kiakiraki

import gradio as gr
import matplotlib.pyplot as plt
from feat import Detector
from PIL import Image


def detect_and_plot(image: Image.Image, face_model: str, landmark_model: str, au_model: str, emotion_model: str, facepose_model: str) -> plt.Figure:
    # 画像を RGB に変換 (透過 PNG 対策)
    if image.mode in ('RGBA', 'LA') or (image.mode == 'P' and 'transparency' in image.info):
        image = image.convert("RGB")

kiakiraki

$OutputPath = [System.IO.Path]::GetFileNameWithoutExtension($Args[0])+".mkv"
.\mkvmerge.exe `
    -o $OutputPath `
    --colour-matrix 0:9 `
    --colour-range 0:1 `
    --colour-transfer-characteristics 0:16 `
    --colour-primaries 0:9 `
    --max-content-light 0:1000 `
    --max-frame-light 0:300 `
    --max-luminance 0:1000 `

kiakiraki

Curriculum-Vitae

2020/11現在

基本情報

key	value
Name	鶴田 洸 (Akira TSURUDA)
LAPRAS	https://lapras.com/public/I8IXHAC

kiakiraki

import logging
from datetime import datetime
from logging import FileHandler, Formatter, StreamHandler, getLogger
from pathlib import Path


logger = getLogger(__name__)
logger.setLevel(logging.INFO)

log_format = Formatter('%(asctime)s (%(name)s) [%(levelname)s] %(message)s')

kiakiraki

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask, request
from flask_restplus import Api, Namespace, Resource, fields


# initialize flask app
app = Flask(__name__)
api = Api(
    app,