jayrambhia

#include <errno.h>
#include <fcntl.h>
#include <linux/videodev2.h>
#include <stdint.h>
#include <stdio.h>
#include <string.h>
#include <sys/ioctl.h>
#include <sys/mman.h>
#include <unistd.h>
#include <opencv2/core/core.hpp>

jayrambhia

[h264 @ 0x4731c00] non-existing PPS referenced
[h264 @ 0x4731c00] non-existing PPS 0 referenced
[h264 @ 0x4731c00] decode_slice_header error
[h264 @ 0x4731c00] no frame!
[h264 @ 0x4731c00] non-existing PPS referenced
[h264 @ 0x4731c00] non-existing PPS 0 referenced
[h264 @ 0x4731c00] decode_slice_header error
[h264 @ 0x4731c00] no frame!
[h264 @ 0x4731c00] non-existing PPS referenced
[h264 @ 0x4731c00] non-existing PPS 0 referenced

jayrambhia

/*
 *  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>

jayrambhia

Canny(img_thresh, img_canny, 60, 110);

vector< vector<Point> > contours;
vector< vector<Point> >hull;
vector< vector<int> >hullI;

findContours(img_canny, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

for(i = 0; i < contours.size(); i++)
{

jayrambhia

import numpy as np

# Get the numpy array
import cv2
img = cv2.imread("Lenna.png")

# Get 3 layers
layer1 = img[:,:,0]
layer2 = img[:,:,1]
layer3 = img[:,:,2]

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)

jayrambhia

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

jayrambhia

/var/lib/gems/1.8/gems/nestful-1.0.3/lib/nestful/endpoint.rb:39:in `request': /var/lib/gems/1.8/gems/nestful-1.0.3/lib/nestful/request.rb:99: syntax error, unexpected '.', expecting kEND (SyntaxError)
        .merge(content_type_headers)
         ^
/var/lib/gems/1.8/gems/nestful-1.0.3/lib/nestful/request.rb:100: syntax error, unexpected '.', expecting kEND
        .merge(headers)
         ^
	from /var/lib/gems/1.8/gems/nestful-1.0.3/lib/nestful/endpoint.rb:23:in `get'
	from /var/lib/gems/1.8/gems/nestful-1.0.3/lib/nestful.rb:16:in `get'
	from /var/lib/gems/1.8/gems/HNsearch-1.0/lib/HNsearch/HNsearch_api.rb:16:in `query_items'
	from /var/lib/gems/1.8/gems/HNsearch-1.0/lib/HNsearch.rb:11:in `items'

jayrambhia

sudo apt-get install -y wget
sudo apt-get install -y git
wget https://raw.github.com/jayrambhia/Install-OpenCV/master/Ubuntu/2.4/opencv2_4_5.sh
sh opencv_2_4_5.sh
sudo apt-get install -y python-scipy ipython ipython-notebook
sudo apt-get install -y python-setuptools
cd ~
git clone [email protected]:jayrambhia/SimpleCV.git
cd SimpleCV
sudo python setup.py develop

jayrambhia

########
# 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()