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

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

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

import redis
import json

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

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

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 tensorrt as trt
import os
import torch
import onnx

TRT_LOGGER = trt.Logger(trt.Logger.WARNING)


def convert_to_trt(image_width, image_height):
    onnx_file_path = 'model.onnx'

RomanSteinberg

class Cat:
    def __init__(self):
        self.start_position = np.array([1, 1])
        self.velocity = 7
        self.reached = False
        self.room = np.array([100, 100])  # выход за границы комнаты не критичен

    def move_generator(self):
        pos = self.start_position
        while True:

RomanSteinberg

import yaml


def get_option():
    # get option from config or env or something
    return yaml.load(open('config.yaml'))['production']


def measure(method):
    # measures metrics for method

RomanSteinberg

from multiprocessing import Process, Queue, Event
from queue import Empty as QueueEmpty
from random import randint, seed
from time import monotonic as now
from datetime import timedelta

TASKS_COUNT = 12
ARRAY_SIZE = 2_000_000
POOL_SIZE = 2

RomanSteinberg

# Description:
#   This script is a minimal example of a freeing buffer strange behavior. Originally it contains error diagnosed 
#   by PyTorch:
#   "RuntimeError: Trying to backward through the graph a second time, but the buffers have already been freed.
#   Specify retain_graph=True when calling backward the first time."
#
#   One can find statements which can be changed to remove error.

import torch
from torch import nn, cuda