Notice
Recent Posts
Recent Comments
Link
250x250
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | ||||||
2 | 3 | 4 | 5 | 6 | 7 | 8 |
9 | 10 | 11 | 12 | 13 | 14 | 15 |
16 | 17 | 18 | 19 | 20 | 21 | 22 |
23 | 24 | 25 | 26 | 27 | 28 |
Tags
- computervision
- 파이썬 #업무자동화 #python
- pyautogui
- 사무자동화
- pythonnet
- YOLOv5
- 업무자동화
- YOLOv7
- processstart
- ironpython
- DeepLearning
- Text-to-Speech
- Text To Speech
- Google API
- google cloud
- yolo
- objectdetection
- pdf merge
- 사무자동화 #Selenium
- pypdf2
Archives
- Today
- Total
Doarchive
Creating an Image Classifier Model in Swift playground 본문
Computer Vision/Deep learning
Creating an Image Classifier Model in Swift playground
오순발닦개 2020. 1. 22. 11:251 Get started with playground
2.select mac os - Blank
3. typing this code and start
3. Drag image folder that you want to train
folder structure have to be like that
Test - object folders - images in to the folder
this is the example, when i make model , I put more than 500 images each object folder
3, After dragging folder training is success
4. Let's evaluation , drag test images and another object images which not used in training
you can check the result like below images // prediction - result
5. save model
6. It can be used in Xcode
728x90
'Computer Vision > Deep learning' 카테고리의 다른 글
[라이브러리] 데이터 시각화: Matplotlib /Seaborn (0) | 2021.01.12 |
---|---|
[라이브러리] 데이터 조작: NumPy / Pandas (0) | 2021.01.12 |
개발환경설정 버전 확인 (0) | 2021.01.12 |
개발환경 설정 - python 기반 - jupyter notebook/keras/tensorflow (0) | 2021.01.12 |
Getting started with Apple Create ML 애플 CreateML 사용하기 (0) | 2020.01.22 |