i have an xml file which is haar cascade and supposed to be on server , but I wanna use it in my openCV file code , how should I do that? btw I used <opencv_storage> tag.
You need to give the full paths of the xml. The xml files are located under the
opencv\data\haarcascades
location.
For instance:
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('C:\\Users\\opencv\\data\\haarcascades\\haarcascade_frontalface_default.xml')
Related
I have a Python program with a video file reader scenario. To do this, I use the FileVideoStream API from the library imutils.video as follows
from imutils.video import FileVideoStream
import time
import numpy as np
import cv2
vs = FileVideoStream('~/Downloads/capture.webm').start()
time.sleep(1.0)
while True:
if not vs.more():
print("vs", vs.more())
vs.stop()
break
print("vs", vs.more())
frame = vs.read()
The problem is the location "~/Downloads/capture.webm" is not recognized by the FileVideoStream function even the video file is exists in the mentioned directory.
ERROR: OpenCV: Couldn't read video stream from file "~/Downloads/capture.webm"
But when I save the video in the same python project directory and call as "capture.webm" it works!
And also the function doesn't recognize videos from a URL.
How can I solve this?
Completion for ~ inside path ~/Downloads/capture.webm is done by bash/sh/etc.. If you are using python you have to use full path /home/username/Downloads/capture.webm.
You can also use os.environ.get('USER') to get current USER name and insert it inside full path. For example
'/home/%s/Downloads/capture.webm' % os.environ.get('USER')
I am currently working on a project using imaging flow cytometry images in python. the images are .tiff an example file name is image27_Ch1.ome.tiff . I am having a little trouble with opening these images. I have tried to use matplotlib and PIL and the tifffile library but whatever I try does not seem to work. It always tells me FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff' . Although I double and triple-checked that the directory to the image is correct, even when I copy and paste the path to the image from the image properties itself it still gives me this error. I tried converting a few images into .png images and the code works and will load the images, this is not ideal because I have a data set of a few hundred thousand images. I was wondering if anyone out there in the StackOverflow universe knows how to deal with a problem like this or has dealt with .tiff images in python in the past. Below is some of the code that I have tried to open these images.
import matplotlib.pyplot as plt
path = 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff'
I = plt.imread(path)
from PIL import Image
path = 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff'
image = Image.open(path)
Thank you very much to whoever reads or answers this question.
Try rasterio and matplotlib
import rasterio
import matplotlib.pyplot as plt
src_path = "Your_sat_img.tif"
img = rasterio.open(src_path)
plt.figure(figsize=(22, 22))
plt.imshow(img.read([1,2,3]).transpose(1, 2, 0))
You can try this code to open any tiff file:
import rasterio
from rasterio.plot import show
tiff_img = rasterio.open('filename.tif')
show(tiff_img)
I am trying to extract the characters in the x-ray, I have tried using pytesseract to extract but couldn't succeed, I used a canny edge to remove the noise and extract, but still, I am not able to extract the text/chars. Can you please help/guide me to extract the text/chars
Try this tuotrial to locate the text:
https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/
Then once you locate you can isolate and use tesseract to recognize it.
If it's a DICOM file, you could use gdcm to get the attribute. It's available on python too.
pytesseract should be sufficient, if the file is in 'png' or 'jpg' form.
now suppose image is the name of your image. Please write the below code.
from PIL import Image
from pytesseract import image_to_string
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r'C:/Program Files (x86)/Tesseract-OCR/tesseract.exe'
im = Image.open('F:/kush/invert.jpg')
pytesseract.image_to_string(im, lang = 'eng')
I'm newbie in python and in geoprocessing. I'm writing some program to calculate ndwi. To make this, I try to open geotiff dataset with gdal, but dataset can't be opened. I tried to open different tiff files (Landsat8 multiple data, Landsat7 composite, etc), but dataset is always None.
What reason to this could be? Or how can i find it out?
Here's a part of code:
import sys, os, struct
import gdal, gdalconst
from gdalconst import *
import numpy as np
from numpy import *
class GDALCalcNDWI ():
def calcNDWI(self, outFilePath):
gdal.AllRegister()
# this allows GDAL to throw Python Exceptions
gdal.UseExceptions()
filePath = "C:\\Users\\Daria\\Desktop.TIF\\170028-2007-05-21.tif"
# Open
dataset = gdal.Open(filePath, gdal.GA_ReadOnly)
# Check
if dataset is None:
print ("can't open tiff file")
sys.exit(-1)
Thanks
Whenever you have a well-known file reader that is returning None, make sure the path to your file is correct. I doubt you have a directory called Desktop.TIF, I'm assuming you just made a typo in your source code. You probably want C:\\Users\\Dara\\Desktop\\TIF\\170028-2007-05-21.tif as the path (note that Desktop.TIF ==> Desktop\\TIF).
The safest thing to do is right click on the file, go to properties, and copy/paste that path into your python source code.
I am using Python 2.7.11 and OpenCV 2.4.9. I cannot read a video by using cv2.imread() or cv2.VideoCapture().
import cv2
cap = cv2.VideoCapture('cam.avi')
print ("open = ",cap.isOpened())
OR
import cv2
cap = cv2.imread('cam.avi')
print ("open = ",cap.isOpened())
It will return false.
I don't know why. I am sure that the cam.avi is here.
imread() does not support reading from video files directly.
See also the documentation of OpenCV.
If you want to read a video with imread you will first have to convert it to single images, either via a serperate program (ffmpeg comes to mind) or using OpenCV and store the images in memory.
Try providing full path to video, like:
import cv2
cap = cv2.VideoCapture(r'C:\Users\e01069\Downloads\drop.avi')
print ("open = ",cap.isOpened())
If you run following in your same file, you would know that python is looking for your file on some different location.
import os
print os.path.abspath(__file__) #this is your current working directory
Note: .imread wouldn't work this way.