clungzta

import numpy as np
import cv2
import matplotlib.pyplot as plt

img = cv2.imread('/home/alex/opencv_workshop_videos/opencv-play/images/sky4.jpg')
mask = np.zeros(img.shape[:2],np.uint8)

def plot_1Dhistogram(img,nbins,mask=None):
    # plot 1D histograms for each chanel
    nbins = 30

clungzta

import os
import cv2
import numpy as np

def hist_exhaustive_search(hists_to_search, labels, test_hist, methodName="Hellinger"):
  OPENCV_METHODS = {}
  OPENCV_METHODS["Correlation"] = cv2.HISTCMP_CORREL
  OPENCV_METHODS["Intersection"] = cv2.HISTCMP_INTERSECT
  OPENCV_METHODS["Hellinger"] = cv2.HISTCMP_BHATTACHARYYA

clungzta

import numpy as np
import cv2

img = cv2.imread('background.jpg')
overlay_t = cv2.imread('foreground_transparent.png',-1) # -1 loads with transparency

def overlay_transparent(background_img, img_to_overlay_t, x, y, overlay_size=None):
	"""
	@brief      Overlays a transparant PNG onto another image using CV2
	

clungzta

VERBOSITY = 1

# Change Package name to suit that
PACKAGE_NAME=org.test.kivytestapp

echo $PACKAGE_NAME
echo "Building the android app in debug mode."
buildozer -v android debug

echo "Loading the app onto to the debug mode device."

clungzta

import os, io
import json
import rosbag
import subprocess
from sensor_msgs.msg import PointCloud2
from rospy_message_converter import json_message_converter

def bag_to_pcd(filepath, topic):
	#  Call PCL ROS `bag_to_pcd` http://wiki.ros.org/pcl_ros
	command = ['rosrun', 'pcl_ros', 'bag_to_pcd', filepath, topic, './output_pcd']

clungzta

import numpy as np

# List of measuerement samples
A = [0.058, 0.06, 0.066]

mean = np.mean(A)
greatest_difference_from_mean = np.amax(np.abs(np.mean(A) - A))

print(u'{:.3f} \u00B1 {:.3f}'.format(mean, greatest_difference_from_mean))

clungzta

import cv2
import numpy as np

def overlay_transparent(background_img, img_to_overlay_t, x, y, overlay_size=None):
    """
    @brief      Overlays a transparant PNG onto another image using CV2
    
    @param      background_img    The background image
    @param      img_to_overlay_t  The transparent image to overlay (has alpha channel)
    @param      x                 x location to place the top-left corner of our overlay

clungzta

Step 1 - Follow install and setup instructions for janus, gst-launch1.0, nginx (and required dependencies)

https://www.rs-online.com/designspark/building-a-raspberry-pi-2-webrtc-camera

Step 2 - Launch Janus

./janus -F /opt/janus/etc/janus/

Step 3 - Start streaming from webcam

gst-launch-1.0 v4l2src ! 'video/x-raw, width=640, height=480, framerate=30/1' ! videoconvert ! x264enc pass=qual quantizer=20 tune=zerolatency ! rtph264pay ! udpsink host=127.0.0.1 port=8004

Step 4 - Open demo page in browser

clungzta

# All python* processes running on this system (includes python and python3)
searchTerm=python

echo ''
for pid in `ps -ef | grep $searchTerm | awk '{print $2}'`
do
    TTYNAME=$(ps u --pid $pid | awk 'FNR > 1 {print $7}' | grep -v '?')

    if [ ! -z "${TTYNAME}" ]; then
        printf '%*s\n' "${COLUMNS:-$(tput cols)}" '' | tr ' ' -

clungzta

import os
import time
from random import *
import multiprocessing

class Consumer(multiprocessing.Process):
    
    def __init__(self, task_queue, result_queue):
        multiprocessing.Process.__init__(self)
        self.task_queue = task_queue