I am trying to modify this google colab so that you can do batch processing, save all the resynthesized audio into a zip, and save it to your google drive. https://colab.research.google.com/github/magenta/ddsp/blob/main/ddsp/colab/demos/timbre_transfer.ipynb I’m thinking to do this that someone can say how many files they’re uploading, and then at the end of the scripts it will ..
i put a data (csv+jpg file) in google drive and load in to list in colab. but it take a very long time to get all of image and csv how to make it faster ? (last time it take about 2 hour to get 40k image to np.array) img Source: Python..
I am building a U-net for image segmentation, the images are grayscale (x-ray), the masks are binary(black and white). when I run the following code I receive the below error. seed = 42 np.random.seed = seed IMG_WIDTH = 256 IMG_HEIGHT = 256 IMG_CHANNELS = 1 TRAIN_PATH = ‘/content/stage1_train/stage1_train/’ TEST_PATH = ‘/content/stage1_test/stage1_test/’ train_ids = next(os.walk(TRAIN_PATH)) test_ids ..
When using Google Colab with the installed Pandas version (1.1.5), I am obtaining a very strange error when trying to aggregate grouped data. Let’s say that I load a dataframe with nycflights columns, I group by carrier, and then I calculate the mean: import pandas as pd flights = pd.read_csv(‘nycflights.csv’) flights.groupby(‘carrier’).mean() This is working perfectly ..
In my env(colab) I need the following library. Here is the list : !pip install –quiet transformers==4.1.1 !pip install –quiet pytorch-lightning==1.1.3 #!pip install pytorch-lightning !pip install –quiet tokenizers==0.9.4 !pip install –quiet sentencepiece==0.1.94 !pip install torchtext==0.8.0 torch==1.7.1 pytorch-lightning==1.1.3 After I am importing FARMReader and TransformersReader from haystack library. Here is the code !pip install grpcio-tools==1.34.1 !pip ..
I am new to Python and trying to plot multiple boxplots from a dataframe. My dataframe is: Date A B C D E 01-Jan 1 3 6 6 1 01-Feb 2 4 7 4 2 01-Mar 3 5 8 2 9 I want to create 5 boxplots with where each boxplot represents an individual letter. ..
I am looking to read in all available data from the decentraland website. The website provides the below information. It then provides examples on potential queries I am struggling to figure out how I can read this into a jupyter notebook and process it myself, as it doesn’t seem as straight forward as a normal ..
How am I supposed to view/download/remove the data in google colaboratory notebooks? I often get the warning disk has reached a limit. Source: Python..
I’m trying to get this code sample from python-chess SVG rendering working. import chess import chess.svg chess.svg.piece(chess.Piece.from_symbol("R")) When I run the code, I get the following HTML output, but not the image of a white rook. <svg version=”1.1″ viewBox=”0 0 45 45″ xmlns=”http://www.w3.org/2000/svg” xmlns:xlink=”http://www.w3.org/1999/xlink”><g class=”white rook” fill=”#fff” fill-rule=”evenodd” id=”white-rook” stroke=”#000″ stroke-linecap=”round” stroke-linejoin=”round” stroke-width=”1.5″><path d=”M9 39h27v-3H9v3zM12 ..
I’m self-learning Python and I’m doing a program using Python and Pytube for retrieve information for a YouTube video. The information of the YouTube video to get is: Title Author Description I want to set this information in the following structure: Simplified example – info extracted from YouTube video_id: kqtD5dpn9C8 ┌──────────────────────────────────────────────────────────────┐ | | | 📕 ..