Tried to load training data with pytorch torch.datasets.ImageFolder in Colab.
transform = transforms.Compose([transforms.Resize(400),
transforms.ToTensor()])
dataset_path = 'ss/'
dataset = datasets.ImageFolder(root=dataset_path, transform=transform)
dataloader = torch.utils.data.DataLoader(dataset, batch_size=20)
I encountered the following error :
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-27-7abcc1f434b1> in <module>()
2 transforms.ToTensor()])
3 dataset_path = 'ss/'
----> 4 dataset = datasets.ImageFolder(root=dataset_path, transform=transform)
5 dataloader = torch.utils.data.DataLoader(dataset, batch_size=20)
3 frames
/usr/local/lib/python3.7/dist-packages/torchvision/datasets/folder.py in make_dataset(directory, class_to_idx, extensions, is_valid_file)
100 if extensions is not None:
101 msg += f"Supported extensions are: {', '.join(extensions)}"
--> 102 raise FileNotFoundError(msg)
103
104 return instances
FileNotFoundError: Found no valid file for the classes .ipynb_checkpoints. Supported extensions are: .jpg, .jpeg, .png, .ppm, .bmp, .pgm, .tif, .tiff, .webp
My Dataset folder contains a subfolder with many training images in png format, still the ImageFolder can't access them.
I encountered the same problem when I was using IPython notebook-like tools.
First please check if there is any hidden files under your dataset_path. Use ls -a if you are under a Linux environment.
The case happen to me is I found a hidden file called .ipynb_checkpoints which is located parallelly to image class subfolders. I think that file causes confusion to PyTorch dataset. I made sure it is not useful so I simply deleted it. Then the dataset works fine.
Or if you would like to simply ignore that file, you may also try this.
The files in the image folder need to be placed in the subfolders for each class, like this:
root/dog/xxx.png
root/dog/xxy.png
root/dog/[...]/xxz.png
root/cat/123.png
root/cat/nsdf3.png
root/cat/[...]/asd932_.png
https://pytorch.org/vision/stable/datasets.html#torchvision.datasets.ImageFolder
Are your files in ss dir organized in this way?
1- The files in the image folder need to be placed in the subfolders for each class (as said Sergii Dymchenko)
2- Put the absolute path when using google colab
The solution for google colaboratory:
When you creating a directory, coollaboratory additionally creates .ipynb_checkpoints in it.
To solve the problem, it is enough to remove it from the folder containing directories with images (i.e. from the train folder). You need to run:
!rm -R test/train/.ipynb_checkpoints
!ls test/train/ -a #to make sure that the deletion has occurred
where test/train/ is my path to datasets folders
from kivy.uix.image import Image
self.img = Image(source="image") # This works when image is an PNG image
self.img = Image(source="image.jpg") # This works when image.jpg is a JPG image
self.img = Image(source="image") # This doesn't work when image is a JPG image
I need to specify images without extention for the app to be generic (working with more image types). Can I achieve it somehow?
Kivy is using "imghdr" to determine the image type here, and as a fallback it uses the file extension here.
That explains why the image loads fine when it has a file extension, even though "imghdr" can't find the file type in the file's content.
I tested on a list of JPEG files, and each time "imghdr" was able to detect the file type each time. That is done here im imghdr. Notably, "imghdr" does not consider the file extension.
$ python
>>> import os, imghdr
... for f in os.listdir('.'):
... print('%s -- %s' % (f, imghdr.what(f)))
Maybe the JPEG file is missing the "JFIF" or "Exif" string that imghdr is looking for? You could use hexedit to see if one of those string is present at Byte 6 of the image file.
I am using this line of code to call my image in python
(img = cv2.imread("frame12160.jpg")
but I can just call one image once a time how can I call multiple images every time and thanks in advance
You can only read one image at a time using cv2.imread(). If you want to read in multiple images, try using the os package and save the images into a list:
import cv2
import os
my_images = []
os.chdir('/home/stephen/Desktop/images/')
for path in os.listdir(os.getcwd()):
img = cv2.imread(path)
my_images.append(img)
import cv2
cap = cv2.VideoCapture("StopMoti2001.mpeg")
if cap.isOpened():
print 'fine'
else:
print 'not fine'
output is 'not fine' I have checked for various videos and I also moved the ffmpeg file moving to PATH and still the problem remains same. can you please suggest a solution
Solved my problem, Actually I was working in anaconda, so instead of moving ffmpeg to Python27, I should move it to Anaconda dll folder to make it work.
I am trying to run a very simple program. To open and jpg file and display it using the opencv library for python. Initially it all worked fine but now it just opens a window which doesn't show the image but says 'not responding'. I need to go to the task manager and close it!
from numpy import *
import matplotlib as plt
import cv2
img = cv2.imread('amandapeet.jpg')
print img.shape
cv2.imshow('Amanda', img)
You missed one more line:
cv2.waitKey(0)
Then the window shows the image until you press any key on keyboard. Or you can pass as following:
cv2.waitKey(1000)
cv2.destroyAllWindows()
Here, window shows image for 1000 ms, or 1 second. After that, the window would disappear itself. But in some cases, it won't. So you can forcefully destroy it using cv2.destroyAllWindows()
Please read more tutorials first : http://docs.opencv.org/trunk/doc/py_tutorials/py_tutorials.html
None of the answers here worked in MacOS. The following works:
Just add a cv2.waitKey(1) after cv2.destroyAllWindows().
Example:
import cv2
image = cv2.imread('my_image.jpg')
cv2.imshow('HSV image', hsv_image); cv2.waitKey(0); cv2.destroyAllWindows(); cv2.waitKey(1)
The solution that worked for me:
Switch from inline graphics to auto. It worked both in Spyder and in Jupyter notebooks.
To change Spyder setting:
Go to Tools > Preferences > IPhyton console > Graphics > Backend: Automatic
(Change backend from Inline to Automatic)
To change Notebook setting:
Enter command:
%matplotlib auto
Some background for my case (for those who may be quick to judge):
It used to work fine: I could open an image, it would load, and it would be responsive (doesn't say "Not responding", can close, focus, etc.) Then I installed some packages and ran some demo notebooks that apparently messed up some settings (Spyder open files were reset too).
I tried adding waitKey(1) (and 0, 30, 1000, etc values too). It made the image load, at least. But the image frame was "Not Responding": didn't refresh, couldn't close, didn't come to top, etc. Had to close using cv2.destroyAllWindows().
Note that everything worked fine during the duration of waitKey. I put this in a loop that shows the same image in the same named window and waits for a few seconds. During the loop everything works fine. As soon as the loop ends, the image window is "Not responding" (which looks like a GUI thread issue). I tried using cv2.startWindowThread(), and didn't make any difference.
Finally, changing from Inline graphics to Auto brought everything back to order.
I've been working with opencv 3.2 and matplotlib too recently and discovered (through trial and error of commenting out lines) that the import of pyplot from matplotlib has some sort of interference with the cv2.imshow() function. I'm not sure why or how it really works but in case anyone searches for this issue and comes across this old forum, this might help. I'm working to try to find a solution around this interference bu
I did also face the same issue. I am running through command line python prompt in centos 7 with the following code
>> import cv2, numpy as np
>> cap=cv2.VideoCapture(0)
>> img=cap.read()
>> cap.release()
>> cv2.imshow('image',img[1])
>> cv2.waitKey(0)
>> cv2.destroyAllWindows()
>> cv2.waitKey(1)
Even then the problem persisted and didn't solve. So I added
>> cv2.imshow('image',img[1])
Adding this did close the image window.Running the command again would create a new instance. Hope you can try if you still face any issues.
The cv2.imshow() function always takes two more functions to load and close the image. These two functions are cv2.waitKey() and cv2.destroyAllWindows(). Inside the cv2.waitKey() function, you can provide any value to close the image and continue with further lines of code.
# First line will provide resizing ability to the window
cv.namedWindow('Amanda', cv.WINDOW_AUTOSIZE)
# Show the image, note that the name of the output window must be same
cv.imshow('Amanda', img)
# T0 load and hold the image
cv.waitKey(0)
# To close the window after the required kill value was provided
cv.destroyAllWindows()
Hoping that you will get the image in a separate window now.
I've installed opencv-contrib-python library instead of opencv-python and now cv2.imshow() function works as expected.
If you have used python notebooks then there is a problem in using cv2.waitKey(0) and cv2.destroyallwindows() in Unix based system to run a program of opencv.
I have an alternative method which would prevent from freezing your image
Steps: -Copy the code from python notebooks and create new filename.py and paste it
- Open terminal
- cd path/to/file
- source activate VirtualEnvironment
- python filename.py
This will run code directly from terminal. Hope this helps you. Example Link: https://youtu.be/8O-FW4Wm10s
I was having this same error until I added the below lines of code. For the waitKey, you can input figures above 0(i.e 1, 100 and above). It serves as the delay time for the window and it is in milliseconds.
----> cv2 waitKey(0)
----> cv2 destroyAllWindows()
I found that i had a breakpoint on the
cv2.waitkey()
funtion. removing that fixed the issue for me
As I tried all solutions mentioned above, it works for displaying an image but in my case, I want to display the video not just the single image in the window, So to solve the problem added
k=cv2.waitkey(10)
if k == 27:
break
after cv2.imshow('title',img)