I've tried everything from other questions but nothing seems to work. It’s installed on this computer, it’s just I can’t import it!
Here’s what I wrote:
from PIL import Image
#Open image using Image module
im = Image.open("/home/****/Pictures/Screenshot from 2021-08-03 18-21-59.png")
#Show actual Image
im.show()
I have seen this question before , but the solutions given did not help. I saved it with.py extension before running it, as well as checked the auto and Python build system. Nothing works.
I am simply inserting an image, and changing it to gray. It is for an AI project.
This is my code:
import cv2
import numpy as np
image = cv2.imread('test_image.jpg')
lane_image = np.copy(image)
gray = cv2.cvtColor(lane_image, cv2.COLOR_RGB2GRAY)
cv2.imshow('result', gray)
cv2.waitKey(0)
I am trying to create a screen recorder using mss and Opencv in python, the video I am capturing has a very different colours than original computer screen. I tried to find the solution online, Everyone saying it should be fixed using cvtColor() but I already have it in my code.
import cv2
from PIL import Image
import numpy as np
from mss import mss
import threading
from datetime import datetime
`
def thread_recording():
fourcc=cv2.VideoWriter_fourcc(*'mp4v')
#fourcc=cv2.VideoWriter_fourcc(*'XVID')
out=cv2.VideoWriter(vid_file,fourcc,50,(width,height))
mon = {"top": 0, "left": 0, "width":width, "height":height}
sct = mss()
thread1=threading.Thread(target=record,args=(mon,out,sct))
thread1.start()
def record(mon,out,sct):
global recording
recording=True
while recording:
frame= np.array(sct.grab(mon))
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
out.write(frame)
out.release()
the vid_file variable contains a string of output file name with mp4 extension
Screenshot of my screen
Screenshot from recorded video
So, I looked around some more and found that apparently this is a bug in opencv for versions 3.x on wards.then I tried PIL for getting rgb image and removed cvtColor(),but it produced an empty video.I removed both cvtColor() as well as PIL Image as suggested by #ZdaR it again wrote empty video Hence I had to put it back and boom. even if cvtColor() seems like doing nothing, for some unknown reason it has to be there.when you use PIL Image along with cvtColor() it writes the video as expected
from PIL import Image
def record(mon,out,sct):
global recording
recording=True
while recording:
frame=sct.grab(mon)
frame = Image.frombytes('RGB', frame.size, frame.rgb)
frame = cv2.cvtColor(np.array(frame), cv2.COLOR_BGR2RGB)
out.write(np.array(frame))
out.release()
as I am very new to programming, I would really appreciate your help if I missed or overlooked something important
You can do
frameRGB = cv2.cvtColor(frame,cv2.COLOR_RGB2BGR)
Frame is in BGR, and it will work the same as you are only changing R with B where frameRGB is in RGB now. This command will transfer R to B and works to transfer frames from RGB and BGR as well as BGR to RGB. BGR2RGB might be a bug, I have it as well but the command I mentioned works perfectly. That's what I do.
MSS store raw BGRA pixels. Does it work if you change to:
# Grab it
img = np.array(sct.grab(mon))
# Convert from BGRA to RGB
frame = cv2.cvtColor(img, cv2.COLOR_BGRA2RGB)
you should run this command in cmd
pip install opencv-python
So i am working on a small project(a restful service so json format which is not mentioned in the code) in which the code accepts base_64 image data and decodes it to from an image ,i'm able to convert it back to image but i am not able to use google vision(googel ocr) on the image to extract the text . The only part that isn't working is the following block of code:
from flask import Flask,request,jsonify
import os,io,re,glob,base64
from google.cloud import vision
from google.cloud.vision import types
from PIL import Image
app = Flask(__name__)
os.environ['GOOGLE_APPLICATION_CREDENTIALS']=r'date_scanner.json'
#app.route('/jason_example',methods=['POST'])
def jason_example():
req_data=request.get_json()
base_64_image_content=req_data['imgcnt']
#the issue starts from here
image = base64.b64decode(base_64_image_content)
image=Image.open(io.BytesIO(image))
image=vision.types.Image(content=content)
response=client.text_detection(image=image)
texts=response.text_annotations`
enter code here
No need to use Image.open which I think is a PIL method anyway. You should be able to decode this straight to a byte string with base64.decodebytes, as outlined in this answer,
The code should look like:
# the issue starts from here
image_bytes = base64.decodebytes(base_64_image_content)
image = vision.types.Image(content=image_bytes)
response=client.text_detection(image=image)
texts=response.text_annotations
I am trying to write images over each other. Ideally, what I want to do is to write every image in one folder over every image in another folder and output every unique image to another folder. So far, I am just working on having one image write over one image, but I can't seem to get that to work.
import numpy as np
import cv2
import matplotlib
def opencv_createsamples():
mask = ('resized_pos/2')
img = cv2.imread('neg/1')
new_img = img * (mask.astype(img.dtype))
cv2.imwrite('samp', new_img)
opencv_createsamples()
It would be helpful to have more information about your errors.
Something that stands out immediately is the lack of file type extensions. Your images are probably not being read correctly, to begin with. Also, image sizes would be a good thing to consider so you could resize as required.
If the goal is to blend images, considering the alpha channel is important. Here is a relevant question on StackOverflow:How to overlay images in python
Some other OpenCV docs that have helped me in the past: https://docs.opencv.org/trunk/d0/d86/tutorial_py_image_arithmetics.html
https://docs.opencv.org/3.1.0/d5/dc4/tutorial_adding_images.html
Hope this helps!