QuickDraw | simple implementation of Google 's Quick , Draw Project | Machine Learning library
kandi X-RAY | QuickDraw Summary
kandi X-RAY | QuickDraw Summary
Quick, Draw! is an online game developed by Google that challenges players to draw a picture of an object or idea and then uses a neural network artificial intelligence to guess what the drawings represent. The AI learns from each drawing, increasing its ability to guess correctly in the future.The game is similar to Pictionary in that the player only has a limited time to draw (20 seconds).The concepts that it guesses can be simple, like 'foot', or more complicated, like 'animal migration'. This game is one of many simple games created by Google that are AI based as part of a project known as 'A.I. Experiments'. Quick, Draw.
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Top functions reviewed by kandi - BETA
- Overlay emoji
- Blend a face image using a transparent mask
- Predict using Keras model
- Process keras image
- Create Keras model
- Load data
- Load features and labels from pickle file
- Return a list of QD emojis
- Prepress labels
QuickDraw Key Features
QuickDraw Examples and Code Snippets
Community Discussions
Trending Discussions on QuickDraw
QUESTION
I'm new to Python, and I am trying to access Google's QuickDraw Database and arrange an amount of images (vector lines) as per the user's input of columns and rows, then export in .svg file format. So far, I have only managed to save each image as .gif and display it. How can I arrange them in a say 3x3 grid and in .svg format?
Here is the code I've got so far:
...ANSWER
Answered 2021-Dec-17 at 01:37You will need a python library that can output SVG files.
Unfortunately I don't have the time to provided a detailed answer with a code snippet that just runs but hopefully I can provide some directions.
There are mulitple python modules to write SVG files: svgwrite is one of them (docs, examples).
Based on the example snippet:
QUESTION
I want to send the data as well as image to my database with Alamofire, by appending the data to the request body. Now I've successfully inserted all the data, but not the image (the image is not inserted to the database). The image comes from .photoLibrary or .camera and then convert it as bitmap string data before send the image to the server. How to insert converted bitmap image to the database with alamofire?
Here is my ContentView
...ANSWER
Answered 2021-Apr-30 at 17:16If you're expecting an empty response on success, either the server needs to return the appropriate 204 / 205 response, or you need to tell your response handler to allow whatever code you do return with an empty body. For instance, if you received a 200:
QUESTION
I would like to convert a basic SVG file containing polylines into the stroke-3 format used by sketch-rnn (and the quickdraw dataset).
To my understanding, each polyline point in stroke-3 format would be:
- stored as
[delta_x, delta_y, pen_up], where delta_x,delta_yrepresent the coordinates relative to the previous point andpen_upis a bit that is 1 when the pen is up (e.g.move_tooperation a-la turtle graphics) or 0 when the pen is down (e.g.line_tooperation a-la turtle graphics).
I've attempted to write the function and convert an SVG, but I when I render a test of the stroke-3 format I get an extra line.
My input SVG looks like this:
...ANSWER
Answered 2021-Feb-06 at 16:20Your conversion is correct, the bug is in the rendering code. It must be is_down = data[i][2] == 0 instead of is_down = data[i-1][2] == 0 in draw_stroke3.
This error didn't show up with the other paths as in all but two cases the new path starts at the end of the previous path. In the other case where you really move to a new start point the additional line coincided with a line already drawn.
UPDATE AND CORRECTION:
I noticed that I mis-interpreted the meaning of the pen-up bit: in fact it shows that the pen is to be lifted after drawing the current stroke, not for the current stroke as I though at first. Therefore your rendering code appears to be OK and the bug is in the stroke3 file generation.
I guess you can do it much simpler by recording the end points for each operation along with the op code (1 = move, 0 = draw) for the current operation. After conversion to a numpy array we can easily convert these absolute positions the relative displacements by do the difference of the first two columns and then shift the third column with the op codes backwards by one position:
QUESTION
I want to create an standalone app which can be used globally on other Macs other than mine.
I followed the tutorial from this page: https://www.metachris.com/2015/11/create-standalone-mac-os-x-applications-with-python-and-py2app/
However after the Building for Deployment step is finished and i want to run the app in the dist folder by double clicking it, i get this error message:
...ANSWER
Answered 2020-May-27 at 16:29Looks like you're having an interpreter version mismatch.
Remove your environment, then in your project folder try:
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Install QuickDraw
First, run LoadData.py which will load the data from the /data folder and store the features and labels in pickel files.
Now you need to have the data, run QD_trainer.py which will load data from pickle and augment it. After this, the training process begins.
Now you need to have the data, run QuickDrawApp.py which will use use the webcam to get what you have drawn.
For altering the model, check QD_trainer.py.
For tensorboard visualization, go to the specific log directory and run this command tensorboard --logdir=. You can go to localhost:6006 for visualizing your loss function and accuracy.
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