google-colaboratory

I want to run selenium in Google Colab through gecko driver, but it told me: executable needs to be in PATH I uploaded firefox and gecko driver in Google Colab and copied gecko driver's path. The code worked well on my PC. firefox and gecko driver in google clob, but an error occurred. from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait as wait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.keys import Keys import time from selenium.webdriver.support import ui from selenium.webdriver.common.by import By from

I want to mount google drive on google Colab and I am using this command to mount the drive from google.colab import drive drive.mount('/content/drive/') but I am getting this error ValueError Traceback (most recent call last) <ipython-input-45-9667a744255b> in <module>() 1 from google.colab import drive ----> 2 drive.mount('content/drive/') /usr/local/lib/python3.6/dist-packages/google/colab/drive.py in mount(mountpoint, force_remount) 99 raise ValueError('Mountpoint must either be a directory or not exist') 100 if '/' in mountpoint and not _os.path.exists(_os.path.dirname(mountpoint)): -->

When I open a new notebook on Goole Colab I see a "POWER LEVEL" indicator with a battery symbol at the top. I can click it and choose three different power levels: low, medium and high. I don't remember ever seeing this before on Google Colab. I believe this is a new undocumented feature. Does anybody know what is the effect of changing power levels? Power level is an April fools joke feature that adds sparks and combos to cell editing -- https://twitter.com/GoogleColab/status/1112708634905964545 来源： https://stackoverflow.com/questions/55458800/meaning-of-power-level-on-google-colab

I am working on image segmentation machine learning project and I would like to test it out on Google Colab. For the training dataset, I have 700 images, mostly 256x256 , that I need to upload into a python numpy array for my project. I also have thousands of corresponding mask files to upload. They currently exist in a variety of subfolders on Google drive, but have been unable to upload to Google Colab for use in my project. So far I have attempted using Google Fuse which seems to have very slow upload speeds and PyDrive which has given me a variety of authentication errors. I have been

I trained my CNN (VGG) through google colab and generated .h5 file. Now problem is, I can predict my output successfully through google colab but when i download that .h5 trained model file and try to predict output on my laptop, I am getting error when loading the model. Here is the code: import tensorflow as tf from tensorflow import keras import h5py # Initialization loaded_model = keras.models.load_model('./train_personCount_model.h5') And the error: ValueError: Unknown initializer: GlorotUniform I ran into the same issue. After changing: from tensorflow import keras to: import keras life