Skip to main content

TSRCNN_Texture Synthesis with Rotation using CNN package

Project description

TSRCNN : Texture Synthesis with Rotation using CNN We improved the existing CNN texture synthesis technique by rotating the texture image to provide directionality.

How to use :

TSRCNN(image, rotateNum=8, outputScale=2, generateRotation = True, resultNameRotate="resultTextureImg", resultSave=False, Patch_before_limit=False, Patch_before_scale=120)

param image: 이미지 경로 - 필수 입력 (ex)"절대경로") param rotateNum: 360도(중심 기준)/n 만큼 회전시켜 총 n 개의 회전 예제 텍스처를 생성 (n=8개) param outputScale: 결과 이미지 사이즈 얼마나 배로 늘릴것인가 (2배) param generateRotation: 회전 예제 이미지를 생성할것인가? (True) - False 일 경우 기존 회전 예제 이미지 사용할 것을 대비. param resultNameRotate: 저장할 결과 이름 ("resultTextureImg"+".png") param resultSave: 결과를 저장할 것인가? (False) param Patch_before_limit: 초기 이미지 크기 제한 여부 (Flase) - 가로세로 길이가 모두 제한크기 이상 넘어갈 경우 제한크기로 크기조절 param Patch_before_scale: 초기 이미지 제한 크기 (120픽셀) - 클수록 합성 시간 오래 걸림

return: PIL image - Texture Synthesis result

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

TSRCNN-0.0.1.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

TSRCNN-0.0.1-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file TSRCNN-0.0.1.tar.gz.

File metadata

  • Download URL: TSRCNN-0.0.1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for TSRCNN-0.0.1.tar.gz
Algorithm Hash digest
SHA256 e4bacfb9b4169f509ad70a4ae762322c4a63ceca9e18dfd2030dd50532d3fb79
MD5 1989a24eadfcc16aef2e19b651fe9d52
BLAKE2b-256 f58e18788f7d8f1d9fb53b8e88e5020b7cd6e70778d0d1503037dd3c46d1a6af

See more details on using hashes here.

File details

Details for the file TSRCNN-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: TSRCNN-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for TSRCNN-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7ea86f1541960bb63e8e1334323534f62327cc5b37558c966f1f1189c41224bf
MD5 0abaa16f346f485c22968594616cbb9a
BLAKE2b-256 d2e9251a7be6b0540fcaa827952cee41d49222c2e82119035fa8810513873964

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page