Frank liviaerxin

SSH Login Setup

Generate ssh key

# Generate ssh key with files(~/.ssh/id_rsa, ~/.ssh/id_rsa/pub) and username in default
ssh-keygen -t rsa

# Generate ssh key with specified files and username
ssh-keygen -t rsa -f ~/.ssh/[KEY_FILENAME] -C [USERNAME]

FastAPI and Uvicorn Logging

When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.

Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.

Before overriding:

uvicorn main:app --reload

FFmpeg Samples

FFmpeg Wiki

List private options of the `codec`

# Show available `presets`
ffmpeg -h encoder=h264_nvenc

DICOM Files Read, 3D Reconstruction and Visualization

vtk read --> vtk 3D Visualization
pydicom read --> numpy 3D Reconstruction --> vtk 3D Visualization

DICOM Processing and Segmentation in Python – Radiology Data Quest Advanced DICOM-CT 3D visualizations with VTK | Kaggle Pulmonary Dicom Preprocessing | Kaggle How to actually to convert 3d numpy array of DICOM images into vtkImageData and vtkAlgorithmOutput? - #2 by dgobbi - Support - VTK

authors:

frank tags:
Python
Unicode
ctypes description: Python Unicode keywords:
Python Unicode

	from multiprocessing import Queue
	from multiprocessing import Process
	import time
	import os
	import numpy as np



	def put_into_queue(q: Queue):
	print(f"PID[{os.getpid()}] put_into_queue")

	"""
	Serving long-running/heavy-computation task via FastAPI and multiprocessing.Process

	usage:

	```sh
	uvicorn main:app --reload
	```
	"""
	from fastapi import FastAPI

	"""
	Serving long-running/heavy-computation task via FastAPI and concurrent.futures.ProcessPoolExecutor

	usage:

	```sh
	uvicorn main:app --reload
	```
	"""
	from fastapi import FastAPI

	"""
	DICOM files --> vtk array --> vtk 3D visualization

	1. read a series of DICOM files by vtkDICOMImageReader(which will do HU and don't resample)
	2. process vtk 3D array with marching cubes algorithm
	3. render vtk 3D array
	"""
	import vtk
	from utils import CreateTissue