dgobbi

# coding=utf-8
"""
A simple VTK widget for PyQt or PySide.
See http://www.trolltech.com for Qt documentation,
http://www.riverbankcomputing.co.uk for PyQt, and
http://pyside.github.io for PySide.

This class is based on the vtkGenericRenderWindowInteractor and is
therefore fairly powerful.  It should also play nicely with the
vtk3DWidget code.

Mallekin

from pyueye import ueye
import numpy as np
import cv2

def main():
    # init camera
    hcam = ueye.HIDS(0)
    ret = ueye.is_InitCamera(hcam, None)
    print(f"initCamera returns {ret}")

ndronen

#!/usr/bin/env python
"""
A quick, partial implementation of ENet (https://arxiv.org/abs/1606.02147) using PyTorch.
The original Torch ENet implementation can process a 480x360 image in ~12 ms (on a P2 AWS
instance).  TensorFlow takes ~35 ms.  The PyTorch implementation takes ~25 ms, an improvement
over TensorFlow, but worse than the original Torch.
"""

from __future__ import absolute_import

nocnokneo

cmake_minimum_required(VERSION 2.8.11)

project(VtkFboInQtQuick)

set(CMAKE_INCLUDE_CURRENT_DIR ON)
set(CMAKE_AUTOMOC ON)

find_package(VTK REQUIRED)
include(${VTK_USE_FILE})