조승준 ufxpri

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work with ai

I'm learning electronics and programming and looking forward to being a key part of a big project.

ufxpri / Ed25519_PoC.py

Last active May 26, 2023 02:27

pynacl reuse private_key for later use (Ed25519)

	# based on this document (https://pynacl.readthedocs.io/en/latest/signing/)

	from nacl.signing import SigningKey
	from nacl.encoding import Base64Encoder

	# generate key pair
	signing_key = SigningKey.generate()
	signed_1 = signing_key.sign(b"test text toat")
	public_key_1 = signing_key.verify_key.encode(encoder=Base64Encoder)

ufxpri / pillow2numpy_fast.py

Created August 4, 2022 02:53

	def to_numpy(im:Image):
	im.load()
	e = Image._getencoder(im.mode, 'raw', im.mode)
	e.setimage(im.im)

	# NumPy buffer for the result
	shape, typestr = Image._conv_type_shape(im)
	data = np.empty(shape, dtype=np.dtype(typestr))
	mem = data.data.cast('B', (data.data.nbytes,))

ufxpri / client.py

Last active June 7, 2022 06:49

client side thread pool execute POC

	import time
	import grpc
	from concurrent.futures import ThreadPoolExecutor

	from protos import threadpooltask_pb2 as pb2
	from protos import threadpooltask_pb2_grpc as pb2_grpc

	MAX_WORKERS = 100
	IP_PORT = "0.0.0.0:20000"

ufxpri / klv_stream_player.py

Created June 3, 2022 04:38

play klv stream with ffmpeg and klvdata

	import ffmpeg # https://github.com/kkroening/ffmpeg-python # pip3 install ffmpeg-python
	import klvdata # https://github.com/paretech/klvdata # pip3 install klvdata

	import cv2
	import numpy as np

	stream_path = "klv_stream_sample.ts"

	probe = ffmpeg.probe(stream_path)
	video_streams = [stream for stream in probe['streams'] if stream['codec_type'] == "video"]

ufxpri / python_pillow_exif.py

Created May 19, 2022 06:19

get exif data from image using pillow

	from PIL import Image, ExifTags

	image = Image.open("./sample.JPG")
	exif = image._getexif()

	exif_dict = {}
	for key, value in exif.items():
	if key in ExifTags.TAGS:
	exif_dict[ExifTags.TAGS[key]] = value
	else:

ufxpri / video_memory_sharer.py

Last active May 12, 2022 08:52

python shared memory video transfer

	from multiprocessing.shared_memory import SharedMemory
	import cv2
	# import time
	import numpy as np

	video_source = 'rtsp://admin:1234qwer!@192.168.50.51/ch1/stream1'

	cap = cv2.VideoCapture(video_source)
	ret, frame = cap.read()
	if not ret: raise Exception("Failed to read video source")