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# Original Matlab code https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
#
#
# Python port of depth filling code from NYU toolbox
# Speed needs to be improved
#
# Uses 'pypardiso' solver 
#
import scipy
import skimage

shadimsaleh

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

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These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

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Toc

Keyboard shortcuts

The IPython Notebook has two different keyboard input modes. Edit mode allows you to type code/text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border.

MacOS modifier keys:

• ⌘ : Command

shadimsaleh

# https://www.youtube.com/watch?v=Y3ac5rFMNZ0&t=318s
# avconv -i rtsp://admin:admin@192.168.1.68/play1.sdp -c copy -map 0 -f segment -segment_time 300 -segment_format mp4 "capture-%03d-`date +%Y-%m-%d_%H:%M:%S`.mp4"

import cv2
backsub = cv2.BackgroundSubtractorMOG() #background subtraction to isolate moving cars
capture = cv2.VideoCapture("/home/ubuntu/Downloads/traffic_video.avi") 
i = 0
minArea=1
  while True:
    ret, frame = capture.read()

shadimsaleh

#include <ros/ros.h>
#include <iostream>
// PCL specific includes
#include <pcl/ModelCoefficients.h>
#include <pcl/point_types.h>
#include <pcl/io/pcd_io.h>
#include <pcl/filters/extract_indices.h>
#include <pcl/filters/voxel_grid.h>
#include <pcl/features/normal_3d.h>
#include <pcl/kdtree/kdtree.h>

shadimsaleh

from scipy.spatial import Delaunay, ConvexHull
import networkx as nx
 
points = [ [0,0],[0,50],[50,50],[50,0],[0,400],[0,450],[50,400],[50,450],[700,300],[700,350],[750,300],[750,350],
          [900,600],[950,650],[950,600],[900,650]
]
def concave(points,alpha_x=150,alpha_y=250):
    points = [(i[0],i[1]) if type(i) <> tuple else i for i in points]
    de = Delaunay(points)

shadimsaleh

Alternatives to the "Atlassian Stack"

Fuller stack alternatives (replaces at least two of the Atlassian stack)

• Phabricator

• Github

• Gitlab

• Taiga

• Redmine

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/*
http://benjithian.sg/2012/12/simple-background-subtraction/
Simple Background Subtraction. Simple stuff.
*/
#include <stdio.h>
#include <curl/curl.h>
#include <sstream> 
#include <iostream>
#include <vector> 
#include <opencv2/opencv.hpp>