Skip to content

Instantly share code, notes, and snippets.

View ycbcr-to-rgb.metal
fragment float4 capturedImageFragmentShader(ImageColorInOut in [[stage_in]],
texture2d<float, access::sample> capturedImageTextureY [[ texture(kTextureIndexY) ]],
texture2d<float, access::sample> capturedImageTextureCbCr [[ texture(kTextureIndexCbCr) ]]) {
constexpr sampler colorSampler(mip_filter::linear,
const float4x4 ycbcrToRGBTransform = float4x4(
float4(+1.0000f, +1.0000f, +1.0000f, +0.0000f),
View segments_fit.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
skeeet /
Created April 12, 2012 13:35 — forked from MaximKeegan/
Create a RAM disk for using with XCode
# Create a RAM disk with same perms as mountpoint
# Script based on with some additions
# Usage: sudo ./ start
skeeet /
Created November 21, 2022 23:01 — forked from Narsil/
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:
A weighted version of categorical_crossentropy for keras (1.1.0). This lets you apply a weight to unbalanced classes.
@author: wassname
from keras import backend as K
class weighted_categorical_crossentropy(object):
A weighted version of keras.objectives.categorical_crossentropy
skeeet /
Created November 27, 2020 20:16 — forked from alper111/
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 / mlSpeedTests.swift
Created May 19, 2020 09:40 — forked from akirasosa/mlSpeedTests.swift
Benchmark Core ML model in iOS.
View mlSpeedTests.swift
import CoreML
import XCTest
@testable import mlsample
class mlsampleTests: XCTestCase {
override func setUp() {
skeeet /
Created April 27, 2020 01:05 — forked from smoser/
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: boot-kernel [options] [kernel]

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

skeeet / .tmux.conf
Created November 3, 2019 05:07 — forked from paulodeleo/.tmux.conf
Tmux configuration to enable mouse scroll and mouse panel select, taken from:
View .tmux.conf
# Make mouse useful in copy mode
setw -g mode-mouse on
# Allow mouse to select which pane to use
set -g mouse-select-pane on
# Allow mouse dragging to resize panes
set -g mouse-resize-pane on
# Allow mouse to select windows
skeeet / CMakeLists.txt
Created April 1, 2019 22:27 — forked from zeryx/CMakeLists.txt
minimal pytorch 1.0 pytorch -> C++ full example demo image at:
View CMakeLists.txt
cmake_minimum_required(VERSION 3.0 FATAL_ERROR)
set(CMAKE_PREFIX_PATH ../libtorch)
find_package(Torch REQUIRED)
find_package(OpenCV REQUIRED)
add_executable(testing main.cpp)
message(STATUS "OpenCV library status:")
message(STATUS " config: ${OpenCV_DIR}")