Ajinkya Bobade

Run app on external URL

1

@MarcSkovMadsen I am following your docker image: ``` sudo docker run -it -p 80:80 --entrypoint "streamlit" marcskovmadsen/awesome-streamlit:latest run app.py ``` when I run I get this output: ``` You can...

Inferenceservice not responding to curl requests

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/kind bug **What steps did you take and what happened:** I am following tutorial https://kserve.github.io/website/0.7/get_started/first_isvc/ and deploying first inferece service on KServe. I am stuck in last step where the...

@surya-veer I am going through tutorial for handwritten text recognition. And to do hand written digit recognition you have constructed a Keras model as follows: ``` # # Creating CNN...

kubeflow-kale-labextension returned a non-zero code: 1

1

Hello, I get error: ``` ---> Running in 7bd98aa3cbfb Building jupyterlab assets (build:prod:minimize) An error occured. RuntimeError: JupyterLab failed to build See the log file for details: /tmp/jupyterlab-debug-4609i_nv.log The command...

Conversion of OpenVaccine, Bulldozers, Titanic and Facial keypoint detection from kaggle to kfp

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Here we convert the https://www.kaggle.com/competitions/facial-keypoints-detection code to kfp-pipeline using vanilla Kubeflow pipelines and kale The objective of this task is to predict keypoint positions on face images. In addition to...

Unable to convert to tensorflow serving

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Hi I am following steps mentioned in https://github.com/fizyr/keras-maskrcnn. The model that I use is resnet50_coco_v0.2.0.h5 from (https://github.com/fizyr/keras-maskrcnn/releases). when I run ``` python3 main.py ``` The error I get is: ```...

I tried to deploy this model on google ai platform, I get this error: ``` WARNING: Using endpoint [https://ml.googleapis.com/] Creating version (this might take a few minutes)......failed. ERROR: (gcloud.ai-platform.versions.create) Create...

I have crowd images gathered by a security camera. I have all jpg files. How do I run your code on only jpg files. From what I have seen your...

@priya-dwivedi When I train the model by using default config file, and convert it to tensorflow serving using this script: ``` from keras import backend as K import tensorflow as...

How to visualize the test result ?

4

I have downloaded your pre-trained model and im running test.py : ```python3 test.py --data-dir processed_data --save-dir logs``` In output I get ``` ('img_0001',) -317.4151611328125 975 1292.4151611328125 ('img_0002',) 234.6561279296875 923 688.3438720703125...