Object Detection Inference in Python with YOLOv5 and PyTorch

Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision “in the wild”. On one end, it can be used to build autonomous systems that navigate agents through environments – be it robots performing tasks or self-driving cars, but this requires intersection with other fields. … Read more

RetinaNet Object Detection with PyTorch and torchvision

Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision “in the wild”. On one end, it can be used to build autonomous systems that navigate agents through environments – be it robots performing tasks or self-driving cars, but this requires intersection with other fields. … Read more

Object Detection and Instance Segmentation in Python with Detectron2

Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision “in the wild”. On one end, it can be used to build autonomous systems that navigate agents through environments – be it robots performing tasks or self-driving cars, but this requires intersection with other fields. … Read more

Blinks, Winks, Head Turns — Build a Tinder-Swipe iOS App Using ML Kit’s Face Detection API | by Anupam Chugh

Leverage ML Kit’s Face Detection API to perform touchless swipes Photo by Alexas_Fotos on Unsplash With 3D Motion Sense technology already out on Pixel 4, it looks like our way of interacting with phones is going to change soon. Touchless interactions have a promising future for sure, with Apple’s most ambitious product to date— AR … Read more

SwiftUI + Vision Contour Request — Coin Detection in iOS | by Anupam Chugh

WWDC20 Apple boosts its computer vision ambitions with a bunch of new vision requests Photo by Rahul Bhosale on Unsplash Apple’s WWDC 2020 (digital-only) event kickstarted with a bang. There were a lot of new surprises from the world of SwiftUI, ARKit, PencilKit, Create ML, and Core ML. But the one that stood out for … Read more

Threat Detection for Containers – DZone Refcardz

Teams can mitigate or completely remove threats and security vulnerabilities with the following core concepts. Docker Networking Docker’s networking is a complex part of the Docker infrastructure, and it is essential to understand how it works. It’s important to know what Docker Network Drivers are, for example: By default, one container network stack does not … Read more

python – Running evaluation issue – Tensorflow object detection api (EfficentDet)

Running the evaluation on the test data i get the following error: TypeError: ‘NoneType’ object is not iterable And this, which might be the problem? INFO:tensorflow:A replica probably exhausted all examples. Skipping pending examples on other replicas. This is the code for the evaluation on the test data !python workspace/model_main_tf2.py –pipeline_config_path=”/content/models/efficientdet_d4_coco17_tpu-32/pipeline.config” –model_dir=”/content/models/efficientdet_d4_coco17_tpu-32″ –checkpoint_dir=”/content/models/efficientdet_d4_coco17_tpu-32″ –alsologtostderr Here … Read more

Device Detection in TypeScript. An easier way to test your app’s… | by Adrien Miquel | Jul, 2022

An easier way to test your app’s compatibility Amongst many aspects of web development, device detection looks quite easy. Reading User Agent provides lots of information about the context of browsing. Thanks to this informational string and appropriate Regular Expressions, you can retrieve the device kind, its operating system, and much more. Working with TypeScript … Read more

Implement Language Detection – DZone Integration

Quick question: How many languages ​​are there in the world? Before you rush off to search for the answer, read on. There are over 7000 languages ​​— astonishing, right? Such diversity highlights the importance of translation, which is valuable to us on many levels because it opens us up to a rich range of cultures. … Read more

Image Edge Detection in C++ using OpenCL produces Rotated Image

I am currently trying to implement the Sobel Edge Detection method in C++ using OpenCL to implement part of the code in parallel. I am managing to detect the edges of an input image correctly, however, my output image is a rotated and reflected version of in the input image. Please see the images below … Read more