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"""A simple whoami server to analyze incoming HTTP requests

# For simplicity, we don't do:
# 1. Detect End of HTTP Request either by double CRLF(`\r\n\r\n`) or `Content-Length`.
# 2. Parse the HTTP request message.
# Instead, we just do:
# 1. Read max size of `GET` and `POST` requests data is 4096 bytes.
# 2. Close the connection for each request.
"""

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---

authors:

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

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‎‎​

liviaerxin

"""
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

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DICOM Files Read, 3D Reconstruction and Visualization

1. vtk read --> vtk 3D Visualization
2. 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

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

usage:

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

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

usage:

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

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FFmpeg Samples

FFmpeg Wiki

List private options of the codec

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

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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")

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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