LiuDongdong

爱好由来落笔难,一诗千改心始安。

MediaPipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, desktop/cloud, web and IoT devices. 1. Introduce End-to-End acceleration: built-in fast ML inference and processing accelerated even on common hardware Build one, deploy anywhere: Unified solution works across Android, iOS, desktop/cloud, web and IoT Ready-to-use solutions: cutting-edge ML solutions demonstrating full power of the framework Free and Open Source 2.PaperReading level: CCF_A

VisionNLPCommend

level: CCF_A CVPR author: Amaia Salvador1(FaceBook Al Research) date: 2019 keyword: image understanding; information retrieval Salvador, Amaia, et al. “Inverse cooking: Recipe generation from food images.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019. Paper: Inverse Cooking Summary introduce an inverse cooking system that recreates cooking recipes given food images. predicts ingredients as sets by means of a novel architecture, modeling their dependencies without imposing any

OpencvBaseOp

0. Image Processing 0.1. Scaling an Image import cv2 import numpy as np FILE_NAME = 'volleyball.jpg' try: # Read image from disk. img = cv2.imread(FILE_NAME) # Get number of pixel horizontally and vertically. (height, width) = img.shape[:2] # Specify the size of image along with interploation methods. # cv2.INTER_AREA is used for shrinking, whereas cv2.INTER_CUBIC # is used for zooming. res = cv2.resize(img, (int(width / 2), int(height / 2)), interpolation

Non-maximumSuppression

NMS: Input: A list of Proposal boxes B, corresponding confidence scores S and overlap threshold N. Output: A list of filtered proposals D. Algorithm: Select the proposal with highest confidence score, remove it from B and add it to the final proposal list D. (Initially D is empty). Now compare this proposal with all the proposals — calculate the IOU (Intersection over Union) of this proposal with every other proposal.

Flask_BookManageSystem

1. JavaScript 1.1. 函数 var cars = ["Saab", "Volvo", "BMW"]; var txt = "string"; var b2=new Boolean(1); var x = Math.PI; // 返回PI var y = Math.sqrt(16); // 返回16的平方根 var num = new Number(value); try { adddlert("Welcome"); } catch(err) { document.getElementById("demo").innerHTML = err.name + "<br>" + err.message; } 1.2. DOM 在 HTML DOM (Document Object Model) 中 , 每
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