lip | An embeddable LISP in C99 | Interpreter library
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An embeddable LISP in C99
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lip Examples and Code Snippets
package com.in28minutes.concurrency;
public class Counter {
private int i = 0;
public void increment() {
i++;
}
public int getI() {
return i;
}
}
package com.in28minutes.concurrency;
public class ConcurrencyRunner {
pu
Community Discussions
Trending Discussions on lip
QUESTION
I have issues fine-tuning the pretrained model deeplabv3_mnv2_pascal_train_aug in Google Colab.
When I do the visualization with vis.py, the results appear to be displaced to the left/upper side of the image if it has a bigger height/width, namely, the image is not square.
The dataset used for the fine-tune is Look Into Person. The steps done to do so are:
- Create dataset in deeplab/datasets/data_generator.py
ANSWER
Answered 2021-Jun-15 at 09:13After some time, I did find a solution for this problem. An important thing to know is that, by default, train_crop_size and vis_crop_size are 513x513.
The issue was due to vis_crop_size being smaller than the input images, so vis_crop_size is needed to be greater than the max dimension of the biggest image.
In case you want to use export_model.py, you must use the same logic than vis.py, so your masks are not cropped to 513 by default.
QUESTION
I'm trying to return a single row based on this where statement
...ANSWER
Answered 2021-Jun-10 at 18:47The first condition implies the second, so you can simplify it like this:
QUESTION
I am running a script that extracts data into dictionaries, it creates new parameters with the old ones and then it has to append the new parameters to a list.
The loop goes well, every time I print parameters, it updates the values correctly and creates a new value, new url, everything fine.
The issue comes when I append parameters to the image_data_list. It does not add the new dictionary to the list, but it transform every value in the list into the new one, so I get lists of 200 equal dictionaries when I need a list of different dictionaries that I get in every iteration.
...ANSWER
Answered 2021-Jun-09 at 08:56u could try this,see if it's work
QUESTION
I am new to React and new to Web API. I am uploading data in a tabulator in react front end from the value that I am passing through the web API. I am passing value through the getReports function like this:
...ANSWER
Answered 2021-May-28 at 16:21try this
QUESTION
I am trying to show this gif asset in my alert dialog, but get an error:
...ANSWER
Answered 2021-May-26 at 09:45you are using the right method to display a GIF.
Your problem is probably that the path for the file you trying to display isn't right.
Did you add this file in your pubspec.yaml
file?
Here's the official documentation on how to add an asset to your Flutter project
QUESTION
I have a simple JSON that has a key and a value, both have different values. I want to show each key and value on a view, am not sure how to go about it. This is my json
...ANSWER
Answered 2021-May-07 at 08:22If possible, provide an example on stackblitz in order to be easier to reproduce it. Please try something like:
QUESTION
I am using below Json to plot the stacked graph with line (look like below screenshot)
...ANSWER
Answered 2021-Apr-28 at 15:12Based on your data, you need to build a series structure required by Highcharts. Example:
QUESTION
I got the following realization of the Partition function P
in Prolog, took it from rosetta here:
ANSWER
Answered 2021-Apr-13 at 21:00Bignums is no problem in Picat. Here's my Picat version (inspired by the Maple approach):
QUESTION
Trying to randomly generate and save village scenarios in a list for a game project with the following code but I keep getting "'Village.StandardVillage()': not all code paths return a value" error. I've tried fixing it a couple of different ways but end up with other errors. So far this is what I have:
...ANSWER
Answered 2021-Apr-11 at 03:36You need to return village. Because function return type is Village
.
QUESTION
I am training a CNN for image classification. Specifically, I am trying to create a lip reader that is able to classify an image of a segmented mouth with its associated phoneme. The images have a dimension of 64x64 and are flattened into a 1D array of length 4096. I have inserted the code for my current model below with its performance graphs and metrics. Does anyone have any advice for how I can continue to modify this model in order to raise the accuracy?
...ANSWER
Answered 2021-Mar-25 at 09:17You can easily convert it into 2D Convolution:
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