lawloretienne

Table Of Contents

• Data Structures
  • Linked Lists
  • Trees
    • Binary Trees
    • Binary Search Tree
    • Red-Black Tree
    • AVL Tree
• Tries

jayrambhia

CXXFLAGS = -O2 -g -Wall -fmessage-length=0 `pkg-config opencv --cflags ` -I /usr/include/libusb-1.0
OBJS = freenectopencvmat.o 
LIBS = `pkg-config opencv --libs` -lfreenect
TARGET = kinectopencv
$(TARGET):$(OBJS)
	$(CXX) -o $(TARGET) $(OBJS) $(LIBS)
all:$(TARGET)
clean:
	rm -f $(OBJS) $(TARGET)

mike-lawrence

########
# This code creates 2 sub-processes: one that continually polls a webcam and labels each resulting image with a timestamp, and another that saves these images to file. The process that saves the images to file doesn't save all the images, but instead listens to the main process for time windows that it should save. This permits one to save only certain time windows (toss images that fall outside this time window) and avoids the capture start up lag that occurs if you simply try to poll the webcam during the time window of interest (this lag can be several tenths of a second!). Converting the images to string then pickling before queueing them was necessary because opencv's iplimage format doesn't like to be put in a queue directly.
########

import multiprocessing
import cv
import cPickle
import time

queue_to_cam_writer = multiprocessing.Queue()

jayrambhia

import pcap, dpkt, socket
import os
import time

pc = pcap.pcap('eth0')
ports = (80, 8080, 443, 888)

def process():
  t = time.time()
  i = 0

maxlapshin

/*
 *  V4L2 video capture example
 *
 *  This program can be used and distributed without restrictions.
 *
 *      This program is provided with the V4L2 API
 * see http://linuxtv.org/docs.php for more information
 */

#include <stdio.h>