- READ IMAGE PLUS ISSUE 8 DRIVER
- READ IMAGE PLUS ISSUE 8 FULL
- READ IMAGE PLUS ISSUE 8 CODE
- READ IMAGE PLUS ISSUE 8 PC
So VERY hard to debug.Įdited by lmclouth, 03 April 2021 - 11:57 AM. The mount moves to the new location, takes a picture, then fails the plate solve because of "Can't read image".Īnd as you say, it doesn't happen all the time.
I started using a Frame/Focusing plan to do almost the same thing as Live View.īut back to the original problem of "Can't read image", it happens at all sections of the program. I have to close APT and start all over - very annoying! Then when I move the pointer to click "Live View" to close it the program goes gray and never comes back. I usually will double-click to see the image 1:1 to help with focusing.
READ IMAGE PLUS ISSUE 8 DRIVER
I have the latest ZWO driver and latest beta APT.Īnother problem I've had with APT and the ASI2600MC Pro is the Live View (video radio button checked.) It usually will start but more times than not when you go to leave it will crash APT. Image = cv2.cvtColor(image,cv2.I've been experiencing the same thing with the "Can't read image" errors. "- view the image-" import matplotlib.pyplot as plt Line 8 will help you to read the color image data and store it in image variable
READ IMAGE PLUS ISSUE 8 FULL
Line 6 will help you to generate full path of image data with the folder Line 5 will help you to see the image file names Line 4, in my case I only wanted to read the image file so I chose to open only Items will have a list of all the filenames of the uploaded file.įor loop in line 3 helps you to iterate through the list of uploaded files. Os.getcwd() - will give you the folder path where your files were uploaded. !ls - will give you the uploaded files names
READ IMAGE PLUS ISSUE 8 CODE
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. Print('User uploaded file " bytes'.format( "- Upload image to colab -code-" from lab import files The simplest way to upload, read and view an image file on google Colab. ' %', '\n - # of epochs: ', epochs, '\n - batch size: ', batch_size) '\n - test ratio:', round(nb_test_samples/total_nb_samples*100, 2),
'\n - validation ratio:', round(nb_validation_samples/total_nb_samples*100, 2), '\n - total # of samples: ', total_nb_samples, '\n - train ratio:', round(nb_train_samples/total_nb_samples*100, 2), '\n - # of test samples: ', nb_test_samples, Print(' - # of trained samples: ', nb_train_samples, '\n - # of validation samples: ', nb_validation_samples, Print('\n - names of classes: ', target_names, '\n - # of classes: ', nb_classes) Print('Training a CNN Multi-Classifier Model. Nb_classes = len(target_names) # number of output classes Total_nb_samples = nb_train_samples + nb_validation_samples + nb_test_samples Now the (dataDir.zip) is uploaded to your google drive!Ĥ- Let us unzip the folder(dataDir.zip) to a folder called (data) by writing this simple code: import zipfileĭata = zipfile.ZipFile(io.BytesIO(uploaded), 'r')ĥ- Now everything is ready, let us check that by printing content of (data) folder: data.printdir()Ħ- Then to read the images, count them, split them and play around them, please write the following code: train_data_dir = 'data/training'
READ IMAGE PLUS ISSUE 8 PC
I'll suppose that your images(files) are split into 3 subdirectories (train, validate, test) in the main directory called (dataDir):ġ- Zip the folder (dataDir) to (dataDir.zip)Ģ- Write this code in a Colab cell: from lab import filesģ- Press on 'Choose Files' and upload (dataDir.zip) from your PC to the Colab If you would like to upload images (or files) in multiples subdirectories by using Colab google, please follow the following steps: Colab google: uploading images in multiple subdirectories:
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