Develop Reference

No such file or directory bbox,label,conf = cv.detect_common_objects

from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import cvlib as cv
from cvlib.object_detection import draw_bbox
import tensorflow
image_path="D:/paper_data/user_picture1/10503.jpeg"
img=Image.open(image_path)
img=np.array(img)
plt.imshow(img)
plt.show()
bbox,label,conf = cv.detect_common_objects(img)
When i run the last code 'bbox,label,conf = cv.detect_common_objects(img)', python shows me the error:FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\vicky\.cvlib\object_detection\yolo\yolov3\yolov3_classes.txt'
Since this is my first attempt to analyze pictures and my purpose is to retrieve the objects in the picture.
My question is 1. whether there is any package can be used to achieve my purpose 2. what does the error showed above mean?

jupyter notebook won't show images

#%%
from Utils.ConfigProvider import ConfigProvider
import os
import cv2
import numpy as np
from matplotlib import pyplot as plt
config = ConfigProvider.config()
and
#%%
inspected = cv2.imread(config.data.inspected_image_path, 0)
reference = cv2.imread(config.data.reference_image_path, 0)
diff = np.abs(inspected - reference)
plt.figure()
plt.title('inspected')
plt.imshow(inspected)
plt.show()
note config.data.inspected_image_path and config.data.reference_image_path are valid paths.
No errors appear, but no images are shown as well.
Running the same code from a python file does show the image.
I have something missing from the notebook.
This happens both when running using jupyter notebook and directly from PyCharm (pro)
How do I get to see images? all other answers I found just tell me to plt.show() but this obviously does not work.
I don't mind a cv2 solution as well.

You need to set a matplotlib backend.
You can do this with
%matplotlib inline
If you want to be able to interact with the plot, use
%matplotlib notebook

How to resize a Python matplotlib.pyplot.figure already created

I'm working with this custom Py visual in PowerBI. Unfortunately, Power BI has some Python code leading my code that pre-defines the image size (5.55555555555556,4.16666666666667).
The result is a small image surrounded by a lot of empty space:
Is there any way I can redefine the size of the image, even though I cannot modify the leading code?
Any other suggestions are welcome,
Thanks!
# Prolog - Auto Generated #
import os, uuid, matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot
import pandas
os.chdir(u'C:/Users/USER/PythonEditorWrapper_443a6d71-c4cc-4e62-ac6f-2dad3eeace3d')
dataset = pandas.read_csv('input_df_d2b6d8be-2212-4ece-902c-f85219eff22b.csv')
matplotlib.pyplot.figure(figsize=(5.55555555555556,4.16666666666667), dpi=72)
matplotlib.pyplot.show = lambda args=None,kw=None: matplotlib.pyplot.savefig(str(uuid.uuid1()))
#My code starts here, I cannot modify anything above this line.
#I wish I could add a line here to redefine figsize=(5.55555555555556,4.16666666666667)

from matplotlib import pyplot as plt
plt.figure(figsize=(15,20))
try this

matplotlib does not show the image

from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
i = Image.open('images/dot.png')
iar = np.asarray(i)
plt.imshow(iar)
plt.show()
I have the image called dot.png in the same directory but it is not working.
When I start the program no errors detected. It runs fine. But the matplotlib tool not working.
The window look like this:

Ipython notebook (jupyter),opencv (cv2) and plotting?

Is there a way to use and plot with opencv2 with ipython notebook?
I am fairly new to python image analysis. I decided to go with the notebook work flow to make nice record as I process and it has been working out quite well using matplotlib/pylab to plot things.
An initial hurdle I had was how to plot things within the notebook. Easy, just use magic:
%matplotlib inline
Later, I wanted to perform manipulations with interactive plots but plotting in a dedicated window would always freeze. Fine, I learnt again that you need to use magic. Instead of just importing the modules:
%pylab
Now I have moved onto working with opencv. I am now back to the same problem, where I either want to plot inline or use dedicated, interactive windows depending on the task at hand. Is there similar magic to use? Is there another way to get things working? Or am I stuck and need to just go back to running a program from IDLE?
As a side note: I know that opencv has installed correctly. Firstly, because I got no errors either installing or importing the cv2 module. Secondly, because I can read in images with cv2 and then plot them with something else.

This is my empty template:
import cv2
import matplotlib.pyplot as plt
import numpy as np
import sys
%matplotlib inline
im = cv2.imread('IMG_FILENAME',0)
h,w = im.shape[:2]
print(im.shape)
plt.imshow(im,cmap='gray')
plt.show()
See online sample

For a Jupyter notebook running on Python 3.5 I had to modify this to:
import io
import cv2
import numpy as np
from IPython.display import clear_output, Image, display
import PIL.Image
def showarray(a, fmt='jpeg'):
a = np.uint8(np.clip(a, 0, 255))
f = io.BytesIO()
PIL.Image.fromarray(a).save(f, fmt)
display(Image(data=f.getvalue()))

There is also that little function that was used into the Google Deepdream Notebook:
import cv2
import numpy as np
from IPython.display import clear_output, Image, display
from cStringIO import StringIO
import PIL.Image
def showarray(a, fmt='jpeg'):
a = np.uint8(np.clip(a, 0, 255))
f = StringIO()
PIL.Image.fromarray(a).save(f, fmt)
display(Image(data=f.getvalue()))
Then you can do :
img = cv2.imread("an_image.jpg")
And simply :
showarray(img)
Each time you need to render the image in a cell