问题
My Jupyter Notebook has the following code to upload an image to Colab:
from google.colab import files
uploaded = files.upload()
I get prompted for the file. Which gets uploaded.
I verify that the file upload was successful using:
!ls
and I see that it's there.
I check the current working directory using:
import os
os.getcwd()
and it tells me that it is /content
now, any of the following calls...
cv2.imread(img_path, 1)
cv2.imread(img_path, 0)
cv2.imread(img_path)
fails to load the file.
they also fail whether i'm using just the file name or the full path.
Any thoughts on what is going on?
回答1:
Use this function to upload files. It will SAVE them as well.
def upload_files():
from google.colab import files
uploaded = files.upload()
for k, v in uploaded.items():
open(k, 'wb').write(v)
return list(uploaded.keys())
Update
Now (sep 2018), the left pane has a "Files" tab that let you browse files and upload files easily. You can also download by just double click the file names.
回答2:
Colab google: uploading images in multiple subdirectories: If you would like to upload images (or files) in multiples subdirectories by using Colab google, please follow the following steps: - I'll suppose that your images(files) are split into 3 subdirectories (train, validate, test) in the main directory called (dataDir): 1- Zip the folder (dataDir) to (dataDir.zip) 2- Write this code in a Colab cell:
from google.colab import files
uploaded = files.upload()
3- Press on 'Choose Files' and upload (dataDir.zip) from your PC to the Colab Now the (dataDir.zip) is uploaded to your google drive! 4- Let us unzip the folder(dataDir.zip) to a folder called (data) by writing this simple code:
import zipfile
import io
data = zipfile.ZipFile(io.BytesIO(uploaded['dataDir.zip']), 'r')
data.extractall()
5- Now everything is ready, let us check that by printing content of (data) folder:
data.printdir()
6- Then to read the images, count them, split them and play around them, please write the following code:
train_data_dir = 'data/training'
validation_data_dir = 'data/validation'
test_data_dir = 'data/test'
target_names = [item for item in os.listdir(train_data_dir) if os.path.isdir(os.path.join(train_data_dir, item))]
nb_train_samples = sum([len(files) for _, _, files in os.walk(train_data_dir)])
nb_validation_samples = sum([len(files) for _, _, files in os.walk(validation_data_dir)])
nb_test_samples = sum([len(files) for _, _, files in os.walk(test_data_dir)])
total_nb_samples = nb_train_samples + nb_validation_samples + nb_test_samples
nb_classes = len(target_names) # number of output classes
print('Training a CNN Multi-Classifier Model ......')
print('\n - names of classes: ', target_names, '\n - # of classes: ', nb_classes)
print(' - # of trained samples: ', nb_train_samples, '\n - # of validation samples: ', nb_validation_samples,
'\n - # of test samples: ', nb_test_samples,
'\n - total # of samples: ', total_nb_samples, '\n - train ratio:', round(nb_train_samples/total_nb_samples*100, 2),
'\n - validation ratio:', round(nb_validation_samples/total_nb_samples*100, 2),
'\n - test ratio:', round(nb_test_samples/total_nb_samples*100, 2),
' %', '\n - # of epochs: ', epochs, '\n - batch size: ', batch_size)
7- That is it! Enjoy!
回答3:
You can an image on colab directly from internet using the command
!wget "copy paste the image address here"
check with!ls
Display the image using the code below:
import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread("Sample-image.jpg")
img_cvt=cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
plt.imshow(img_cvt)
plt.show()
回答4:
The simplest way to upload, read and view an image file on google Colab.
"---------------------Upload image to colab -code---------------------------"
from google.colab import files
uploaded = files.upload()
for fn in uploaded.keys():
print('User uploaded file "{name}" with length {length} bytes'.format(
name=fn, length=len(uploaded[fn])))
Code explanation
Once you run this code in colab, a small gui with two buttons "Chose file" and "cancel upload" would appear, using these buttons you can choose any local file and upload it.
"---------------------Check if image was uploaded---------------------------"
Run this command:
import os
!ls
os.getcwd()
!ls - will give you the uploaded files names
os.getcwd() - will give you the folder path where your files were uploaded.
"---------------------------get image data from uploaded file--------------"
Run the code:
0 import cv2
1 items = os.listdir('/content')
2 print (items)
3 for each_image in items:
4 if each_image.endswith(".jpg"):
5 print (each_image)
6 full_path = "/content/" + each_image
7 print (full_path)
8 image = cv2.imread(full_path)
9 print (image)
Code explanation
line 1:
items = os.listdir('/content')
print(items)
items will have a list of all the filenames of the uploaded file.
line 3 to 9:
for loop in line 3 helps you to iterate through the list of uploaded files.
line 4, in my case I only wanted to read the image file so I chose to open only
those files which end with ".jpg"
line 5 will help you to see the image file names
line 6 will help you to generate full path of image data with the folder
line 7 you can print the full path
line 8 will help you to read the color image data and store it in image variable
line 9 you can print the image data
"--------------------------view the image-------------------------"
import matplotlib.pyplot as plt
import os
import cv2
items = os.listdir('/content')
print (items)
for each_image in items:
if each_image.endswith(".jpg"):
print (each_image)
full_path = "/content/" + each_image
print (full_path)
image = cv2.imread(full_path)
image = cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
plt.figure()
plt.imshow(image)
plt.colorbar()
plt.grid(False)
happy coding and it simple as that.
回答5:
Hack to upload image file in colab!
https://colab.research.google.com/
Following code loads image (file(s)) from local drive to colab.
from google.colab import files
from io import BytesIO
from PIL import Image
uploaded = files.upload()
im = Image.open(BytesIO(uploaded['Image_file_name.jpg']))
View the image in google colab notebook using following command:
import matplotlib.pyplot as plt
plt.imshow(im)
plt.show()
回答6:
Am assuming you might not have written the file from memory?
try the below code after the upload:
with open("wash care labels", 'w') as f:
f.write(uploaded[uploaded.keys()[0]])
replace "wash care labels.xx" with your file name. This writes the file from memory. then try calling the file.
Hope this works for you.
来源：https://stackoverflow.com/questions/49186905/loading-images-in-google-colab