Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Official implementation of Score-CAM in PyTorch

Neural network visualization toolkit for tf.keras

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

学生信息管理系统--JavaWeb课程设计作品

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the re-implementation of Score CAM with pytorch

The ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many applications in self-driving cars, pedestrian counting, face detection, vehicle detection etc. One of the crucial element of the self-driving car is the detection of various objects on the road like traffic signals, pedestrian’s other vehicles, sign boards etc. In this project, Convolutional Neural Network (CNN) based approach is used for real-time detection of multiple objects on the road. YOLO (You Only Look Once) v2 Deep Learning model is trained on PASCAL VOC dataset. We achieved mAP score of 78 on test dataset after training the model on NVIDIA DGX-1 V100 Super Computer. The trained model is then applied on recorded videos and on live streaming received through web cam.

Efficient explaining AI algorithms for Keras models

In accordance with survey reports, the growth of online business worldwide is significantly faster and higher in comparison with traditional businesses. The achievements of online commerce has been so impacting that even established business houses have started out online promoting as a complementary work. However, first things always come first, and in case of internet commerce, it is mandatory to create an eCommerce website at the outset. There is a definite way of practicing the process of creating and operating an internet commerce website. Though a professional involvement is always solicited for such efforts, a good knowledge could also help in initiating an online business. Follow these steps to create your eCommerce store from Scratch: Decide the Merchandise You Want to Offer While browsing the internet you'll want noticed the presence of multiple eCommerce websites selling varied items. There are certain websites dedicated to selling a particular line of products or software program as garments, travel plans, fashion items, and so forth. Also, there are some other eCommerce websites that sell multiple things like mobile phones, laptops, household appliances, books, CDs, home cinemas, helpful cams, sports goods, and so on. The particular latter is a like a huge departmental store selling everything under the same roof. At the outset, it is thus important to decide on the merchandise or service that you would like to offer through your website. While selecting the item of trade you will need to estimate the local demand. Purchasers would always prefer to be able to buy items from a local vendor irrespective regarding being online or traditional. Typically the local supplier would always ensure faster deliveries, easier payment terms, and previously replacements in case of wrong or defective deliveries. Choose Your Business Type As an eCommerce business owner, you can choose your business design as each your requirement. Either you can sell only throughout your online store, or, can sell your products on marketplaces like Amazon, FlipKart, eBay, and so forth You can also sell your products on both the programs each time. Choose a Company and Domain Once you have decided on your array of items and business model, the next step would be to choose a business name and create a domain. A business name should be relevant to your products and easy to remember for your target audience. A website gives an identity and makes it easier for online buyers to recognize you. However, for companies with limited financial resources, it would be desirable to get a shared domain. Sharing a domain with an established name makes it easier for calling your target customers. Because the business grows it would be smart to have a dedicated domain as it helps in lookup engine optimization and easier recognition. Select an e-commerce Website Constructor Nowadays, it is very simple to build your online store by using eCommerce website builders like KartRocket. These kinds of DIY online software create websites in few secs to can start promoting products instantly. Designing Your own eCommerce Store Your eCommerce website is your store, and it needs to be made for the convenience of your buyers. Because in a store, your website should contain details about your saleable products and services. Images, explanations, prices, users’ comments, scores should all be as part of your web page for helping prospective buyers. You must make it certain, that your web page displays your products perfectly so that buyers are never misled. You need to make your web pages and website attractive as that will be your representation to buyers online. Set Up the Repayment Entrance As an online business, one must have multiple payment options available for the customers. The eStore builders like KartRocket come with tools that can set up these benefits to your website automatically. The customer should be able to make payments via credit card, debit credit card, online wallets, net bank, COD, etc. Secure Your Website by Installing SSL Certificate For the websites that transfer data online, one must make sure that their connection is protected by a secured security layer (SSL). The SSL document keeps your website secure and builds the trust among your customers. Today, even Google recommends having an SSL certificate for every single website. Select Your own Shipping Partner Once you start selling products through your eCommerce website, you will need to ship those products to your customers with the aid of courier services. eCommerce logistics aggregator services like ShipRocket are the best option to go for. They give you multiple courier organization options to ship your product with the least expensive available shipping charges, so you might have maximum income value in your reveal. These are the basic steps in creating an eCommerce website for your product or service and commence marketing instantly.

Scoreboard application for university camp.

PyTorch implementation of various CAM (Class Activation Mapping) models using TorchVision pre-trained CNN Classifiers.

The ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many applications in self-driving cars, pedestrian counting, face detection, vehicle detection etc. One of the crucial element of the self-driving car is the detection of various objects on the road like traffic signals, pedestrian’s other vehicles, sign boards etc. In this project, Convolutional Neural Network (CNN) based approach is used for real-time detection of multiple objects on the road. YOLO (You Only Look Once) v2 Deep Learning model is trained on PASCAL VOC dataset. We achieved mAP score of 78 on test dataset after training the model on NVIDIA DGX-1 V100 Super Computer. The trained model is then applied on recorded videos and on live streaming received through web cam.

Scoreboard to keep track of character scores in the Camp Buddy game

This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free CAM-based visualization method for explaining CNN decision.

Official pytorch implementation for ScoreCAM++

This project applies Explainable AI to check fraud detection using a CNN with VGG16. We evaluate Grad-CAM variants (Grad-CAM, Grad-CAM++, XGrad-CAM, Score-CAM) under Gaussian noise using SSIM, IoU, and confidence drop. Score-CAM proves most robust for visual explanation stability.

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VE-CAM-S score for assessing delirium severity from visual EEG features

A web-based system for Tuberculosis detection using chest X-ray images, leveraging pre-trained CNN models for classification and Grad-CAM for interpretability. Includes real-time feedback with confidence scores and highlighted affected regions. Features an intuitive interface for medical professionals and non-experts.

A Windows, Unix or Raspberry Pi Computer Motion Tracking Game using a Web Cam or RPI Camera Video Streaming. Uses Body Motion for Menus and Game Play for One or Two Players.. Get High Score by getting most motion hits in moving boxes that get smaller..

Repository containing code to run Score-CAM algorithm available on https://arxiv.org/pdf/1910.01279v1.pdf.

ScoreCAM

Implement score cam for one-dimensional convolutional networks.

This is an unofficial re-implementation of "Perceptual camouflage score" proposed in "The Making and Breaking of Camouflage".

Score-CAMを使ってVGG16風ニューラルネットの特徴量をCIFAR10とラブライブ画像を使って可視化してみる

校内社团积分系统---校链积分

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