kandi X-RAY | krsh Summary
kandi X-RAY | krsh Summary
:lollipop: KRSH is Alpha version, so many bugs can be reported. If you find a bug, please write an Issue and grow the project together!. A declarative Kubeflow Management Tool inspired by Terraform. KRSH (pronounce, krush) is a tool that allows you to declaratively manage Kubeflow's pipelines. By managing Kubeflow Pipeline through KRSH, developers can reduce the cost of managing Pipeline Versions and deploy pipelines much faster than ever before. KRSH was greatly inspired by Terraform's behavior through Write, Plan, and Apply Cycle and its declarative management of resources. Also, since KRSH provides the KRSH Project Boilerplate through the krsh create command, the developer who develops the pipeline no longer needs to worry about which project structure to choose to manage the Kubeflow Pipeline.
Top functions reviewed by kandi - BETA
- Check planned pipelines
- Calculate planned pipelines
- Calculate the planned plan between two Pipelines
- Parse local Pipelines
- Apply commands to the root
- Applies a multiprocessing pipeline
- Apply pipeline
- Convert planned pipelines to a list
- Configure the command line interface
- Configure project configuration
- Prompts the user for an icon
- Create a new project
- Create project directory
- Create a project directory
- Create a new component
- Create a component
- Echo an OK message
- Create a new pipeline
- Create a pipeline
- Echo the change diff
- Echo an icon
- Generate a unique identifier for the pipeline
- Compile the given pipeline
- Echo a text message
- Echo the given name and namespace
- Show the destroy diff message
krsh Key Features
krsh Examples and Code Snippets
Trending Discussions on Data Preparation
I am trying to prepare the masks for image segmentation with Pytorch. I have three questions about data preparation.
What is the appropriate data format to save the binary mask in general? PNG? JPEG?
Is the mask size needed to be set square such as (224x224), not a rectangle such as (224x448)?
Is the mask value fixed when the size is converted from rectangle to square?
For example, the original mask image size is (600x900), which is binary [0,1]. However, when I applied...
ANSWERAnswered 2022-Mar-30 at 08:33
- PNG, because it is lossless by design.
- It depends. More convenient is to use standard resolution, (224x224), I would start with that.
- Use resize without interpolation
transforms.Resize((300, 300), interpolation=InterpolationMode.NEAREST)
Please i need you help concerning my yolov5 training process for object detection!
I try to train my object detection model yolov5 for detecting small object ( scratch). For labelling my images i used roboflow, where i applied some data augmentation and some pre-processing that roboflow offers as a services. when i finish the pre-processing step and the data augmentation roboflow gives the choice for different output format, in my case it is yolov5 pytorch, and roboflow does everything for me splitting the data into training validation and test. Hence, Everything was set up as it should be for my data preparation and i got at the end the folder with data.yaml and the images with its labels, in data.yaml i put the path of my training and validation sets as i saw in the GitHub tutorial for yolov5. I followed the steps very carefully tought.
The problem is when the training start i get nan in the obj and box column as you can see in the picture bellow, that i don't know the reason why, can someone relate to that or give me any clue to find the solution please, it's my first project in computer vision.
The training continue without any problem but the map and precision remains 0 all the process !!
Ps : Here is the link of tuto i followed : https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data...
ANSWERAnswered 2021-Dec-04 at 09:38
Running my code in colab worked successfully and the resulats were good. I think that the problem was in my personnel laptop environment maybe the version of pytorch i was using '1.10.0+cu113', or something else ! If you have any advices to set up my environnement for yolov5 properly i would be happy to take from you guys. many Thanks again to @alexheat
I have written my code to create a scatter plot with a color bar on the right. But the color bar does not look right, in the sense that the color is too light to be mapped to the actual color used in the plot. I am not sure what is missing or wrong here. But I am hoping to get something similar to what's shown here: https://medium.com/@juliansteam/what-bert-topic-modelling-reveal-about-the-2021-unrest-in-south-africa-d0d15629a9b4 (about in the middle of the page)...
ANSWERAnswered 2022-Mar-24 at 22:20
The colorbar uses the given
alpha=.3. In the scatterplot, many dots with the same color are superimposed, causing them to look brighter than a single dot.
One way to tackle this, is to create a
ScalarMappable object to be used by the colorbar, taking the colormap and the norm of the scatter plot (but not its alpha). Note that simply changing the alpha of the scatter object (
scatter.set_alpha(1)) would also change the plot itself.
When importing a .csv file, is there any way to read the data from the title of the header? Consider the .csv file in the following:
I mean, instead of
start_node = round.(Int64, data[:,1]) is there another way to say "start_node" is the one in the .csv file that its header is
"start node i"
ANSWERAnswered 2022-Mar-09 at 19:08
The most natural way is to use
CSV along with the
I'm trying to implement a simple GAN in Pytorch. The following training code works:...
ANSWERAnswered 2022-Feb-16 at 13:43
Supplying inputs in either the same batch, or separate batches, can make a difference if the model includes dependencies between different elements of the batch. By far the most common source in current deep learning models is batch normalization. As you mentioned, the discriminator does include batchnorm, so this is likely the reason for different behaviors. Here is an example. Using single numbers and a batch size of 4:
I am looking for a similar functionality like Fillo Excel API where we can do CRUD operations in an excel file using query like statements.
A select statement in a csv file is a great addition to the framework to provide more flexibility in test data driven approach testing.
Sample scenario: A test case that needs to have multiple data preparation of inserting records to database.
Instead of putting all test data in 1 row or 1 cell like this and do a string split before processing....
ANSWERAnswered 2022-Feb-02 at 03:20
There's no need. Karate can transform a CSV file into a JSON array in one line:
I have a python script that handles data transactions through sqlalchemy using:...
ANSWERAnswered 2022-Jan-31 at 06:48
This is an interesting situation. It seems that maybe you can sidestep some of the manual process/thread handling and utilize something like multiprocessing's Pool. I made an example based on some other data initializing code I had. This delegates creating test data and inserting it for each of 10 "devices" to a pool of 3 processes. One caveat that seems necessary is to dispose of the engine before it is shared across
fork(), ie. before the Pool tasks are created, this is mentioned here: engine-disposal
I am trying to use GridSearchCV to select the best imputer strategy but I am having trouble doing that.
First, I have a data preparation pipeline for numerical and categorical columns-...
ANSWERAnswered 2022-Jan-27 at 05:26
The way you specify the parameter is via a dictionary that maps the name of the estimator/transformer and name of the parameter you want to change to the parameters you want to try. If you have a pipeline or a pipeline of pipelines, the name is the names of all its parents combined with a double underscore. So for your case, it looks like
I'm training a model within a
for loop, because...I can.
I know there are alternative like
tf.Dataset API with
generators to stream data from disk, but my question is on the specific case of a loop.
Does TF re-initialize weights of the model at the beginning of each loop ? Or does the initialization only occurs the first time the model is instantiated ?
ANSWERAnswered 2022-Jan-20 at 15:06
I have 2 tests. I want to run the only one:...
ANSWERAnswered 2022-Jan-20 at 14:32
It looks like that only something like that can resolved the issue.
No vulnerabilities reported
You can use krsh like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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