Better unit tests with pytest-mock and monkeypatch
How to write better Python unit tests in pytest, from basic tests to mocking with pytest-mock and monkeypatch.
How to write better Python unit tests in pytest, from basic tests to mocking with pytest-mock and monkeypatch.
How to install and use different Python environments with pyenv and the plugin pyenv-virtualenv
What is the difference between the AVCaptureVideoDataOutput and the AVCaptureVideoDataOutputSampleBufferDelegate?
How can I select the front camera as input device?
Difference between Autoencoder and Fully Convolutional Network (FCN)
Adding an object detection model to a SwiftUI app with UIKit.
Tutorial on development of app with live camera feed and device rotation with UIKit hosted in SwiftUI so that an object detector can be added.
Working with UIView, UIViewController, CALayer, and their coordinate systems in the MVC design pattern in UIKit and SwiftUI for iOS.
We develop a simple web application in JavaScript with React and use the model which we trained in Python. Part three of the three part series.
We convert a TensorFlow model which was trained in Python into the TensorFlow.js format so it can be used in JavaScript applications. Part two of three.
We develop a TensorFlow model so that it can be converted into the TensorFlow.js format and integrated into a JavaScript application. Part one of three.
Deconvolutions, transposed convolutions, fractionally strided convolutions, and what to do about artifacts generated by them.
How to export your YOLOv5 model into CoreML to be used on an iOS device.
How to modify IoU and confidence threshold of a coreml model in swift at runtime with MLFeatureProvider.
How to integrate a Pytorch model trained in Python into iOS (Swift) with AVFoundation and Vision.
A look into the mislabelled objects in the COCO dataset with a focus on the traffic lights.
COCO dataset with refined traffic light labels red, green, and na for training driving-related object detectors and beyond.
How COCO annotations are structured and how to use them to train object detection models in Python.
How to estimate the distance to objects of known width using a single camera and an object detector in Python with OpenCV and Pytorch.
Lane line detection as example for the limits of non-learning based techniques.
Part 2 of a brief introduction on hand-crafted feature detectors SIFT and HOG and how to use them in OpenCv, including code.
Part 1 of a brief introduction on hand-crafted feature detectors and how to use them in OpenCv, including code.
Thoughts on the NeurIPS 2020 conference.
Brief instructions on how to set up Detectron2 and the Youtube Downloader when using Anaconda.
Thoughts on the ECCV 2020 conference.
A step-by-step guide on how to set up OpenCV, LibTorch, and Torchvision using CMake for macOS.