2022 23:01 — forked from Narsil/pure_torch.py
Loading a safetensors file with pure torch only
import mmap
import torch
import json
import os
from huggingface_hub import hf_hub_download
def load_file(filename, device):
with open(filename, mode="r", encoding="utf8") as file_obj:
with mmap.mmap(file_obj.fileno(), length=0, access=mmap.ACCESS_READ) as m:
Loading
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@skeeet
skeeet / gaze_tracker.py
Created June 12, 2024 09:09 — forked from AndreVallestero/gaze_tracker.py
Fast, real-time gaze tracker using mediapipe and python (faster than dlib or openface)
# https://youtu.be/DNKAvDeqH_Y
# https://google.github.io/mediapipe/solutions/iris.html#ml-pipeline
# https://google.github.io/mediapipe/solutions/face_mesh.html#python-solution-api
import cv2 as cv
import numpy as np
from mediapipe import solutions
LEFT_IRIS = [pair[0] for pair in solutions.face_mesh.FACEMESH_LEFT_IRIS]
RIGHT_IRIS = [pair[0] for pair in solutions.face_mesh.FACEMESH_RIGHT_IRIS]