심플&스무스코딩

import numpy as np from PIL import Image image = Image.open("lena.png") np_array = np.array(image) pil_image=Image.fromarray(np_array) pil_image.show()

conda env remove -n 삭제할 가상환경 이름

# 텐서플로우 설치 import tensorflow as tf tf.__version__ # COCO API installation : pycocotools 를 설치 => 이미 설치되어있음. ! pip install pycocotools # 깃허브에 있는 레파지토리를, 파이썬의 코드로 clone 하는 방법 import os import pathlib if "models" in pathlib.Path.cwd().parts : while "models" in pathlib.Path.cwd().part : os.chdir('..') elif not pathlib.Path('models').exists() : ! git clone --depth 1 https://github.com/tensorflow/model..

import tensorflow as tf import os import pathlib import numpy as np import zipfile import matplotlib.pyplot as plt from PIL import Image import cv2 from object_detection.utils import ops as utils_ops from object_detection.utils import label_map_util from object_detection.utils import visualization_utils as viz_utils import time # 내 로컬에 설치된 레이블 파일을, 인덱스와 연결시킨다. PATH_TO_LABELS = 'C:\\Users\\405\\D..

import tensorflow as tf import os import pathlib import numpy as np import zipfile import matplotlib.pyplot as plt from PIL import Image import cv2 from object_detection.utils import ops as utils_ops from object_detection.utils import label_map_util from object_detection.utils import visualization_utils as viz_utils import time # 내 로컬에 설치된 레이블 파일을, 인덱스와 연결시킨다. PATH_TO_LABELS = 'C:\\Users\\405\\D..

링크 주소로 이동 에서 오른쪽 클릭 '링크 주소 복사'

import tensorflow as tf import os import pathlib import numpy as np import zipfile import matplotlib.pyplot as plt from PIL import Image import cv2 from object_detection.utils import ops as utils_ops from object_detection.utils import label_map_util from object_detection.utils import visualization_utils as viz_utils # 내 로컬에 설치된 레이블 파일을, 인덱스와 연결시킨다. PATH_TO_LABELS = 'C:\\Users\\405\\Documents\\Te..

%matplotlib inline %matplotlib inline Object Detection From TF2 Saved Model This demo will take you through the steps of running an "out-of-the-box" TensorFlow 2 compatible detection model on a collection of images. More specifically, in this example we will be using the Saved Model Format __ to load the model. Download the test images First we will download the images that we will use throughou..

#!/usr/bin/env python # coding: utf-8 """ Object Detection From TF2 Saved Model ===================================== """ # %% # This demo will take you through the steps of running an "out-of-the-box" TensorFlow 2 compatible # detection model on a collection of images. More specifically, in this example we will be using # the `Saved Model Format `__ to load the model. # %% # Download the test i..

텐서플로우 오브젝트 디텍션을 위해, 윈도우즈 컴만, 설치해야할 소프트웨어 https://visualstudio.microsoft.com/ko/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16