weberhen

def get_rgb_angular_error_torch(gt_render, pred_render):
    # The error need to be computed with the normalized rgb image.
    # Normalized RGB is r = R / (R+G+B), g = G / (R+G+B), b = B / (R+G+B)
    # The angular distance is the distance between pixel 1 and pixel 2.
    # It's computed with cos^-1(p1·p2 / ||p1||*||p2||)
    
    num = torch.sum((gt_render / torch.sum(gt_render, dim=2, keepdim=True)) * (pred_render / torch.sum(pred_render, dim=2, keepdim=True)), dim=2, keepdim=True)
    den = (torch.sqrt(torch.sum((gt_render / torch.sum(gt_render, dim=2, keepdim=True))**2, dim=2, keepdim=True)) * torch.sqrt(torch.sum((pred_render / torch.sum(pred_render, dim=2, keepdim=True))**2, dim=2, keepdim=True)))
    angular_distance = torch.arccos(num / den)

weberhen

import os
import pyredner
import torch
import imageio
import cv2
from difflight.tools.render_envmap import render_envmap

root_folder = '/gel/usr/heweb4/datasets/LavalIndoor/params'
masks_folder = '/gel/usr/heweb4/datasets/LavalIndoor/maskPanoramas/'
input_folder_exr = '/gel/usr/heweb4/datasets/LavalIndoor/1942x971/'

weberhen

list of numpy arrays to a single numpy array
  numpy_array = np.array(np.concatenate(tuple(list)))
  
force image resize to specific size
  convert '*.jpg[200x100!]' resized%03d.png

serve html files (with css) accessible through SVN:
  svn propset svn:mime-type text/css doc/build/html/_static/*.css
  
OpenCV convention:

weberhen

import mss
import numpy
import cv2

out = cv2.VideoWriter("output.avi", cv2.VideoWriter_fourcc(*'MJPG'), 25.0,(600,400), True)

i = 0
while i < 1000:
    i+=1
    with mss.mss() as sct:

weberhen

#include <stdio.h>
#include <stdlib.h>
#include <time.h>  

int main(int argc, char**argv)
{
    srand (time(NULL));
    printf("%d",rand()%atoi(argv[1]));
    return 0;
}