RomanSteinberg

import cv2
import sys
import numpy as np
import mxnet as mx

from PyQt5.QtWidgets import QApplication

QApplication(sys.argv)  # comment it

RomanSteinberg

import redis
import json

data = {
    'foo': 'bar',
    'd': {'a': 1}
}

r = redis.StrictRedis()
r.execute_command('JSON.SET', 'doc', '.', json.dumps(data))

RomanSteinberg

from __future__ import absolute_import, division, print_function, unicode_literals
from tensorflow.keras import layers

try:
  # %tensorflow_version only exists in Colab.
  %tensorflow_version 2.x
except Exception:
  pass
import tensorflow as tf

RomanSteinberg

FROM tensorflow/tensorflow:1.15.0-gpu-py3

RUN addgroup --gid 1001 user && \
    adduser --disabled-password --gecos '' -u 1000 --gid 1001 --home /home/user recogniser

WORKDIR /home/user

RUN apt-get update && \
    apt-get -y install --no-install-recommends --no-upgrade build-essential cmake \
    libopenblas-dev liblapack-dev libx11-dev libgtk-3-dev cuda-toolkit-10-0

RomanSteinberg

import json
from pathlib import Path
import pandas as pd
# from matplotlib.pyplot import plt
from matplotlib import pyplot as plt

%matplotlib inline

with Path('/home/roman/dev/vinteo/backend/measurement.json').open() as f:
    m = json.load(f)

RomanSteinberg

CREATE OR REPLACE FUNCTION match_documents(
    query_embedding VECTOR(1536),
    match_count INT,
    metadata_filter JSONB DEFAULT NULL,
    similarity_threshold FLOAT DEFAULT 2.0,
    target_table TEXT DEFAULT 'message_documents'
)
RETURNS TABLE(id BIGINT, content TEXT, metadata JSONB, similarity FLOAT)
LANGUAGE plpgsql
AS $$