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How do i create a video from a static image and an audio file?

Im trying to write a program that creates an mp4 from a static image and an audio file.
Here is the code im using so far:
from moviepy.editor import AudioFileClip, ImageClip
def mp3PNGMerge(fileSaveName):
audio_clip = AudioFileClip("[PATH TO AUDIO]")
image_clip = ImageClip("PATH TO IMAGE")
video_clip = image_clip.set_audio(audio_clip)
video_clip.duration = audio_clip.duration
video_clip.fps = 1
video_clip.write_videofile(fileSaveName + '_CLIP.mp4')
mp3PNGMerge('[OUTPUT FILE NAME]')
However when this is run, the program creates a video the length of the audio clip but does not play the audio, it is completely silent.
Does anyone know what is going on here?

change the video_clip.fps to 30,
audio file can't be played on 1 fps
from moviepy.editor import AudioFileClip, ImageClip
def mp3PNGMerge(fileSaveName):
audio_clip = AudioFileClip("[PATH TO AUDIO]")
image_clip = ImageClip("PATH TO IMAGE")
video_clip = image_clip.set_audio(audio_clip)
video_clip.duration = audio_clip.duration
video_clip.fps = 30
video_clip.write_videofile(fileSaveName + '_CLIP.mp4')
mp3PNGMerge('[OUTPUT FILE NAME]')

The logic should be to set your sound on videoClip not imageClip.
I don't use MoviePY or Python but from looking at the docs, I would try as:
from moviepy.editor import AudioFileClip, ImageClip
def mp3PNGMerge(fileSaveName):
audio_clip = AudioFileClip("[PATH TO AUDIO]")
image_clip = ImageClip("PATH TO IMAGE")
video_clip = VideoClip(image_clip)
video_clip.set_audio(audio_clip)
video_clip.duration = audio_clip.duration
video_clip.fps = 30
video_clip.write_videofile(fileSaveName + '_CLIP.mp4')
mp3PNGMerge('[OUTPUT FILE NAME]')
I don't know if it will get you on the right track (eg: maybe video_clip.set_audio( ... ) is supposed to be set as video_clip.audio( ... ). The code logic should be correct.
Let me know how it goes (eg: I can delete this post if it's not a correct Answer).

How to use all available computing powers in a function

I need a function that changes their size for a given number of photos, use all available computing powers. I found that I can use function parallel for this, but I don't know how to use it properly.
Here is my code:
from random import randint
from fastai.core import parallel
import cv2
def image_conversion(list, size, directory, conversion):
if conversion == '--resize':
for img in list:
imageAsNumpy = cv2.imread(img)
dim = (size[1], size[0])
resized = cv2.resize(imageAsNumpy, dim, interpolation = cv2.INTER_AREA)
writeStatus = cv2.imwrite(directory + img, resized)
if writeStatus is True:
print('Imagine written successfully!')
else:
print('Something went wrong!')
elif conversion == '--random crop':
for img in list:
image = cv2.imread(img)
height, width = image.shape[:2]
h = randint(0, height)
w = randint(0, width)
cropped = image[h:h+width, w:w+height]
status = cv2.imwrite(directory + img, cropped)
if status is True:
print('Imagine cropped')
else:
print('Problem')
But when I tried to call parallel function it fails every time, for example the progress bar goes to a 100%, but with none of the work is completed. Could someone please help me understand what I am doing wrong?

Python select ROI OpenCV

Sample Image
Hello,
I created an application in python that select the Region of Interest(ROI) of an image, record and label it. But I has a limit of one ROI per image, anyone know how to have multiple selection of ROI per image? Also on attached image, as you can see I have multiple window, I want it to be in one window with different options, what packages are use on this kind of application.
here's my code in python using opencv2. Thank you in advance for the help
for image in filelist:
img = cv2.imread(image)
fromCenter = False
r = cv2.selectROI(img, fromCenter)
lbl = simpledialog.askstring("Image Label", "Please Enter Label")
result = eTree.SubElement(results, "Image")
path = eTree.SubElement(result, 'Path')
roi = eTree.SubElement(result, 'ROI')
label = eTree.SubElement(result, 'Label')
path.text = str(image)
roi.text = str(r)
label.text = str(lbl)
tree = eTree.ElementTree(results)
i = i + 1
if i == count:
format = [('XML Files', '*.xml'), ('All Files', '*.*')]
save = filedialog.asksaveasfilename(filetype=format, defaultextension='*.xml')
tree.write(save, xml_declaration=True, encoding='utf-8', method="xml")

Well at least for the first part of the question, have you considered to try the cv2.createROIs() instead of cv2.createROI() ? When the image window is opened you then select your first ROI and press enter, then the second and press enter etc. And when you are finished then press the escape key. It returns x,y,w,h of each ROI. Note that you will have to change your code accordingly but it will allow you to select multiple ROI.
Input image:
Example:
import cv2
img = cv2.imread('rois.png')
fromCenter = False
ROIs = cv2.selectROIs('Select ROIs', img, fromCenter)
ROI_1 = img[ROIs[0][1]:ROIs[0][1]+ROIs[0][3], ROIs[0][0]:ROIs[0][0]+ROIs[0][2]]
ROI_2 = img[ROIs[1][1]:ROIs[1][1]+ROIs[1][3], ROIs[1][0]:ROIs[1][0]+ROIs[1][2]]
ROI_3 = img[ROIs[2][1]:ROIs[2][1]+ROIs[2][3], ROIs[2][0]:ROIs[2][0]+ROIs[2][2]]
cv2.imshow('1', ROI_1)
cv2.imshow('2', ROI_2)
cv2.imshow('3', ROI_3)
cv2.waitKey(0)
cv2.destroyAllWindows()
Result:

For custom ROI you can use EasyROI. It supports rectangle, line, circle and polygon.
For using it:
pip install EasyROI
from EasyROI import EasyROI
roi_helper = EasyROI()
roi = roi_helper.draw_rectangle(frame, quantity=2)

Hide phantomjs console

I am doing a project and I want him to be invisible. Therefore, i used this website - http://pytoexe.com/ to create an window based exe file from my python script which means it will not use the windows console.
Unfortuently, since i am using phantomjs driver in my code, he opens a phantomjs console which interrupt me.
In order to slove this problem I need to add a line or script that prevent from the phantomjs console to appear ( changing something in my selenium files/ something like that would not work cause it probably problem in their files and i cannot doing anything with that) .
Someone know what to do?
this is my exe file
and This is my code:
from selenium import webdriver
import time
from PIL import Image
from constants import *
import operator
import os
#Email Constants
DEFAULT_CONTENT = 'example email stuff here'
HOST = 'smtp.gmail.com'
PORT = 587
EMAIL = 'freeadsandspam#gmail.com'
CUSTOMERS = []
SUBJECTS = ['new ad were found', 'ad were found by SMADS', 'best ad for you']
COMMASPACE = ', '
#Getting History
OUTPUT_FILE_PATH = 'C:\search_logger.txt'
COPY_OF_THE_HISTORY_PATH = 'C:\history'
NEW_OUTPUT_FILE_PATH = 'C:\last_search_logger.txt'
#PhantomJs And Ads Finding
PHANTOM_JS_PATH = 'C:\phantomjs-2.1.1-windows\\bin\phantomjs.exe'
OUTPUT_AD_PATH = 'ad.png'
DEFAULT_WINDOW_SIZE = (1024, 768)
AD_DATABASE = 'https://www.findads.com.au/'
KEYWORD_BUTTON_XPATH = '//*[#id="txtSearch"]'
SEARCH_BUTTON_XPATH = '/html/body/div[1]/div/form/button'
CONSTANT_TIME_SLEEPING = 3
AD_XPATH = '/html/body/div[1]/section/div/div[1]/div[4]/div[1]/div[1]/section[24]'
COMPARE_ELEMENT_XPATH = '//*[#id="fSearch"]'
CATAGORY_SORT_XPATH = '/html/body/div[1]/section/div/div[1]/div[5]/div/div[3]/form/div[1]/div[1]'
class PhantomJsDriver:
"""
A class that taking care on the ads finding
in the internet, doing it with PhantomJs -
background driver
"""
def __init__(self, ad_keyword, window_size=DEFAULT_WINDOW_SIZE, panthom_js_path=PHANTOM_JS_PATH, output_ad_path=OUTPUT_AD_PATH):
"""
this function init our object
in order to use the other functions
that the object offer.
Parameters
----------
phantom_js_path : str
path of the PhantomJs ( this essential because
we cannot get the PhantomJs file otherwise)
output_ad_path : str
where you want to save the ad that the system
had found and how you call the name of the ad
file ( eg: ad.png )
ad_keyword : str
the keyword that define what ad the system bring
( eg: dog will bring dog ad )
window_size : double int (int1,int2)
define the window size of the browser ( mainly for the
screenshot )
"""
self.phantom_js_path = panthom_js_path
self.output_ad_path = output_ad_path
self.ad_keyword = ad_keyword
self.window_size = window_size
self.list_of_images = []
self.dict = {}
def get_ad(self):
"""
this function save the ad by searching in the internet
( on specific website ) the keyword that the user chose
and copy it into the output_ad_path.
"""
for i in range(0, 5):
driver = webdriver.PhantomJS(self.phantom_js_path)
driver.set_window_size(self.window_size[0], self.window_size[1])
driver.get(AD_DATABASE)
keyword = driver.find_element_by_xpath(KEYWORD_BUTTON_XPATH)
keyword.send_keys(self.ad_keyword)
search_button = driver.find_element_by_xpath(SEARCH_BUTTON_XPATH)
search_button.click()
driver.save_screenshot("ad" + str(i) + ".png")
element = driver.find_element_by_xpath(AD_XPATH) # find part of the page you want image of
self.crop_image(i, element)
def crop_image(self, i, element):
"""
this function crop the screenshot of the ads website from
the previous function into one single ad.
"""
im = Image.open("ad" + str(i) + ".png") # uses PIL library to open image in memory
location = element.location
size = element.size
left = location['x']
top = location['y']
right = location['x'] + size['width'] + 50
bottom = location['y'] + size['height']
weight, height = im.size
print height
im = im.crop((left, top, right, bottom)) # defines crop points
im.save('test' + str(i) + '.png') # saves new cropped image
self.list_of_images.append('test' + str(i) + '.png')
self.dict['test' + str(i) + '.png'] = 0
def choose_the_best_ad(self):
for img1 in self.list_of_images:
for img2 in self.list_of_images:
im1 = Image.open(img1)
im2 = Image.open(img2)
if list(im1.getdata()) == list(im2.getdata()):
self.dict[img1] += 1
self.dict[img2] += 1
print self.dict
BestImage = max(self.dict.iteritems(), key=operator.itemgetter(1))[0]
print BestImage
if os.path.exists("TheImage.png"):
os.remove("TheImage.png")
os.rename(BestImage, "TheImage.png")
driver = PhantomJsDriver("dog")
driver.get_ad()
driver.choose_the_best_ad()

NAO fails to save captured image to local computer

I'm trying to save a captured 640x480 RGB image with NAO's front camera to my computer. I'm using python and PIL to do so. Unfortunately, the image just won't save on my computer, no matter what image type or path I use for the parameters of the Image.save()- Method. the image created with PIL contains valid RGB-information though. Here's my code sample from choregraphe:
import Image
def onInput_onStart(self):
cam_input = ALProxy("ALVideoDevice")
nameId = cam_input.subscribeCamera("Test_Cam", 1, 2, 13, 20)
image = cam_input.getImageRemote(nameId) #captures an image
w = image[0] #get the image width
h = image[1] #get the image height
pixel_array = image[6] #contains the image data
result = Image.fromstring("RGB", (w, h), pixel_array)
#the following line doesnt work
result.save("C:\Users\Claudia\Desktop\NAO\Bilder\test.png", "PNG")
cam_input.releaseImage(nameId)
cam_input.unsubscribe(nameId)
pass
Thank you so much for your help in advance!
- a frustrated student

In the comment, you say the code is pasted from choregraphe, so I guess you launch it using choregraphe.
If so, then the code is injected into your robot then started.
So your image is saved to the NAO hard drive and I guess your robot doesn't have a folder named: "C:\Users\Claudia\Desktop\NAO\Bilder\test.png".
So change the path to "/home/nao/test.png", start your code, then log into your NAO using putty or browse folder using winscp (as it looks like you're using windows).
And you should see your image-file.

In order for your code to run correctly it needs to be properly indented. Your code should look like this:
import Image
def onInput_onStart(self):
cam_input = ALProxy("ALVideoDevice")
nameId = cam_input.subscribeCamera("Test_Cam", 1, 2, 13, 20)
image = cam_input.getImageRemote(nameId) #captures an image
w = image[0] #get the image width
h = image[1] #get the image height
pixel_array = image[6] #contains the image data
...
Make sure to indent everything that's inside the def onInput_onStart(self): method.

Sorry for the late response, but it maybe helpful for someone. You should try it with naoqi. Here is the documentation for retriving images
http://doc.aldebaran.com/2-4/dev/python/examples/vision/get_image.html
The original code was not working for me so I made some tweeks.
parser = argparse.ArgumentParser()
parser.add_argument("--ip", type=str, default="nao.local.",
help="Robot IP address. On robot or Local Naoqi: use
'nao.local.'.")
parser.add_argument("--port", type=int, default=9559,
help="Naoqi port number")
args = parser.parse_args()
session = qi.Session()
try:
session.connect("tcp://" + args.ip + ":" + str(args.port))
except RuntimeError:
pass
"""
First get an image, then show it on the screen with PIL.
"""
# Get the service ALVideoDevice.
video_service = session.service("ALVideoDevice")
resolution = 2 # VGA
colorSpace = 11 # RGB
videoClient = video_service.subscribe("python_client",0,3,13,1)
t0 = time.time()
# Get a camera image.
# image[6] contains the image data passed as an array of ASCII chars.
naoImage = video_service.getImageRemote(videoClient)
t1 = time.time()
# Time the image transfer.
print ("acquisition delay ", t1 - t0)
#video_service.unsubscribe(videoClient)
# Now we work with the image returned and save it as a PNG using ImageDraw
# package.
# Get the image size and pixel array.
imageWidth = naoImage[0]
imageHeight = naoImage[1]
array = naoImage[6]
image_string = str(bytearray(array))
# Create a PIL Image from our pixel array.
im = Image.fromstring("RGB", (imageWidth, imageHeight), image_string)
# Save the image.
im.save("C:\\Users\\Lenovo\\Desktop\\PROJEKTI\\python2-
connect4\\camImage.png", "PNG")
Be careful to use Python 2.7.
The code runs on your computer not the NAO robot!