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# 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]

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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:

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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)

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import CoreML
import XCTest
@testable import mlsample

class mlsampleTests: XCTestCase {
    
    override func setUp() {
        super.setUp()
    }
    

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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.

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# 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

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cmake_minimum_required(VERSION 3.0 FATAL_ERROR)
project(cpp_shim)
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}")

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Danbooru Faces v0.1

Discription

This dataset contains ~443k anime face images of size 256x256 drawn by ~7,000 artists, obtained from Danbooru

Collection

We first downloaded JSON files of all existing posts numbered from 1 to 2,800,000 using their API. We filtered the posts by the following criteria:

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from torch.utils.data import DataLoader


class InfiniteDataLoader(DataLoader):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        # Initialize an iterator over the dataset.
        self.dataset_iterator = super().__iter__()

    def __iter__(self):