google-colaboratory

问题 I have cloned a github repository into google-colab [https://github.com/limbo018/DREAMPlace] and installed the necessary requirements. When I run the main script (!python dreamplace/placer.py) from either the base repo directory or the cmake install directory in jupyter I receive a modulenotfound error. I am able to import the module from a jupyter cell. The placer.py script imports it's parent module (dreamplace), which I have added to the path. I have a feeling colab/jupyter spawns a

问题 In google-colab: I have a python code which uses a class from another file. The class has a method which has the following code: def callbacks(): plt.style.use("ggplot") plt.figure() plt.plot(N, self.H["loss"], label="train_loss") #code continues plt.legend() #save the fig plt.savefig(self.figPath) plt.close() This method( part of "callbacks") is invoked every time in each epoch when I run the code of the main file.: model.fit(trainX, trainY, validation_data=(testX, testY), batch_size=64,

问题 I'm using Google Colab to do some machine learning project. I've mounted my drive, activated the GPU, purchased extra storage space from google drive, and have over 100Gb of free space on google drive, but the "drive" monitor in my Colab notebook says that the drive is filling up. Screen shots of my Colab notbook and Google Drive storage below. Why does the notebook show that the drive is filling up? I've refreshed my google drive several times to make sure that the storage space that's

问题 The only results for this question that I see is to use Python to either mount the drive or load through git/gist, etc. This is how I'm currently loading the R kernel (How to use R with Google Colaboratory?): load the Demo.ipynb and it somehow retains the R kernel for me when I save a copy. 回答1: I'm dumb and figured out a workaround In case anyone else has this problem: 1 Click on the arrow to expand the window, Files -> Upload It should give you a warning that the files will get deleted

问题 I'm trying to unzip a directory of 75,000 images for training a CNN. When unzipping using, !unzip -uq "/content/BDD_gt_8045.zip" -d "/content/drive/My Drive/Ground_Truth" not all images unzip. I have about 5,000 I believe. I tried doing it several times but then I have some duplicates. Is there a limit to the number of images I can unzip? I'm currently stuck on how else I'm meant to get all files into my drive to train the model. 回答1: Colab's default 'unzip' binary doesn't work as expected.

问题 Jupyter notebooks are awesome, and Colab provides a great way of sharing these to other developers. However, now I have a functionality in a Jupyter notebook that I would like to share with end users rather than developers. Backend there are various Python imports, 3D projections and solution of a non-linear optimization problem etc and I need to abstract that away from an end user. Due to its non-trivial functionality I would rather not have to port it to another language or at least not

问题 I'm trying to run shaders version of Manim in Colab. This version has to show rendered video in a live interactive window, as opposed to just writing mp4. I installed and imported everything without errors: from manimlib.imports import * but get an exception when run: !python3 -m manim example_scenes.py OpeningManimExample Media will be written to ./media/. You can change this behavior with the --media_dir flag. Traceback (most recent call last): File "/usr/lib/python3.6/runpy.py", line 193,

问题 I'm trying to run shaders version of Manim in Colab. This version has to show rendered video in a live interactive window, as opposed to just writing mp4. I installed and imported everything without errors: from manimlib.imports import * but get an exception when run: !python3 -m manim example_scenes.py OpeningManimExample Media will be written to ./media/. You can change this behavior with the --media_dir flag. Traceback (most recent call last): File "/usr/lib/python3.6/runpy.py", line 193,

问题 Google Colab has Python 3.6 installed while 3.7 is the current version. How would I go about upgrading Python to the latest version on Google Colab? 回答1: The FAQ says: Colaboratory supports Python 2.7 and Python 3.6. We're aware that users are interested in support for other Jupyter kernels (eg R or Scala). We would like to support these, but don't yet have any ETA. So I don't think its possible as of now. 来源： https://stackoverflow.com/questions/53812508/use-latest-python-version-on-google

问题 I am building a transfer learning model on the MobileNetv2 pretrained model on Google Collab. Till yesterday, everything was fine. But, today, on executing #Create the base model(feature_extractor) from the pre-trained model MobileNet V2 _URL = "https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/2" feature_extractor = hub.KerasLayer(_URL, input_shape=(_TARGET_SIZE, _TARGET_SIZE,3)) I get the error: ---------------------------------------------------------------------------