metal3d

from IPython.display import HTML, display
import cv2 as cv
import os
import matplotlib.pyplot as plt

def make_prediction(model, movie, nframe, classes, shape=(224, 224), nchan=3):
    video = cv.VideoCapture(movie)
    frames = []
    while True:
        grabbed, frame = video.read()

metal3d

apiVersion: "nuclio.io/v1beta1"
kind: "Function"
spec:
  runtime: "python:3.6"
  handler: main:handler
  minReplicas: 1
  maxReplicas: 1
  build:
    baseImage: python:3.6-jessie

metal3d

#!/bin/env python3
# -*- encoding: utf8 -*-
"""
Download latest build for Blender 2.7x and 2.8x

How to use:
- get that source code and name it "dlblender"
- change vars INSTALL_PATH and LINK_PATH is you want
   - INSTALL_PATH is where will reside new and old version of blender.
     I'm using hidden path "~/.blender"

metal3d

from sagemaker.predictor import RealTimePredictor
from sagemaker.predictor import json_serializer

# get the name in SageMaker interface and put it there
endpoint = 'name of your endpoint'

# you can use other serializer, or none if you are able
# to get data in binary format
predictor = RealTimePredictor(endpoint, serializer=json_serializer)

metal3d

import sagemaker as sage
import boto3
from sagemaker import get_execution_role

role = get_execution_role()
sess = sage.Session()

account = sess.boto_session.client('sts').get_caller_identity()['Account']
region = sess.boto_session.region_name # or setup the region by hand

metal3d

metal3d

// Proposes to draw gonum plot on Jupyter using
// the fantastic lgo kernel
package jplot

// You may save that file in $GOPATH/src/jplot/jplot.go

import (
	"bytes"

	"github.com/yunabe/lgo/core"

metal3d

metal3d

curl -sSL $(curl -s https://api.github.com/repos/metal3d/goswitch/releases/latest | \
    grep tarball | cut -d '"' -f 4) | \
    tar -zxf - --strip-components=1 -C ~/.local/bin */goswitch

metal3d

Patrice FERLET aka Metal3d <metal3d@gmail.com> <patrice.ferlet@smile.fr>