Gradio.Net.Image input, output;using(gr.Row()) { input=gr.Image(); output=gr.Image(); }varbtn = gr.Button("Submit");awaitbtn.Click(fn:async(input) => gr.Output(DrawWaterMarkOnImage(Gradio.Net.Image.Payload(input.Data[0]))), inputs:new[] { input }, outputs:new[] { output }...
opened_image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)returnopened_imagedeffn_close_operation(image: np.ndarray, kernel_size:int=3) -> np.ndarray:''' 闭运算函数 参数: - image: 输入的图像 - kernel_size: 卷积核大小,默认为3 返回: - closed_image: 闭运算后的图像 '''kernel = n...
The following will draw ROI on top of input image You click on the left image to get the rect and show on right: with the use ofgr.AnnotatedImage and imagegr.Image.selectto get mouse click coordinate here is the simple code: import gradio as gr ROI_coordinates = { 'x_temp': 0, ...
# draw bounding boxes on the imagedraw=ImageDraw.Draw(image)try:font=ImageFont.truetype("arial.ttf",20)exceptIOError:font=ImageFont.load_default()forpredinpredictions:x=pred['x']y=pred['y']width=pred['width']height=pred['height']left=x-width/2top=y-height/2right=x+width/2bottom=y+...
import os import cv2 from PIL import Image import numpy as np from tqdm import tqdm from paddleocr import PaddleOCR, draw_ocr In [9] # 调试环境的gradio没有直接联网,用户需要在notebook中下好预训练模型 ocr = PaddleOCR(use_angle_cls=False, lang="ch") download https://paddleocr.bj.bcebos.com...
tar zxvf data/nltk_data.tar.gzimportosimportcv2fromPILimportImageimportnumpyasnpfromtqdmimporttqdmfrompaddleocrimportPaddleOCR,draw_ocr# 调试环境的gradio没有直接联网,用户需要在notebook中下好预训练模型ocr=PaddleOCR(use_angle_cls=False,lang="ch")[2023/03/2312:58:28]ppocrDEBUG:Namespace(alpha=1.0,...
DrawWaterMarkOnImage(string inputImageFilePath) { using (var img = SixLabors.ImageSharp.Image.Load(inputImageFilePath)) { var outputFilePath = Path.Combine(Path.GetTempPath(), Guid.NewGuid().ToString() + ".png"); Font font = SystemFonts....
import yaml from PIL import Image, ImageDraw, ImageFont from util.fonts_opt import is_fonts # Gradio YOLOv8 Det版本 GYD_VERSION = "Gradio YOLOv8 Det v1.2.0" # 文件后缀 suffix_list = [".csv", ".yaml"] # 字体大小 FONTSIZE = 25 ...
Additional permissions for audio and camera access are required during streaming, depending on the type of streaming. import gradio as gr import numpy as np def flip(im): return np.flipud(im) demo = gr.Interface( flip, gr.Image(source="webcam", streaming=True), "image", live=True ) de...
gr.ImageEditor(sources=()) If you want to allow users to choose a background image and then draw on the image, previously, you would do: gr.Image(source="upload", tools="color-sketch") Now, this is the default behavior of the ImageEditor component, so you should just write:gr....