- Release date: September 22nd 2022
- System: 32-bit
- Kernel version: 5.15
- Debian version: 11 (bullseye)
- Size: 338MB
Linux pi 5.15.61-v7+ #1579 SMP Fri Aug 26 11:10:59 BST 2022 armv7l
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since this is nowhere to be found... | |
============================= | |
== Triton Inference Server == | |
============================= | |
NVIDIA Release 23.02 (build 53616260) | |
Triton Server Version 2.31.0 |
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{ | |
"type": 9, | |
"peerID": "EiDRDl8/gd6FYgoIwxUSC4cGtYfvCE6qycIk7L59fgMs/w==", | |
"timestamp": 1666772852236502000, | |
"join": { | |
"topic": "bacalhau-job-event" | |
} | |
} | |
0 | |
{ |
Repo: https://github.com/cmscaltech/docker-hs06/tree/master/hepscore
Using CentOS Stream release 9
. I tried using Red Hat enterprise linux version 7,8,9
but there's a blocking issue with Google Cloud infra at the moment that prevents any yum install
(opened a support ticket with them...).
sudo yum update
sudo yum -y install git
git clone https://github.com/cmscaltech/docker-hs06.git
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. |
alias ll='ls -alF'
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import os | |
import urllib | |
from pymongo import MongoClient | |
def get_conn_string() -> str: | |
conn_string = "mongodb://{}:{}@{}/{}".format( | |
os.getenv("DB_USER"), | |
urllib.parse.quote(os.getenv("DB_PWD")), # escapes invalid chars | |
os.getenv("DB_URI"), |
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""" | |
Run this with | |
cd research/object_detection | |
python export_inference_graph_unfrozen.py --input_type encoded_image_string_tensor --pipeline_config_path samples/configs/ssd_mobilenet_v1_coco.config --trained_checkpoint_prefix ssd_mobilenet_v1_coco_2017_11_17/model.ckpt --output_directory /Users/erotundo/HAL24K/Projects/dockerfiles-tf-serving/ssd_mobilenet_v1_coco/models | |
Make sure you add object_detection in PYTHONPATH | |
Credits to original gist by @dnlglsn: | |
https://gist.github.com/dnlglsn/c42fbe71b448a11cd72041c5fcc08092 | |
References: |
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#!/usr/bin/env bash | |
jupyter lab --ip=* --port=8888 --no-browser --notebook-dir=$HOME --allow-root --NotebookApp.token='' |
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